Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| 11-deoxycortisol |
Estimate of Within-subject 21.3
Within-subject calculated CI
18.55
to
24.99
Estimate of Between-subject 31.5 Between-subject calculated CI 22.59 to 49.68 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,7,8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| 17-a-hydroxyprogesterone level |
Estimate of Within-subject 19.6
Within-subject calculated CI
17.07
to
22.99
Estimate of Between-subject 52.4 Between-subject calculated CI 38.37 to 81.57 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| a-1 antitrypsin |
Estimate of Within-subject 2.9
Within-subject calculated CI
0.00
to
4.68
Estimate of Between-subject 15.7 Between-subject calculated CI 11.41 to 24.88 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| a-2 macroglobulin level |
Estimate of Within-subject 3.1
Within-subject calculated CI
0.00
to
4.28
Estimate of Between-subject 16.6 Between-subject calculated CI 12.10 to 26.26 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Adiponectin |
Estimate of Within-subject 1.4
Within-subject calculated CI
0.00
to
3.96
Estimate of Between-subject 4.35 Between-subject calculated CI 2.62 to 8.15 |
ID: 0287
Belobrajdic DP, Priebe IK, Forbes B, Flyvbjerg A, Chen JW, Cosgrove LJ, Frystyk J and Saunders IW, 2008, Growth Hormone and IGF Res, 18, 198-204 , Assessing the potential usefulness of IGF-related peptides and adiponectin for predicting disease risk |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4 | C8,12,13 |
| Adiponectin |
Estimate of Within-subject 12.2
Within-subject calculated CI
8.02
to
17.72
Estimate of Between-subject 32.6 Between-subject calculated CI 22.14 to 58.14 |
ID: 0199
Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,12,13 |
| Adiponectin |
Estimate of Within-subject 17.9
Within-subject calculated CI
13.73
to
24.55
Estimate of Between-subject 54.3 Between-subject calculated CI 37.30 to 96.25 |
ID: 0199
Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,12,13 |
| Adiponectin |
Estimate of Within-subject 18.8
Within-subject calculated CI
14.65
to
25.56
Estimate of Between-subject 51.2 Between-subject calculated CI 35.05 to 90.94 |
ID: 0199
Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Adrenaline level |
Estimate of Within-subject 45.9
Within-subject calculated CI
37.94
to
58.10
Estimate of Between-subject 85.3 Between-subject calculated CI 67.72 to 110.68 |
ID: 0446
Curtin F, Walker JP and Schulz P, 1996, J Affect Dissord, 38, 173-8 , Day-to-day intraindividual reliability and interindividual differences in monoamines excretion |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males 44 Number of females | C7,8,10,13 |
| Adrenaline level |
Estimate of Within-subject 135.0
Within-subject calculated CI
129.25
to
141.29
Estimate of Between-subject 54.0 Between-subject calculated CI 36.90 to 93.75 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Adrenaline level |
Estimate of Within-subject 161.0
Within-subject calculated CI
146.36
to
173.26
Estimate of Between-subject 21.0 Between-subject calculated CI 4.57 to 44.93 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Adrenaline level |
Estimate of Within-subject 89.0
Within-subject calculated CI
85.18
to
93.18
Estimate of Between-subject 57.0 Between-subject calculated CI 39.82 to 97.64 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Adrenaline level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0447
Li XS, Li S, Wynveen P et al. , 2014, Anal Bioanal Chem, 406, 7287-97 , Development and validation of a specific and sensitive LC-MS/MS method for quantification of urinary catecholamines and application in biological variation studies |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 10 Number of females 15 | C7,8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Alanine transaminase (ALT) |
Estimate of Within-subject 15.6
Within-subject calculated CI
11.76
to
18.85
Estimate of Between-subject 27.7 Between-subject calculated CI 21.42 to 38.00 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 10.1
Within-subject calculated CI
9.14
to
11.19
Estimate of Between-subject 28.2 Between-subject calculated CI 22.83 to 36.76 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 9.3
Within-subject calculated CI
8.70
to
9.95
Estimate of Between-subject 28.0 Between-subject calculated CI 24.34 to 32.92 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 9.6
Within-subject calculated CI
8.82
to
10.46
Estimate of Between-subject 25.2 Between-subject calculated CI 21.06 to 31.29 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 15.7
Within-subject calculated CI
13.67
to
18.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C4,8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 13.0
Within-subject calculated CI
11.37
to
15.09
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C4,8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 14.1
Within-subject calculated CI
12.04
to
16.89
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 14.4
Within-subject calculated CI
12.22
to
17.41
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C4,8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 19.4
Within-subject calculated CI
17.43
to
21.64
Estimate of Between-subject 44.7 Between-subject calculated CI 38.04 to 53.90 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 23.9
Within-subject calculated CI
21.52
to
26.72
Estimate of Between-subject 47.7 Between-subject calculated CI 40.15 to 58.28 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 14.0
Within-subject calculated CI
11.96
to
16.01
Estimate of Between-subject 36.5 Between-subject calculated CI 30.54 to 45.10 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males Number of females 56 | C8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 17.3
Within-subject calculated CI
15.30
to
19.50
Estimate of Between-subject 40.4 Between-subject calculated CI 34.03 to 49.41 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 3.57
Within-subject calculated CI
3.17
to
4.06
Estimate of Between-subject 12.56 Between-subject calculated CI 10.27 to 16.13 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10 |
| Alanine transaminase (ALT) |
Estimate of Within-subject 6.7
Within-subject calculated CI
4.74
to
9.94
Estimate of Between-subject 83.9 Between-subject calculated CI 0.00 to 142.57 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C4,8,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Albumin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Albumin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Albumin |
Estimate of Within-subject 2.3
Within-subject calculated CI
0.00
to
5.78
Estimate of Between-subject 4.7 Between-subject calculated CI 1.97 to 30.70 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Albumin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.36
to
2.66
Estimate of Between-subject 5.1 Between-subject calculated CI 4.43 to 6.00 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological VariationData for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Albumin |
Estimate of Within-subject 1.5
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 4 Number of females 5 | C10,12 |
| Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
| Albumin |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
| Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.51
to
3.15
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
| Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
2.68
to
3.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C8,10,13 |
| Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.22
to
2.84
Estimate of Between-subject 3.7 Between-subject calculated CI 2.76 to 5.48 |
ID: 0024
Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10 | C8,10,12,13 |
| Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
3.01
to
3.38
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
| Albumin |
Estimate of Within-subject 4.45
Within-subject calculated CI
3.52
to
5.78
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C8,10,13 |
| Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.20
to
3.52
Estimate of Between-subject 5.8 Between-subject calculated CI 4.62 to 7.58 |
ID: 0037
Eckfeldt J,Chambless Ll and Shen Y, 1994, Arch Pathol Lab Med, 118, 496-500 , Short-term, within-person variability in clinical chemistry test results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females | C13 |
| Albumin |
Estimate of Within-subject 6.7
Within-subject calculated CI
6.20
to
7.24
Estimate of Between-subject 5.5 Between-subject calculated CI 4.11 to 8.07 |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
| Albumin |
Estimate of Within-subject 4.4
Within-subject calculated CI
3.88
to
5.07
Estimate of Between-subject 9.7 Between-subject calculated CI 6.61 to 17.80 |
ID: 0046
Fraser CG and Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10 |
| Albumin |
Estimate of Within-subject 2.6
Within-subject calculated CI
2.36
to
2.88
Estimate of Between-subject 3.4 Between-subject calculated CI 2.63 to 4.70 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C4,10 |
| Albumin |
Estimate of Within-subject 11.0
Within-subject calculated CI
8.37
to
15.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C10 |
| Albumin |
Estimate of Within-subject 1.36
Within-subject calculated CI
1.20
to
1.56
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C10 |
| Albumin |
Estimate of Within-subject 2.53
Within-subject calculated CI
2.30
to
2.81
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 22 Number of males 11 Number of females 11 | C10 |
| Albumin |
Estimate of Within-subject 2.68
Within-subject calculated CI
2.16
to
3.45
Estimate of Between-subject 3.44 Between-subject calculated CI 2.33 to 5.58 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
| Albumin |
Estimate of Within-subject 2.2
Within-subject calculated CI
1.89
to
2.57
Estimate of Between-subject 4.1 Between-subject calculated CI 2.98 to 6.41 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
| Albumin |
Estimate of Within-subject 3.9
Within-subject calculated CI
3.60
to
4.22
Estimate of Between-subject 6.3 Between-subject calculated CI 5.34 to 7.63 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | C8,10,13 |
| Albumin |
Estimate of Within-subject 2.0
Within-subject calculated CI
1.64
to
2.47
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
| Albumin |
Estimate of Within-subject 2.7
Within-subject calculated CI
2.32
to
3.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
| Albumin |
Estimate of Within-subject 2.7
Within-subject calculated CI
2.32
to
3.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
| Albumin |
Estimate of Within-subject 2.1
Within-subject calculated CI
1.73
to
2.59
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
| Albumin |
Estimate of Within-subject 4.1
Within-subject calculated CI
0.00
to
5.85
Estimate of Between-subject 5.1 Between-subject calculated CI 3.66 to 7.67 |
ID: 0092
Juan-Pereira L., and Fuentes-Arderiu X., 1989, Clin Chem, 35, 1544 , Intra-Individual Variation of the Electrophoretic Serum Protein Fractions |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 6 Number of females 14 | C6,8,10,11,12,13 |
| Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
1.82
to
3.63
Estimate of Between-subject 8.9 Between-subject calculated CI 6.93 to 10.51 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | C8,10,12,13 |
| Albumin |
Estimate of Within-subject 3.5
Within-subject calculated CI
3.31
to
3.70
Estimate of Between-subject 7.5 Between-subject calculated CI 7.11 to 7.93 |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, National Health Statistics Reports , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | C10 |
| Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
0.00
to
22.47
Estimate of Between-subject 6.0 Between-subject calculated CI 0.00 to 40.84 |
ID: 0110
Morris HA, Wishart JM, Horowitz M, Need AG and Nordin BEC, 1990, Ann Clin Biochem, 27, 562-8 , The reproducibility of bone-related biochemical variables in post-menopausal women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 60 Number of males Number of females 60 | C10 |
| Albumin |
Estimate of Within-subject 1.5
Within-subject calculated CI
1.11
to
2.14
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10,11,12,13 |
| Albumin |
Estimate of Within-subject 3.4
Within-subject calculated CI
2.80
to
4.30
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,11,12,13 |
| Albumin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.25
to
4.56
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C8,10,11,12,13 |
| Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0130
Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | C10 |
| Albumin |
Estimate of Within-subject 3.4
Within-subject calculated CI
3.08
to
3.78
Estimate of Between-subject 5.9 Between-subject calculated CI 4.99 to 7.15 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females | C8 |
| Albumin |
Estimate of Within-subject 3.0
Within-subject calculated CI
2.70
to
3.36
Estimate of Between-subject 5.1 Between-subject calculated CI 4.27 to 6.26 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62 | C8 |
| Albumin |
Estimate of Within-subject 4.5
Within-subject calculated CI
4.08
to
5.01
Estimate of Between-subject 5.6 Between-subject calculated CI 4.61 to 6.95 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8 |
| Albumin |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.91
to
4.77
Estimate of Between-subject 5.3 Between-subject calculated CI 4.41 to 6.50 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
| Albumin |
Estimate of Within-subject 2.76
Within-subject calculated CI
2.34
to
3.33
Estimate of Between-subject 5.02 Between-subject calculated CI 3.72 to 7.46 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males Number of females 19 | C8,10,13 |
| Albumin |
Estimate of Within-subject 2.4
Within-subject calculated CI
2.04
to
2.87
Estimate of Between-subject 2.74 Between-subject calculated CI 1.97 to 4.08 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females | C8,10,13 |
| Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.22
to
2.84
Estimate of Between-subject 5.08 Between-subject calculated CI 4.11 to 6.57 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10,13 |
| Albumin |
Estimate of Within-subject 3.8
Within-subject calculated CI
2.52
to
5.76
Estimate of Between-subject 9.5 Between-subject calculated CI 6.47 to 16.48 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
| Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
to
Estimate of Between-subject 0.5 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
| Albumin |
Estimate of Within-subject 2.96
Within-subject calculated CI
2.46
to
3.60
Estimate of Between-subject 2.18 Between-subject calculated CI 1.28 to 4.28 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Aldosterone |
Estimate of Within-subject 27.7
Within-subject calculated CI
24.84
to
31.19
Estimate of Between-subject 91.1 Between-subject calculated CI 78.67 to 107.91 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4 | C8,10 |
| Aldosterone |
Estimate of Within-subject 36.6
Within-subject calculated CI
32.23
to
42.25
Estimate of Between-subject 34.7 Between-subject calculated CI 25.45 to 49.29 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14 | C8,10 |
| Aldosterone |
Estimate of Within-subject 19.0
Within-subject calculated CI
16.45
to
22.10
Estimate of Between-subject 18.4 Between-subject calculated CI 14.40 to 22.68 |
ID: 0453
Nishiyama K, Tsutamoto T, Kawahara C et al, 2011, Circ J, 75, 1897-904 , Relationship Between Biological Variation in B-Type Natriuretic Peptide and Plasma Renin Concentration in Stable Outpatients With Dilated Cardiomyopathy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 115 Number of males 107 Number of females 8 | C7,8,10,11,13 |
| Aldosterone |
Estimate of Within-subject 29.4
Within-subject calculated CI
25.61
to
34.49
Estimate of Between-subject 40.1 Between-subject calculated CI 28.60 to 63.44 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 3.4
Within-subject calculated CI
0.00
to
6.91
Estimate of Between-subject 37.4 Between-subject calculated CI 26.70 to 61.91 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 4.9
Within-subject calculated CI
1.70
to
7.44
Estimate of Between-subject 77.5 Between-subject calculated CI 57.20 to 120.02 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 3.5
Within-subject calculated CI
1.71
to
5.68
Estimate of Between-subject 35.9 Between-subject calculated CI 22.36 to 88.15 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 4.9
Within-subject calculated CI
3.67
to
7.17
Estimate of Between-subject 41.4 Between-subject calculated CI 25.78 to 101.66 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 6.8
Within-subject calculated CI
5.97
to
7.76
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 9.0
Within-subject calculated CI
8.03
to
9.99
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0067
Hannon R, Blumsohn A, Naylor K, Eastell R., 1998, J Bone Mineral Res, 13, 1124-33 , Response of biochemical markers of bone turnover to hormone replacement therapy: impact of biological variability |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C10 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 6.6
Within-subject calculated CI
5.15
to
8.97
Estimate of Between-subject 35.6 Between-subject calculated CI 0.00 to 62.67 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,13 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 7.7
Within-subject calculated CI
5.54
to
12.11
Estimate of Between-subject 21.1 Between-subject calculated CI 12.78 to 52.49 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10,13 |
| Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 5.7
Within-subject calculated CI
3.99
to
9.08
Estimate of Between-subject 42.8 Between-subject calculated CI 0.00 to 105.18 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 12.4
Within-subject calculated CI
10.06
to
16.13
Estimate of Between-subject 66.2 Between-subject calculated CI 47.27 to 109.58 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 4.5
Within-subject calculated CI
3.37
to
6.12
Estimate of Between-subject 28.1 Between-subject calculated CI 20.07 to 46.50 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.6
Within-subject calculated CI
4.57
to
6.69
Estimate of Between-subject 27.2 Between-subject calculated CI 21.59 to 36.66 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.38
to
5.79
Estimate of Between-subject 26.5 Between-subject calculated CI 21.13 to 35.48 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C4,8,10,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.9
Within-subject calculated CI
4.41
to
7.34
Estimate of Between-subject 29.7 Between-subject calculated CI 22.63 to 43.01 |
ID: 0004
Beck Jensen JE, Sorensen HA, Kollerup G, Jensen LB, Sor ensen OH, 1994, Scand J Clin Lab Invest, 54(Sup219), 36-9 , Biological variation of biochemical bone markers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 20 Number of males Number of females 20 | C4,5,8,10,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 4.5
Within-subject calculated CI
0.00
to
6.21
Estimate of Between-subject 19.9 Between-subject calculated CI 13.98 to 33.96 |
ID: 0004
Beck Jensen JE, Sorensen HA, Kollerup G, Jensen LB, Sor ensen OH, 1994, Scand J Clin Lab Invest, 54(Sup219), 36-9 , Biological variation of biochemical bone markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,5,8,10,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.4
Within-subject calculated CI
5.03
to
5.81
Estimate of Between-subject 24.2 Between-subject calculated CI 20.32 to 29.90 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.3
Within-subject calculated CI
5.01
to
5.62
Estimate of Between-subject 24.9 Between-subject calculated CI 21.65 to 29.29 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 86 Number of males 33 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.56
to
5.50
Estimate of Between-subject 25.4 Between-subject calculated CI 20.46 to 33.46 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 33 Number of males 33 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.99
to
6.13
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.83
Within-subject calculated CI
5.16
to
6.69
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C10 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 9.87
Within-subject calculated CI
9.00
to
10.92
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 22 Number of males 11 Number of females 11 | C10 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.8
Within-subject calculated CI
4.19
to
9.10
Estimate of Between-subject 18.4 Between-subject calculated CI 11.24 to 45.61 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.0
Within-subject calculated CI
4.73
to
8.10
Estimate of Between-subject 20.8 Between-subject calculated CI 14.36 to 36.77 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.4
Within-subject calculated CI
4.65
to
10.02
Estimate of Between-subject 23.3 Between-subject calculated CI 14.31 to 57.61 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.1
Within-subject calculated CI
3.94
to
7.31
Estimate of Between-subject 22.9 Between-subject calculated CI 19.38 to 27.90 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 7.3
Within-subject calculated CI
5.69
to
8.46
Estimate of Between-subject 34.9 Between-subject calculated CI 29.90 to 41.85 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 7.9
Within-subject calculated CI
6.25
to
9.15
Estimate of Between-subject 36.1 Between-subject calculated CI 30.69 to 43.76 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
| Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.9
Within-subject calculated CI
3.44
to
7.17
Estimate of Between-subject 21.4 Between-subject calculated CI 17.95 to 26.39 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Alphafetoprotein level |
Estimate of Within-subject 12.4
Within-subject calculated CI
0.00
to
450.74
Estimate of Between-subject 45.1 Between-subject calculated CI 0.00 to 62.46 |
ID: 0219
Trapé J, Franquesa J, Sala M, Domenech M, Montesinos J, Catot S, Buxó J, Casado E, Fígols C, Harillo S, Galobart J and Bella M, 2010, Clin Chem Lab Med, 48, 1799-1801 , Determination of biological variation of -fetoprotein and choriogonadotropin ( chain) in disease-free patients with testicular cancer |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males 28 Number of females | C3,5,7,8,10,11,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Amylase |
Estimate of Within-subject 7.1
Within-subject calculated CI
6.65
to
7.62
Estimate of Between-subject 31.4 Between-subject calculated CI 26.36 to 38.80 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Amylase |
Estimate of Within-subject 6.3
Within-subject calculated CI
5.82
to
6.87
Estimate of Between-subject 30.0 Between-subject calculated CI 24.36 to 39.01 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Amylase |
Estimate of Within-subject 6.8
Within-subject calculated CI
6.46
to
7.18
Estimate of Between-subject 30.4 Between-subject calculated CI 26.49 to 35.66 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 89 Number of males 36 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Amylase |
Estimate of Within-subject 10.8
Within-subject calculated CI
9.91
to
11.86
Estimate of Between-subject 32.1 Between-subject calculated CI 25.29 to 43.81 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C8,10,13 |
| Amylase |
Estimate of Within-subject 5.04
Within-subject calculated CI
4.28
to
6.07
Estimate of Between-subject 21.07 Between-subject calculated CI 15.95 to 30.88 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females 19 | C8,10 |
| Amylase |
Estimate of Within-subject 4.15
Within-subject calculated CI
3.53
to
4.97
Estimate of Between-subject 26.8 Between-subject calculated CI 20.58 to 38.35 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females | C8,10 |
| Amylase |
Estimate of Within-subject 4.29
Within-subject calculated CI
3.81
to
4.88
Estimate of Between-subject 25.6 Between-subject calculated CI 20.99 to 32.80 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Androstenedione level |
Estimate of Within-subject 20.1
Within-subject calculated CI
15.95
to
26.56
Estimate of Between-subject 26.5 Between-subject calculated CI 15.87 to 60.37 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C4,8,10 |
| Androstenedione level |
Estimate of Within-subject 11.5
Within-subject calculated CI
9.01
to
14.79
Estimate of Between-subject 51.1 Between-subject calculated CI 34.96 to 93.58 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | C4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Antimullerian hormone level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0374
Bungum L, TageviJ, Jokubkiene L et al, 2018, Frontiers in Endocrinology, 9, 1-10 , The impact of the biological variability or assay performance on AMH measurements: a prospective cohort study with AMH tested on three analytical assay-platforms |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 0 Number of females 26 | C10,13 |
| Antimullerian hormone level |
Estimate of Within-subject 19.2
Within-subject calculated CI
17.32
to
21.48
Estimate of Between-subject 20.4 Between-subject calculated CI 15.97 to 27.10 |
ID: 0387
Hadlow NH, Brown SJ, Habbib A et al, 2016, Reproductive Endocrinology, 106(5), 1230-7 , Quantifying the intraindividual variation of antiüllerian hormone in the ovarian cycle |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males Number of females 41 | C8,10,13 |
| Antimullerian hormone level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0379
Kissell KA, Danaher MR, Schisterman EF et al379. Kissell KA, Danaher MR, Schisterman EF et al, 2014, Human Reproduction, 29(8), 1764-72 , Biological variability in sèrum anti-Müllerian hormone throughout the menstrual cycle in pvulatory and sporadic anovulatory cicles in eumenorrheic women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 259 Number of males 0 Number of females 259 | C8,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Apolipoprotein A1 level |
Estimate of Within-subject 10.4
Within-subject calculated CI
3.73
to
13.26
Estimate of Between-subject 15.9 Between-subject calculated CI 12.40 to 20.88 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
10.43
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 4.6
Within-subject calculated CI
0.00
to
8.74
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 4.7
Within-subject calculated CI
4.13
to
5.44
Estimate of Between-subject 8.8 Between-subject calculated CI 6.22 to 14.66 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 6.6
Within-subject calculated CI
6.03
to
7.28
Estimate of Between-subject 13.8 Between-subject calculated CI 10.83 to 18.89 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
| Apolipoprotein A1 level |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
9.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 38 Number of males Number of females 38 | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 5.9
Within-subject calculated CI
0.00
to
8.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 43 Number of males 43 Number of females | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 8.8
Within-subject calculated CI
0.00
to
11.84
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 26 Number of males Number of females 26 | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 7.1
Within-subject calculated CI
5.16
to
8.35
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64 | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 5.7
Within-subject calculated CI
0.00
to
8.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 17.8 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10128 Number of males Number of females | C5,7,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.46
to
7.50
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1060 Number of males Number of females | C5,7,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 6.2
Within-subject calculated CI
4.73
to
7.70
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 10.2
Within-subject calculated CI
7.29
to
13.09
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 8.33
Within-subject calculated CI
6.37
to
10.21
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,11,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 6.4
Within-subject calculated CI
0.00
to
8.50
Estimate of Between-subject 15.3 Between-subject calculated CI 11.74 to 21.66 |
ID: 0120
Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0 | C8,12,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 3.6
Within-subject calculated CI
2.85
to
4.72
Estimate of Between-subject 8.0 Between-subject calculated CI 5.45 to 14.25 |
ID: 0121
Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | B9,11 |
| Apolipoprotein A1 level |
Estimate of Within-subject 4.1
Within-subject calculated CI
0.00
to
5.82
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0141
Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12 | C8,10,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 9.4
Within-subject calculated CI
0.00
to
13.25
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
| Apolipoprotein A1 level |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
9.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Apolipoprotein B |
Estimate of Within-subject 8.2
Within-subject calculated CI
6.93
to
9.74
Estimate of Between-subject 10.7 Between-subject calculated CI 8.36 to 14.04 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
| Apolipoprotein B |
Estimate of Within-subject 7.3
Within-subject calculated CI
6.40
to
8.47
Estimate of Between-subject 25.1 Between-subject calculated CI 17.92 to 41.55 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
| Apolipoprotein B |
Estimate of Within-subject 8.3
Within-subject calculated CI
7.60
to
9.13
Estimate of Between-subject 25.7 Between-subject calculated CI 20.25 to 35.07 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
| Apolipoprotein B |
Estimate of Within-subject 5.7
Within-subject calculated CI
4.08
to
6.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 43 Number of males 43 Number of females | C8,10,11,13 |
| Apolipoprotein B |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
10.22
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | C8,10,11,13 |
| Apolipoprotein B |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.75
to
7.08
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64 | C8,10,11,13 |
| Apolipoprotein B |
Estimate of Within-subject 5.3
Within-subject calculated CI
3.53
to
6.57
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 38 Number of males Number of females 38 | C8,10,11,13 |
| Apolipoprotein B |
Estimate of Within-subject 9.6
Within-subject calculated CI
7.55
to
12.05
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 26 Number of males Number of females 26 | C8,10,11,13 |
| Apolipoprotein B |
Estimate of Within-subject 9.5
Within-subject calculated CI
9.08
to
9.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1073 Number of males Number of females | C5,7,10,13 |
| Apolipoprotein B |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 27.6 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10168 Number of males Number of females | C5,7,10,13 |
| Apolipoprotein B |
Estimate of Within-subject 7.4
Within-subject calculated CI
6.08
to
9.10
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
| Apolipoprotein B |
Estimate of Within-subject 13.5
Within-subject calculated CI
12.01
to
15.03
Estimate of Between-subject 27.2 Between-subject calculated CI 20.97 to 38.38 |
ID: 0120
Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0 | C8,12,13 |
| Apolipoprotein B |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.42
to
5.41
Estimate of Between-subject 20.5 Between-subject calculated CI 14.26 to 36.08 |
ID: 0121
Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | B9,11 |
| Apolipoprotein B |
Estimate of Within-subject 4.9
Within-subject calculated CI
0.00
to
6.43
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0141
Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12 | C8,10,13 |
| Apolipoprotein B |
Estimate of Within-subject 9.7
Within-subject calculated CI
0.00
to
14.44
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
| Apolipoprotein B |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
10.44
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Aspartate transaminase (AST) |
Estimate of Within-subject 4.7
Within-subject calculated CI
3.70
to
5.65
Estimate of Between-subject 21.8 Between-subject calculated CI 17.29 to 29.39 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 10.3
Within-subject calculated CI
9.42
to
11.31
Estimate of Between-subject 14.7 Between-subject calculated CI 11.82 to 19.17 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 9.5
Within-subject calculated CI
8.96
to
10.09
Estimate of Between-subject 20.3 Between-subject calculated CI 17.64 to 23.86 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 8.9
Within-subject calculated CI
8.23
to
9.65
Estimate of Between-subject 22.4 Between-subject calculated CI 18.72 to 27.81 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 52 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 10.5
Within-subject calculated CI
8.81
to
12.80
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C4,8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 14.5
Within-subject calculated CI
12.39
to
17.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 9.74
Within-subject calculated CI
8.36
to
11.52
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C4,8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 12.3
Within-subject calculated CI
10.74
to
14.30
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C4,8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 5.28
Within-subject calculated CI
4.04
to
7.01
Estimate of Between-subject 13.58 Between-subject calculated CI 8.60 to 30.18 |
ID: 0277
Horder M and Bowers GN, 1977, Clin Chem, 23, 551-4 , Biological variability in aspartate aminotransferase activity in serum of healthy persons, and effect of in vitro supplementation with pyridoxal 5-phosphate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males Number of females 6 | C4,8,10 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 5.14
Within-subject calculated CI
3.67
to
7.63
Estimate of Between-subject 13.23 Between-subject calculated CI 7.31 to 49.83 |
ID: 0277
Horder M and Bowers GN, 1977, Clin Chem, 23, 551-4 , Biological variability in aspartate aminotransferase activity in serum of healthy persons, and effect of in vitro supplementation with pyridoxal 5-phosphate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 3 Number of males 3 Number of females | C4,8,10 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 18.4
Within-subject calculated CI
16.74
to
20.40
Estimate of Between-subject 23.4 Between-subject calculated CI 19.49 to 28.67 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 13.2
Within-subject calculated CI
11.77
to
14.89
Estimate of Between-subject 22.8 Between-subject calculated CI 18.88 to 28.38 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 18.3
Within-subject calculated CI
16.56
to
20.41
Estimate of Between-subject 26.2 Between-subject calculated CI 21.78 to 32.30 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 13.8
Within-subject calculated CI
12.40
to
15.46
Estimate of Between-subject 24.9 Between-subject calculated CI 20.84 to 30.60 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 12 | C8,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 21.4
Within-subject calculated CI
0.00
to
37.57
Estimate of Between-subject 30.7 Between-subject calculated CI 19.26 to 39.70 |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477 | C4,5,8,10,13 |
| Aspartate transaminase (AST) |
Estimate of Within-subject 8.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0276
Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C4,8,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| b-2 microglobulin level |
Estimate of Within-subject 5.9
Within-subject calculated CI
4.61
to
6.85
Estimate of Between-subject 15.5 Between-subject calculated CI 11.71 to 22.75 |
ID: 0024
Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Basophils |
Estimate of Within-subject 8.8
Within-subject calculated CI
2.69
to
12.80
Estimate of Between-subject 26.7 Between-subject calculated CI 20.11 to 38.71 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 12 Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Basophils |
Estimate of Within-subject 12.8
Within-subject calculated CI
10.02
to
16.05
Estimate of Between-subject 33.9 Between-subject calculated CI 25.69 to 48.95 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 9 Number of females 12 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Basophils |
Estimate of Within-subject 11.36
Within-subject calculated CI
8.37
to
13.99
Estimate of Between-subject 22.1 Between-subject calculated CI 17.25 to 30.14 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males 13 Number of females 17 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Basophils |
Estimate of Within-subject 32.0
Within-subject calculated CI
30.63
to
33.42
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males Number of females | C2,7,8,10,13 |
| Basophils |
Estimate of Within-subject 19.4
Within-subject calculated CI
16.27
to
22.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females | C2,7,8,10,13 |
| Basophils |
Estimate of Within-subject 8.8
Within-subject calculated CI
5.55
to
11.27
Estimate of Between-subject 32.2 Between-subject calculated CI 24.39 to 47.17 |
ID: 0304
Hilderink JM, Kilinkenberg LJJ, Aakre KM, de Wit NCJ, Henskens YMC, van der Linden N et al, 2017, Clin Chem Lab Med, 55, 1013-24 , Within-day biological variation and hour-to-hour reference change values for hematological parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males 19 Number of females 5 | C7 |
| Basophils |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
11.02
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject 9.8
Within-subject calculated CI
0.00
to
14.14
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject 15.0
Within-subject calculated CI
0.00
to
19.35
Estimate of Between-subject 54.8 Between-subject calculated CI 41.58 to 79.59 |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject 90.4
Within-subject calculated CI
69.18
to
130.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 20 Number of females 0 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 143.06 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 508 Number of males Number of females 508 | C7,8,10,12,13 |
| Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 137.93 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 452 Number of males Number of females | C7,8,10,12,13 |
| Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 146.0 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 840 Number of males Number of females | C7,8,10,12,13 |
| Basophils |
Estimate of Within-subject 133.2
Within-subject calculated CI
106.44
to
178.05
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females | C7,8,10,13 |
| Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 136.5 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 332 Number of males 332 Number of females 0 | C7,8,10,12,13 |
| Basophils |
Estimate of Within-subject 126.4
Within-subject calculated CI
106.41
to
155.71
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 54 Number of males 20 Number of females 34 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject 119.2
Within-subject calculated CI
93.09
to
165.84
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males Number of females | C7,8,10,13 |
| Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 156.76 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 388 Number of males Number of females | C7,8,10,12,13 |
| Basophils |
Estimate of Within-subject 168.3
Within-subject calculated CI
136.13
to
220.51
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 34 Number of males 0 Number of females 34 | C7,8,10,13 |
| Basophils |
Estimate of Within-subject 14.9
Within-subject calculated CI
12.65
to
17.44
Estimate of Between-subject 24.9 Between-subject calculated CI 19.96 to 32.36 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males 21 Number of females 20 | C10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Calcium level |
Estimate of Within-subject 40.1
Within-subject calculated CI
35.58
to
45.93
Estimate of Between-subject 62.8 Between-subject calculated CI 48.96 to 85.43 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Calcium level |
Estimate of Within-subject 35.7
Within-subject calculated CI
31.67
to
40.89
Estimate of Between-subject 64.7 Between-subject calculated CI 50.77 to 87.63 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Calcium level |
Estimate of Within-subject 40.8
Within-subject calculated CI
36.22
to
46.72
Estimate of Between-subject 59.7 Between-subject calculated CI 46.37 to 81.42 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Calcium level |
Estimate of Within-subject 54.1
Within-subject calculated CI
48.02
to
61.95
Estimate of Between-subject 58.5 Between-subject calculated CI 44.26 to 81.08 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Calcium level |
Estimate of Within-subject 2.14
Within-subject calculated CI
1.89
to
2.43
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
| Calcium level |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.64
to
3.21
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 22 Number of males 11 Number of females 11 | C10 |
| Calcium level |
Estimate of Within-subject 1.81
Within-subject calculated CI
1.60
to
2.08
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C10 |
| Calcium level |
Estimate of Within-subject 1.7
Within-subject calculated CI
0.00
to
2.18
Estimate of Between-subject 3.2 Between-subject calculated CI 2.46 to 4.42 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14 | C3,4,8,10 |
| Calcium level |
Estimate of Within-subject 1.6
Within-subject calculated CI
0.71
to
2.00
Estimate of Between-subject 3.3 Between-subject calculated CI 2.79 to 3.97 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4 | C3,4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cancer antigen 125 (CA-125) |
Estimate of Within-subject 9.1
Within-subject calculated CI
7.88
to
10.75
Estimate of Between-subject 10.6 Between-subject calculated CI 7.88 to 14.93 |
ID: 0258
Braga F, Ferraro S, Mozzi R and Panteghini M, 2014, Clin Chem Lab Med, 52, 1625-31 , The importance of individual biology in the clinical use of serum biomarkers for ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 0 Number of females 28 | B7,8 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 17.3
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 0 Number of females 12 | C6,10,12 |
| Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 6.2
Within-subject calculated CI
0.00
to
9.48
Estimate of Between-subject 62.9 Between-subject calculated CI 48.35 to 89.95 |
ID: 0151
Sölétormos G, Schioler V, Nielsen D, Skovsgaard T, Domnerbowsky P, 1993, Clin Chem, 39, 2077-83 , Interpretation of results for tumor markers on the basis of analytical imprecision an biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 0 Number of females 22 | C8,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 27.2
Within-subject calculated CI
24.01
to
31.33
Estimate of Between-subject 64.24 Between-subject calculated CI 51.88 to 83.53 |
ID: 0358
Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24 | C8,10 |
| Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 15.9
Within-subject calculated CI
13.75
to
18.78
Estimate of Between-subject 159.0 Between-subject calculated CI 119.23 to 238.48 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C8,10,12,13 |
| Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 6.76
Within-subject calculated CI
5.90
to
7.84
Estimate of Between-subject 48.56 Between-subject calculated CI 37.11 to 70.18 |
ID: 0441
Qi Z, Zhang Lin, Chen Y, Ma X et al, 2015, Clin Chim Acta, 450, 233-6 , . Biological variations of seven tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 11 Number of females 9 | C8,10 |
| Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 15.8
Within-subject calculated CI
11.90
to
22.29
Estimate of Between-subject 102.2 Between-subject calculated CI 73.79 to 165.10 |
ID: 0162
Vestergaard EM, Hein HO, Meyer H, Grunnet N, Jorgensen J, Wolf H, Orntoft TF, 1999, Clin Chem, 45, 54-61 , Reference Values and Biological Variation for Tumor Marker CA 19-9 in Serum for Different Lewis and Secretor Genotypes and Evaluation of Secretor and Lewis Genotyping in a Caucasian Populatio |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 500 Number of males 382 Number of females 118 | C5,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cancer antigen 72-4 (CA 72-4) |
Estimate of Within-subject 50.3
Within-subject calculated CI
43.55
to
59.54
Estimate of Between-subject 103.4 Between-subject calculated CI 77.71 to 151.13 |
ID: 0341
Wang S, Zhao M, Mu R, Zhang X, Yun K and Shang H, 2017, J Clin Lab Anal, , , Biological variation of serum neuron-specific enolase and carbohydrate antigen 724 tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 9 Number of females 11 | B7 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 8.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C6,10,12 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 30.87
Within-subject calculated CI
27.49
to
35.19
Estimate of Between-subject 37.14 Between-subject calculated CI 29.32 to 48.57 |
ID: 0358
Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24 | C8,10 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.9
Within-subject calculated CI
5.38
to
14.12
Estimate of Between-subject 178.0 Between-subject calculated CI 122.38 to 325.04 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C8,10,12,13 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.9
Within-subject calculated CI
5.38
to
14.12
Estimate of Between-subject 178.0 Between-subject calculated CI 122.38 to 325.04 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C8,10,12,13 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.95
Within-subject calculated CI
9.70
to
12.56
Estimate of Between-subject 46.74 Between-subject calculated CI 35.66 to 67.63 |
ID: 0441
Qi Z, Zhang Lin, Chen Y, Ma X et al, 2015, Clin Chim Acta, 450, 233-6 , . Biological variations of seven tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 11 Number of females 9 | C8,10 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 9.3
Within-subject calculated CI
to
Estimate of Between-subject 86.8 Between-subject calculated CI 0.00 to |
ID: 0151
Sölétormos G, Schioler V, Nielsen D, Skovsgaard T, Domnerbowsky P, 1993, Clin Chem, 39, 2077-83 , Interpretation of results for tumor markers on the basis of analytical imprecision an biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males Number of females 22 | C8,12,13 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 9.9
Within-subject calculated CI
8.56
to
11.66
Estimate of Between-subject 35.6 Between-subject calculated CI 28.28 to 47.79 |
ID: 0201
Trapé J, Perez de Olaguer J, Buxó J and López L, 2005, Clin Chem, 51, 219-22 , Biological variation of tumor markers and its aplication in the detection of disease progression in patients with non-samll cell lung cancer |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 30 Number of males 30 Number of females | C10,12,13 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 12.6
Within-subject calculated CI
10.81
to
13.98
Estimate of Between-subject 58.3 Between-subject calculated CI 46.69 to 77.58 |
ID: 0181
Tuxen MK, Solétormos G, Pertersen PH, Cioler V, Dombernovsky P, 1999, Gynecologic Oncology, 74, 12-22 , Assessment of biological variation and analytic impreciion of CA 125, CEA and TPA in relation to monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Chloride |
Estimate of Within-subject 0.98
Within-subject calculated CI
0.93
to
1.04
Estimate of Between-subject 1.34 Between-subject calculated CI 1.16 to 1.58 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Chloride |
Estimate of Within-subject 0.99
Within-subject calculated CI
0.92
to
1.06
Estimate of Between-subject 1.35 Between-subject calculated CI 1.12 to 1.68 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Chloride |
Estimate of Within-subject 0.96
Within-subject calculated CI
0.88
to
1.05
Estimate of Between-subject 1.34 Between-subject calculated CI 1.08 to 1.75 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Chloride |
Estimate of Within-subject 0.8
Within-subject calculated CI
0.00
to
1.02
Estimate of Between-subject 1.5 Between-subject calculated CI 0.00 to 2.06 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,12 |
| Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
0.00
to
1.99
Estimate of Between-subject 1.6 Between-subject calculated CI 1.17 to 2.40 |
ID: 0007
Biosca C, Ricós C, Jiménez CV, Lauzurica R and Galimany R, 1997, Clin Chem, 43, 2206-8 , Model for establishing biological variation in non-healthy situations: renal posttranplantation data |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 19 Number of males 12 Number of females 7 | C10 |
| Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.09
to
1.58
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C8,10,13 |
| Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.18
to
1.40
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
| Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.21
to
1.40
Estimate of Between-subject 1.0 Between-subject calculated CI 0.82 to 1.24 |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | C8,10,13 |
| Chloride |
Estimate of Within-subject 13.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0269
De Marco ML, Dietzen DJ and Brown SM, 2015, Clin Biochem, 48, 443-7 , Sweating the small stuff: Adequacy and accuracy in sweat chloride determination |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 284 Number of males Number of females | C8,10,11 |
| Chloride |
Estimate of Within-subject 0.93
Within-subject calculated CI
0.65
to
1.27
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C8,10,13 |
| Chloride |
Estimate of Within-subject 2.2
Within-subject calculated CI
2.03
to
2.38
Estimate of Between-subject 1.9 Between-subject calculated CI 1.42 to 2.78 |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
| Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
0.93
to
1.30
Estimate of Between-subject 4.8 Between-subject calculated CI 3.29 to 8.78 |
ID: 0046
Fraser CG and Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10 |
| Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.06
to
1.35
Estimate of Between-subject 1.6 Between-subject calculated CI 1.24 to 2.21 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C4,10 |
| Chloride |
Estimate of Within-subject 1.21
Within-subject calculated CI
0.97
to
1.56
Estimate of Between-subject 1.28 Between-subject calculated CI 0.82 to 2.12 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
| Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.00
to
1.43
Estimate of Between-subject 1.3 Between-subject calculated CI 0.91 to 2.08 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
| Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
1.30
to
1.50
Estimate of Between-subject 1.2 Between-subject calculated CI 0.99 to 1.48 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | C8,10,13 |
| Chloride |
Estimate of Within-subject 1.16
Within-subject calculated CI
1.00
to
1.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
| Chloride |
Estimate of Within-subject 1.16
Within-subject calculated CI
1.00
to
1.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
| Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.01
to
1.46
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
| Chloride |
Estimate of Within-subject 1.15
Within-subject calculated CI
0.97
to
1.40
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
| Chloride |
Estimate of Within-subject 1.6
Within-subject calculated CI
1.50
to
1.70
Estimate of Between-subject 2.8 Between-subject calculated CI 2.64 to 2.97 |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, National Health Statistics Reports , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 823 Number of males Number of females | C10 |
| Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1882 Number of males 1882 Number of females | C5,7,10 |
| Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2901 Number of males Number of females 2901 | C5,7,10 |
| Chloride |
Estimate of Within-subject 1.8
Within-subject calculated CI
0.00
to
4.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9356 Number of males Number of females | C5,7,10,12 |
| Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
1.13
to
1.61
Estimate of Between-subject 1.7 Between-subject calculated CI 1.38 to 2.13 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8 |
| Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.04
to
1.50
Estimate of Between-subject 1.6 Between-subject calculated CI 1.32 to 1.98 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
| Chloride |
Estimate of Within-subject 0.8
Within-subject calculated CI
0.00
to
1.07
Estimate of Between-subject 1.3 Between-subject calculated CI 1.06 to 1.63 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62 | C8 |
| Chloride |
Estimate of Within-subject 0.9
Within-subject calculated CI
0.53
to
1.09
Estimate of Between-subject 1.4 Between-subject calculated CI 1.16 to 1.72 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females | C8 |
| Chloride |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.16
to
3.87
Estimate of Between-subject 4.4 Between-subject calculated CI 2.80 to 7.84 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
| Chloride |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
| Chloride |
Estimate of Within-subject 2.07
Within-subject calculated CI
1.78
to
2.46
Estimate of Between-subject 0.82 Between-subject calculated CI 0.22 to 1.81 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cholesterol level |
Estimate of Within-subject 4.09
Within-subject calculated CI
3.52
to
4.88
Estimate of Between-subject 14.6 Between-subject calculated CI 9.99 to 26.73 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cholesterol level |
Estimate of Within-subject 5.18
Within-subject calculated CI
4.92
to
5.46
Estimate of Between-subject 17.4 Between-subject calculated CI 15.16 to 20.40 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cholesterol level |
Estimate of Within-subject 6.11
Within-subject calculated CI
5.69
to
6.60
Estimate of Between-subject 13.4 Between-subject calculated CI 11.01 to 17.05 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 43 Number of males Number of females 43 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cholesterol level |
Estimate of Within-subject 5.17
Within-subject calculated CI
4.79
to
5.62
Estimate of Between-subject 17.7 Between-subject calculated CI 14.43 to 22.85 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cholesterol level |
Estimate of Within-subject 7.6
Within-subject calculated CI
6.80
to
8.59
Estimate of Between-subject 12.1 Between-subject calculated CI 8.80 to 18.92 |
ID: 0232
Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C8,12 |
| Cholesterol level |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.48
to
7.61
Estimate of Between-subject 13.0 Between-subject calculated CI 0.00 to 20.34 |
ID: 0232
Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C8,12 |
| Cholesterol level |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.26
to
2.99
Estimate of Between-subject 15.7 Between-subject calculated CI 0.00 to 21.14 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 14 Number of females 15 | C10,12 |
| Cholesterol level |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.15
to
5.61
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0008
Bookstein MS, Gidding S, Donovan M and Smith F, 1990, Arch Intern Med, 150, 1653-7 , Day-to-day variability of serum cholesterol, trigliceryde, and high-density lipoprotein cholesterol levels |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males 18 Number of females 33 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 8.2
Within-subject calculated CI
6.93
to
9.74
Estimate of Between-subject 12.55 Between-subject calculated CI 9.98 to 16.30 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 8.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
| Cholesterol level |
Estimate of Within-subject 5.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C10,12 |
| Cholesterol level |
Estimate of Within-subject 4.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
| Cholesterol level |
Estimate of Within-subject 3.1
Within-subject calculated CI
2.11
to
4.38
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 5.6
Within-subject calculated CI
4.43
to
7.29
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.66
to
6.64
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,5,8,10 |
| Cholesterol level |
Estimate of Within-subject 7.8
Within-subject calculated CI
7.00
to
8.65
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0023
Choudhury N, Lyons Wall PM and Stewart Truswell A, 1994, Clin Chem, 40, 710-5 , Effect of time between measurements on within-subject variability for total cholesterol and high-density lipoprotein cholesterol in women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males Number of females 13 | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 5.4
Within-subject calculated CI
4.43
to
6.87
Estimate of Between-subject 28.9 Between-subject calculated CI 20.40 to 49.18 |
ID: 0255
Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 3 Number of females 8 | B8 |
| Cholesterol level |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.01
to
8.38
Estimate of Between-subject 39.6 Between-subject calculated CI 29.85 to 58.66 |
ID: 0255
Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | B8 |
| Cholesterol level |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.14
to
3.27
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39 | C4,8,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.5
Within-subject calculated CI
6.24
to
6.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
| Cholesterol level |
Estimate of Within-subject 2.5
Within-subject calculated CI
1.54
to
3.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 7.7
Within-subject calculated CI
6.12
to
10.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 1.5
Within-subject calculated CI
0.00
to
3.64
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.41
to
6.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.14
to
5.62
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 7.3
Within-subject calculated CI
6.22
to
8.76
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 3.6
Within-subject calculated CI
1.80
to
6.50
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.2
Within-subject calculated CI
5.10
to
7.76
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.8
Within-subject calculated CI
5.56
to
8.61
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 5.83
Within-subject calculated CI
4.80
to
7.39
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C4,8,10,13 |
| Cholesterol level |
Estimate of Within-subject 4.9
Within-subject calculated CI
4.24
to
5.74
Estimate of Between-subject 17.3 Between-subject calculated CI 12.35 to 28.64 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 5.8
Within-subject calculated CI
5.30
to
6.40
Estimate of Between-subject 11.0 Between-subject calculated CI 8.62 to 15.07 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
| Cholesterol level |
Estimate of Within-subject 8.7
Within-subject calculated CI
8.07
to
9.35
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 583 Number of males 583 Number of females | C10,13 |
| Cholesterol level |
Estimate of Within-subject 8.8
Within-subject calculated CI
8.16
to
9.46
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 571 Number of males Number of females 571 | C10,13 |
| Cholesterol level |
Estimate of Within-subject 8.3
Within-subject calculated CI
7.62
to
9.01
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 478 Number of males 478 Number of females | C10,13 |
| Cholesterol level |
Estimate of Within-subject 7.4
Within-subject calculated CI
5.94
to
8.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 122 Number of males Number of females 122 | C10,13 |
| Cholesterol level |
Estimate of Within-subject 8.0
Within-subject calculated CI
7.33
to
8.68
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 489 Number of males Number of females 489 | C10,13 |
| Cholesterol level |
Estimate of Within-subject 8.4
Within-subject calculated CI
7.82
to
9.00
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 656 Number of males 656 Number of females | C10,13 |
| Cholesterol level |
Estimate of Within-subject 3.7
Within-subject calculated CI
1.08
to
6.22
Estimate of Between-subject 10.2 Between-subject calculated CI 6.12 to 25.47 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
| Cholesterol level |
Estimate of Within-subject 7.9
Within-subject calculated CI
5.70
to
11.78
Estimate of Between-subject 17.6 Between-subject calculated CI 0.00 to 43.97 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
| Cholesterol level |
Estimate of Within-subject 8.3
Within-subject calculated CI
5.32
to
12.85
Estimate of Between-subject 17.4 Between-subject calculated CI 10.30 to 43.69 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
| Cholesterol level |
Estimate of Within-subject 9.2
Within-subject calculated CI
6.46
to
13.87
Estimate of Between-subject 17.5 Between-subject calculated CI 10.29 to 44.05 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
| Cholesterol level |
Estimate of Within-subject 2.4
Within-subject calculated CI
0.00
to
6.42
Estimate of Between-subject 19.1 Between-subject calculated CI 11.75 to 47.18 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
| Cholesterol level |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.76
to
6.32
Estimate of Between-subject 5.0 Between-subject calculated CI 3.39 to 8.53 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C10 |
| Cholesterol level |
Estimate of Within-subject 6.3
Within-subject calculated CI
4.67
to
8.17
Estimate of Between-subject 5.0 Between-subject calculated CI 2.64 to 9.72 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C10 |
| Cholesterol level |
Estimate of Within-subject 8.7
Within-subject calculated CI
6.91
to
10.06
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0060
Godsland IF, 1985, Ann Clin Biochem, 22, 618-24 , Intra-individual variation: significant changes in parameters of lipid and carbohydrate metabolism in the individual and intra-individual variation in different test populations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.06
to
5.82
Estimate of Between-subject 19.5 Between-subject calculated CI 14.21 to 30.85 |
ID: 0403
Hammond J, Wentz P, Statland BE, Phillips JC and Winkel P, 1976, Clin Chim Acta, 73, 347-52 , Daily variation of lipids and hormones in sera of healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12 |
| Cholesterol level |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.61
to
7.35
Estimate of Between-subject 18.3 Between-subject calculated CI 13.33 to 28.96 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.98
to
6.86
Estimate of Between-subject 13.6 Between-subject calculated CI 11.40 to 16.82 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 54 Number of males 33 Number of females 21 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 7.47
Within-subject calculated CI
6.43
to
8.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,13 |
| Cholesterol level |
Estimate of Within-subject 4.37
Within-subject calculated CI
3.79
to
5.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C8,13 |
| Cholesterol level |
Estimate of Within-subject 6.98
Within-subject calculated CI
6.10
to
8.15
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,13 |
| Cholesterol level |
Estimate of Within-subject 4.69
Within-subject calculated CI
3.98
to
5.67
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
| Cholesterol level |
Estimate of Within-subject 4.79
Within-subject calculated CI
4.06
to
5.79
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
| Cholesterol level |
Estimate of Within-subject 7.17
Within-subject calculated CI
6.32
to
8.28
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C8,13 |
| Cholesterol level |
Estimate of Within-subject 4.6
Within-subject calculated CI
3.27
to
5.75
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.2
Within-subject calculated CI
3.80
to
6.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 27 Number of males 27 Number of females | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.48
to
5.55
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 128 Number of males 69 Number of females 59 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.19
to
6.25
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 42 Number of males 42 Number of females | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.9
Within-subject calculated CI
4.56
to
7.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males Number of females 28 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.1
Within-subject calculated CI
4.54
to
5.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0094
Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.63
to
5.88
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0094
Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 8.2
Within-subject calculated CI
5.45
to
10.26
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2299 Number of males Number of females | C5,7,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.4
Within-subject calculated CI
to
Estimate of Between-subject 19.1 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1931 Number of males 1931 Number of females | C4,5,6,7,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 6.3
Within-subject calculated CI
to
Estimate of Between-subject 20.3 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2901 Number of males Number of females 2901 | C4,5,6,7,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 7.5
Within-subject calculated CI
6.86
to
8.09
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1727 Number of males 691 Number of females 1036 | C4,5,6,7,10,13 |
| Cholesterol level |
Estimate of Within-subject 8.1
Within-subject calculated CI
7.66
to
8.59
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | C4,5,6,7,10,13 |
| Cholesterol level |
Estimate of Within-subject 7.0
Within-subject calculated CI
0.00
to
15.31
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6989 Number of males 2698 Number of females 4291 | C4,5,6,7,10,13 |
| Cholesterol level |
Estimate of Within-subject 6.7
Within-subject calculated CI
5.68
to
8.17
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 7.8
Within-subject calculated CI
6.38
to
9.49
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 6.7
Within-subject calculated CI
4.41
to
8.63
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 7.1
Within-subject calculated CI
4.93
to
8.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0108
Mogadam M, Ahmed S, Mensch A and Godwin I, 1990, Arch Intern Med, 150, 1645-8 , Within-person fluctuations of serum cholesterol and lipoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 3 Number of females 17 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 8.2
Within-subject calculated CI
6.02
to
9.67
Estimate of Between-subject 15.8 Between-subject calculated CI 13.07 to 19.68 |
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females 0 | B6,7 |
| Cholesterol level |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.42
to
7.70
Estimate of Between-subject 15.4 Between-subject calculated CI 11.90 to 21.70 |
ID: 0120
Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0 | C8,12,13 |
| Cholesterol level |
Estimate of Within-subject 3.6
Within-subject calculated CI
2.93
to
4.64
Estimate of Between-subject 15.1 Between-subject calculated CI 10.48 to 26.60 |
ID: 0121
Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | B9,11 |
| Cholesterol level |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.62
to
6.31
Estimate of Between-subject 15.8 Between-subject calculated CI 13.24 to 19.50 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8 |
| Cholesterol level |
Estimate of Within-subject 9.7
Within-subject calculated CI
8.72
to
10.85
Estimate of Between-subject 16.3 Between-subject calculated CI 13.64 to 20.00 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8 |
| Cholesterol level |
Estimate of Within-subject 8.9
Within-subject calculated CI
8.02
to
9.91
Estimate of Between-subject 15.2 Between-subject calculated CI 12.83 to 18.44 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
| Cholesterol level |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.28
to
6.92
Estimate of Between-subject 14.8 Between-subject calculated CI 12.47 to 18.10 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8 |
| Cholesterol level |
Estimate of Within-subject 4.4
Within-subject calculated CI
3.74
to
5.10
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0141
Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 10.6
Within-subject calculated CI
7.44
to
15.72
Estimate of Between-subject 15.6 Between-subject calculated CI 9.45 to 29.97 |
ID: 0290
Rizi EP, Baig S, Toh SA and Khoo CM, 2016, Pathology , 48, 510-2 , Biological variation of glucose, insulin and lípids in lean, insulin-sensitie and obese, insulin-resistant chinese males without diabetis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C10,13 |
| Cholesterol level |
Estimate of Within-subject 14.2
Within-subject calculated CI
10.67
to
21.03
Estimate of Between-subject 22.9 Between-subject calculated CI 14.28 to 43.63 |
ID: 0290
Rizi EP, Baig S, Toh SA and Khoo CM, 2016, Pathology , 48, 510-2 , Biological variation of glucose, insulin and lípids in lean, insulin-sensitie and obese, insulin-resistant chinese males without diabetis |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C10,13 |
| Cholesterol level |
Estimate of Within-subject 8.8
Within-subject calculated CI
7.98
to
9.81
Estimate of Between-subject 19.8 Between-subject calculated CI 15.47 to 27.29 |
ID: 0331
Sakkinen PA, Macy EM, Callas PW, Cornell ES, Hayes TE, Kuller LH and Tracy RP, 1999, Am J Epidem, 149, 261-7 , Analytical and biologic variability in measures of hemostasis, fibrinolysis and inflammation: assesment and implications for epidemiology |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 10 Number of females 16 | B7,9 |
| Cholesterol level |
Estimate of Within-subject 4.7
Within-subject calculated CI
3.80
to
5.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0148
Schectman G, Patsches M and Sasse EA, 1996, Clin Chem, 42, 732-7 , Variability in cholesterol measuraments: comparison of calculated and direct LDL cholesterol determinations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 35 Number of males 35 Number of females | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 4.8
Within-subject calculated CI
to
Estimate of Between-subject 19.5 Between-subject calculated CI 0.00 to |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 20.04 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 786 Number of males Number of females | C10 |
| Cholesterol level |
Estimate of Within-subject 6.8
Within-subject calculated CI
5.63
to
8.51
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males Number of females | C10 |
| Cholesterol level |
Estimate of Within-subject 6.22
Within-subject calculated CI
5.41
to
7.18
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0163
Warnick GR, Albers JJ, 1976, Lipids, 11, 203-8 , Physiological and analytical variation in cholesterol and triglycerides |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 4 Number of females 7 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 5.42
Within-subject calculated CI
4.47
to
6.40
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0163
Warnick GR, Albers JJ, 1976, Lipids, 11, 203-8 , Physiological and analytical variation in cholesterol and triglycerides |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 4 Number of females 7 | C8,10,11,13 |
| Cholesterol level |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.08
to
5.58
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.17
to
3.12
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 7.9
Within-subject calculated CI
0.00
to
18.87
Estimate of Between-subject 17.8 Between-subject calculated CI 14.90 to 20.31 |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477 | C8,10,13 |
| Cholesterol level |
Estimate of Within-subject 11.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
| Cholesterol level |
Estimate of Within-subject 7.1
Within-subject calculated CI
6.27
to
8.15
Estimate of Between-subject 16.0 Between-subject calculated CI 12.41 to 22.26 |
ID: 0260
Wu AHB, Ruan W, Todd J and Lynch KL, 2014, Clinica Chimica Acta, 430, 43-7 , Biological variation of β-sitosterol, campesterol, and lathosterol as cholesterol absorption and synthesis biomarkers. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 10 Number of females 15 | C8,10,12 |
| Cholesterol level |
Estimate of Within-subject 4.19
Within-subject calculated CI
3.62
to
4.96
Estimate of Between-subject 13.9 Between-subject calculated CI 9.51 to 25.46 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Chromogranin A level |
Estimate of Within-subject 16.3
Within-subject calculated CI
13.90
to
19.68
Estimate of Between-subject 33.5 Between-subject calculated CI 25.36 to 48.11 |
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | B7 |
| Chromogranin A level |
Estimate of Within-subject 16.3
Within-subject calculated CI
13.22
to
21.22
Estimate of Between-subject 34.3 Between-subject calculated CI 0.00 to 57.62 |
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 12 Number of females 0 | B7 |
| Chromogranin A level |
Estimate of Within-subject 16.0
Within-subject calculated CI
12.75
to
21.44
Estimate of Between-subject 26.1 Between-subject calculated CI 17.20 to 47.23 |
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | B7 |
| Chromogranin A level |
Estimate of Within-subject 12.8
Within-subject calculated CI
11.12
to
15.06
Estimate of Between-subject 26.3 Between-subject calculated CI 19.99 to 37.67 |
ID: 0208
Dittadi R, Meo S, Gion M, 2004, Clin Chem Lab Med, 42, 109-110 , Biological variation of plasma chromogranin A. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Complement 3 (C3) |
Estimate of Within-subject 4.8
Within-subject calculated CI
0.00
to
6.47
Estimate of Between-subject 12.1 Between-subject calculated CI 8.65 to 19.37 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Complement 3 (C3) |
Estimate of Within-subject 3.8
Within-subject calculated CI
0.00
to
6.20
Estimate of Between-subject 19.7 Between-subject calculated CI 14.31 to 31.23 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Complement 4 (C4) |
Estimate of Within-subject 5.5
Within-subject calculated CI
0.00
to
8.37
Estimate of Between-subject 28.1 Between-subject calculated CI 20.40 to 44.55 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Complement 4 (C4) |
Estimate of Within-subject 5.9
Within-subject calculated CI
0.00
to
8.18
Estimate of Between-subject 35.6 Between-subject calculated CI 25.97 to 56.28 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cortisol |
Estimate of Within-subject 32.1
Within-subject calculated CI
0.00
to
48.65
Estimate of Between-subject 38.1 Between-subject calculated CI 19.67 to 60.80 |
ID: 0432
Casals G, Foj L, Martínez de Osaba MJ, 2011, Clin Biochem, 44, 665-8 , Day-to-day variation of late-night salivary cortisol in healthy voluntaries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 7 Number of females 13 | C4,7,11,13 |
| Cortisol |
Estimate of Within-subject 30.4
Within-subject calculated CI
19.31
to
38.66
Estimate of Between-subject 35.3 Between-subject calculated CI 21.62 to 74.56 |
ID: 0432
Casals G, Foj L, Martínez de Osaba MJ, 2011, Clin Biochem, 44, 665-8 , Day-to-day variation of late-night salivary cortisol in healthy voluntaries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males 3 Number of females 4 | C4,7,11,13 |
| Cortisol |
Estimate of Within-subject 6.3
Within-subject calculated CI
3.55
to
7.83
Estimate of Between-subject 20.5 Between-subject calculated CI 16.11 to 27.92 |
ID: 0433
Chiu SK, Collier CP, Clark AF and Wynn-Edwards KE, 2003, Clin Biochem, 36, 211-14 , Salivary cortisol on ROCHE Elecsys immunoassay system: pilot biological variation studies |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 12 Number of females 16 | C7,11 |
| Cortisol |
Estimate of Within-subject 30.9
Within-subject calculated CI
23.86
to
38.69
Estimate of Between-subject 31.3 Between-subject calculated CI 20.72 to 49.49 |
ID: 0429
Dittadi R, Damiani AF and Olcese C, 2018, Clin Chem Lab Med, 55(12), e285-e287 , Evaluation of serum cortisol biological variation in the evening withdrawal |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C7 |
| Cortisol |
Estimate of Within-subject 26.6
Within-subject calculated CI
22.34
to
32.40
Estimate of Between-subject 53.1 Between-subject calculated CI 38.05 to 84.88 |
ID: 0403
Hammond J, Wentz P, Statland BE, Phillips JC and Winkel P, 1976, Clin Chim Acta, 73, 347-52 , Daily variation of lipids and hormones in sera of healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12 |
| Cortisol |
Estimate of Within-subject 124.0
Within-subject calculated CI
118.66
to
129.84
Estimate of Between-subject 36.0 Between-subject calculated CI 23.74 to 63.73 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Cortisol |
Estimate of Within-subject 61.0
Within-subject calculated CI
58.19
to
64.03
Estimate of Between-subject 21.0 Between-subject calculated CI 14.12 to 36.79 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Cortisol |
Estimate of Within-subject 59.0
Within-subject calculated CI
56.26
to
61.94
Estimate of Between-subject 26.0 Between-subject calculated CI 17.85 to 45.01 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
| Cortisol |
Estimate of Within-subject 21.7
Within-subject calculated CI
19.87
to
23.78
Estimate of Between-subject 46.2 Between-subject calculated CI 36.16 to 63.60 |
ID: 0240
Maes M, Mommen K, Hendrickx D, Peeters D, D’Hondt P, Ranjan R, De Meyer F and Scharpé S, 1997, Clin Endocrinol, 46, 587-98 , Components of biological variation, including seasonality, in blood concentrations of TSH, TT3, FT4, PRL, cortisol and testosterone in healthy volunteers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 13 Number of females 13 | C7,8,10,13 |
| Cortisol |
Estimate of Within-subject 15.2
Within-subject calculated CI
13.15
to
17.93
Estimate of Between-subject 38.1 Between-subject calculated CI 27.85 to 59.37 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Creatine Kinase |
Estimate of Within-subject 4.1
Within-subject calculated CI
0.00
to
5.87
Estimate of Between-subject 43.4 Between-subject calculated CI 34.39 to 58.76 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
| Creatine Kinase |
Estimate of Within-subject 14.5
Within-subject calculated CI
13.76
to
15.33
Estimate of Between-subject 37.9 Between-subject calculated CI 32.84 to 44.75 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 84 Number of males 35 Number of females 49 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatine Kinase |
Estimate of Within-subject 16.0
Within-subject calculated CI
14.77
to
17.45
Estimate of Between-subject 31.5 Between-subject calculated CI 25.35 to 41.33 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 35 Number of males 35 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatine Kinase |
Estimate of Within-subject 15.7
Within-subject calculated CI
14.67
to
16.88
Estimate of Between-subject 30.5 Between-subject calculated CI 25.31 to 38.20 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males Number of females 49 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatine Kinase |
Estimate of Within-subject 25.7
Within-subject calculated CI
to
Estimate of Between-subject 46.0 Between-subject calculated CI 0.00 to |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C4,8,10,12,13 |
| Creatine Kinase |
Estimate of Within-subject 12.6
Within-subject calculated CI
0.00
to
18.82
Estimate of Between-subject 11.8 Between-subject calculated CI 8.06 to 14.98 |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 811 Number of males 436 Number of females 375 | C4,5,8,10,13 |
| Creatine Kinase |
Estimate of Within-subject 29.5
Within-subject calculated CI
25.01
to
35.99
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0284
Wu AHB, Smith A and Wians F, 2009, Clin Chim Acta, 399, 109-11 , Interpretation of creatine kinase and aldolase for statin-induced myopathy: Reliance on serial testing based on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C8,10,11,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Creatinine |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.00
to
8.70
Estimate of Between-subject 28.4 Between-subject calculated CI 22.52 to 38.19 |
ID: 0216
Andersen TB, Erlandsen EJ, FrokiaerJ, Eskild-Jensen A and Brochner-Mortensen J, 2010, Scand J Clin Lab Invest, , , Comparison of within- and between-subject variation of serum cystatin C and serum creatinine in children aged 2-13 years |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 30 Number of males 19 Number of females 11 | C8,10,13 |
| Creatinine |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 23.3 Between-subject calculated CI 0.00 to 0.00 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Creatinine |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 11.0 Between-subject calculated CI 0.00 to 0.00 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Creatinine |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 15.7 Between-subject calculated CI 0.00 to 0.00 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Creatinine |
Estimate of Within-subject 4.2
Within-subject calculated CI
0.00
to
9.56
Estimate of Between-subject 4.1 Between-subject calculated CI 0.00 to 29.11 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
| Creatinine |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.02
to
7.68
Estimate of Between-subject 17.4 Between-subject calculated CI 12.01 to 30.76 |
ID: 0203
Bandaranayake N, Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2007, Clin Chem Lab Med, 45, 1237-9 , Intraindividual variation in creatinine and cystatin C |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 11.8
Within-subject calculated CI
10.87
to
12.69
Estimate of Between-subject 14.7 Between-subject calculated CI 11.08 to 21.60 |
ID: 0007
Biosca C, Ricós C, Jiménez CV, Lauzurica R and Galimany R, 1997, Clin Chem, 43, 2206-8 , Model for establishing biological variation in non-healthy situations: renal posttranplantation data |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 19 Number of males 12 Number of females 7 | C10 |
| Creatinine |
Estimate of Within-subject 8.5
Within-subject calculated CI
to
Estimate of Between-subject 24.7 Between-subject calculated CI 0.00 to |
ID: 0267
Biosca C, Ricós C, Lauzurica R and Petersen PH, 2006, Clin Chim Acta, 368, 188-191 , Biological variation at long-term renal post-transplantation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 40 Number of males 26 Number of females 14 | C10,12 |
| Creatinine |
Estimate of Within-subject 7.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
| Creatinine |
Estimate of Within-subject 3.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
| Creatinine |
Estimate of Within-subject 8.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 4 Number of females 5 | C10,12 |
| Creatinine |
Estimate of Within-subject 4.6
Within-subject calculated CI
4.31
to
4.93
Estimate of Between-subject 13.4 Between-subject calculated CI 11.23 to 16.58 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 4.7
Within-subject calculated CI
4.35
to
5.07
Estimate of Between-subject 19.0 Between-subject calculated CI 16.57 to 22.25 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 4.4
Within-subject calculated CI
4.18
to
4.64
Estimate of Between-subject 17.1 Between-subject calculated CI 14.92 to 20.02 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.89
to
4.57
Estimate of Between-subject 13.8 Between-subject calculated CI 11.25 to 17.82 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.69
to
5.36
Estimate of Between-subject 13.9 Between-subject calculated CI 11.65 to 17.20 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.57
to
4.66
Estimate of Between-subject 16.5 Between-subject calculated CI 13.45 to 21.31 |
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Creatinine |
Estimate of Within-subject 5.7
Within-subject calculated CI
5.33
to
6.13
Estimate of Between-subject 51.3 Between-subject calculated CI 44.42 to 60.71 |
ID: 0283
Carter JL, Parker CT, Stevens PE, Eaglestone G, Knight S, Farmer CT and Lamb EJ, 2016, Clin Chem, 62, 876-83 , Biological variation of plasma and unrinary markers of acute kidney injury in patients with chronic kidney disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 80 Number of males 47 Number of females 33 | B7,13 |
| Creatinine |
Estimate of Within-subject 5.4
Within-subject calculated CI
4.53
to
6.57
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C8,10,13 |
| Creatinine |
Estimate of Within-subject 5.7
Within-subject calculated CI
5.47
to
5.94
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
| Creatinine |
Estimate of Within-subject 5.0
Within-subject calculated CI
3.21
to
8.68
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 7 Number of females 6 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 5.8
Within-subject calculated CI
4.13
to
9.62
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 7 Number of females 6 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.33
to
5.64
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C8,10,13 |
| Creatinine |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.14
to
5.40
Estimate of Between-subject 9.5 Between-subject calculated CI 7.59 to 12.40 |
ID: 0037
Eckfeldt J,Chambless Ll and Shen Y, 1994, Arch Pathol Lab Med, 118, 496-500 , Short-term, within-person variability in clinical chemistry test results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females | C13 |
| Creatinine |
Estimate of Within-subject 13.4
Within-subject calculated CI
12.63
to
14.25
Estimate of Between-subject 15.3 Between-subject calculated CI 11.59 to 22.24 |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
| Creatinine |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.64
to
7.38
Estimate of Between-subject 61.5 Between-subject calculated CI 42.28 to 112.31 |
ID: 0046
Fraser CG and Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10 |
| Creatinine |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.86
to
4.81
Estimate of Between-subject 18.3 Between-subject calculated CI 14.44 to 24.95 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C4,10 |
| Creatinine |
Estimate of Within-subject 8.4
Within-subject calculated CI
6.24
to
12.35
Estimate of Between-subject 6.2 Between-subject calculated CI 1.32 to 17.50 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C10 |
| Creatinine |
Estimate of Within-subject 6.02
Within-subject calculated CI
4.91
to
7.68
Estimate of Between-subject 16.28 Between-subject calculated CI 11.83 to 25.46 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
| Creatinine |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.46
to
4.84
Estimate of Between-subject 14.1 Between-subject calculated CI 10.37 to 21.89 |
ID: 0065
Gowans EMS, Fraser CG, 1988, Ann Clin Biochem, 25, 259-63 , Biological variation of serum and urine creatinine and creatinine clearance: ramifications for interpretation of results and patient care |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 8 Number of females 7 | C10,13 |
| Creatinine |
Estimate of Within-subject 2.81
Within-subject calculated CI
2.09
to
3.57
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
| Creatinine |
Estimate of Within-subject 2.64
Within-subject calculated CI
1.75
to
3.54
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
| Creatinine |
Estimate of Within-subject 4.9
Within-subject calculated CI
4.18
to
5.80
Estimate of Between-subject 18.2 Between-subject calculated CI 13.00 to 30.13 |
ID: 0285
Keevil BG, Kilpatrick ES, Nichols SP and Maylor PW, 1998, Clin Chem, 44, 1535-9 , Biological variation of cystatin C: implications for the assesment of glomerular filtration rate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 7 Number of females 5 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 6.7
Within-subject calculated CI
6.11
to
7.25
Estimate of Between-subject 27.6 Between-subject calculated CI 26.27 to 29.06 |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, National Health Statistics Reports , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 823 Number of males Number of females | C10 |
| Creatinine |
Estimate of Within-subject 7.5
Within-subject calculated CI
to
Estimate of Between-subject 19.6 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1860 Number of males 1860 Number of females | C5,7,10 |
| Creatinine |
Estimate of Within-subject 7.6
Within-subject calculated CI
to
Estimate of Between-subject 21.4 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2856 Number of males Number of females 2856 | C5,7,10 |
| Creatinine |
Estimate of Within-subject 3.8
Within-subject calculated CI
0.00
to
10.07
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9356 Number of males Number of females | C5,7,10,12 |
| Creatinine |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.40
to
4.81
Estimate of Between-subject 14.4 Between-subject calculated CI 11.36 to 19.56 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14 | C3,4,8,10 |
| Creatinine |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.43
to
5.66
Estimate of Between-subject 19.6 Between-subject calculated CI 16.95 to 23.19 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4 | C3,4,8,10 |
| Creatinine |
Estimate of Within-subject 6.3
Within-subject calculated CI
0.00
to
49.34
Estimate of Between-subject 14.3 Between-subject calculated CI 0.00 to 96.28 |
ID: 0110
Morris HA, Wishart JM, Horowitz M, Need AG and Nordin BEC, 1990, Ann Clin Biochem, 27, 562-8 , The reproducibility of bone-related biochemical variables in post-menopausal women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 60 Number of males Number of females 60 | C10 |
| Creatinine |
Estimate of Within-subject 8.5
Within-subject calculated CI
6.87
to
9.84
Estimate of Between-subject 11.9 Between-subject calculated CI 9.69 to 14.99 |
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | B6,7 |
| Creatinine |
Estimate of Within-subject 7.1
Within-subject calculated CI
6.32
to
7.95
Estimate of Between-subject 18.2 Between-subject calculated CI 15.51 to 21.92 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
| Creatinine |
Estimate of Within-subject 4.9
Within-subject calculated CI
4.12
to
5.58
Estimate of Between-subject 12.8 Between-subject calculated CI 10.90 to 15.42 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females | C8 |
| Creatinine |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.17
to
5.72
Estimate of Between-subject 13.5 Between-subject calculated CI 11.42 to 16.43 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62 | C8 |
| Creatinine |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.18
to
7.89
Estimate of Between-subject 16.6 Between-subject calculated CI 14.02 to 20.23 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
| Creatinine |
Estimate of Within-subject 3.2
Within-subject calculated CI
2.73
to
3.83
Estimate of Between-subject 3.4 Between-subject calculated CI 2.41 to 5.10 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females | C8,10,13 |
| Creatinine |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.45
to
6.22
Estimate of Between-subject 6.4 Between-subject calculated CI 4.60 to 9.68 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males Number of females 19 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.84
to
4.86
Estimate of Between-subject 14.0 Between-subject calculated CI 11.44 to 17.98 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10,13 |
| Creatinine |
Estimate of Within-subject 4.7
Within-subject calculated CI
4.18
to
5.36
Estimate of Between-subject 14.4 Between-subject calculated CI 10.96 to 20.87 |
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 7 Number of females 13 | C7,10 |
| Creatinine |
Estimate of Within-subject 8.9
Within-subject calculated CI
7.93
to
10.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 19 Number of males 11 Number of females 8 | C7,10 |
| Creatinine |
Estimate of Within-subject 7.1
Within-subject calculated CI
0.00
to
10.66
Estimate of Between-subject 18.2 Between-subject calculated CI 13.76 to 25.72 |
ID: 0310
Rivara MB, Zelnick LR, Hoofnagle AN, Newitt R, Tracy RP, Kratz M, Weigle DS and Kestenbaum BR, 2017, Clin Chem, 63, 915-23 , Diurnal and long-term variation in plasma concentrations and renal clearances of circulating markers of kidney proximal tubular secretion |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 33 Number of males Number of females | B2,6 |
| Creatinine |
Estimate of Within-subject 7.9
Within-subject calculated CI
5.78
to
10.57
Estimate of Between-subject Between-subject calculated CI to |
ID: 0143
Rosano TG and Brown HH, 1982, Clin Chem, 28, 2330-1 , Analytical and biological variability of serum creatinine and creatinine clearance: implications for clinical interpretation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2 Number of males 2 Number of females | C8,10,11 |
| Creatinine |
Estimate of Within-subject 13.0
Within-subject calculated CI
12.03
to
14.14
Estimate of Between-subject 36.0 Between-subject calculated CI 29.31 to 46.53 |
ID: 0282
Sambasivan AS, Lepage N and Filler G, 2005, Clin Chem, 51, 2215-6 , Cystatin C intrapatient variability in children with chronic kidney disease is less than serum creatinine |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 19 Number of females 19 | C6,8,10,12,13 |
| Creatinine |
Estimate of Within-subject 7.6
Within-subject calculated CI
7.00
to
8.26
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0309
Selvin E, Juraschek SP, Eckfeldt J, Levey AS, Inker LA and Coresh J, 2013, Am J Kidney Dis, 61, 716-22 , Within-person variability in kidney measures |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 400 Number of males Number of females | C5,6,7,10 |
| Creatinine |
Estimate of Within-subject 5.4
Within-subject calculated CI
3.93
to
7.91
Estimate of Between-subject 33.2 Between-subject calculated CI 23.40 to 56.55 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
| Creatinine |
Estimate of Within-subject 7.3
Within-subject calculated CI
5.86
to
9.35
Estimate of Between-subject 39.2 Between-subject calculated CI 32.60 to 49.02 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 18 Number of females 31 | C10 |
| Creatinine |
Estimate of Within-subject 5.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males 15 Number of females 15 | C6,8,10,11,12,13 |
| Creatinine |
Estimate of Within-subject 6.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 15 Number of females | C6,8,10,11,12,13 |
| Creatinine |
Estimate of Within-subject 1.19
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0276
Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C8,10,12,13 |
| Creatinine |
Estimate of Within-subject 3.7
Within-subject calculated CI
to
Estimate of Between-subject 9.5 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
| Creatinine |
Estimate of Within-subject 4.38
Within-subject calculated CI
3.59
to
5.37
Estimate of Between-subject 7.04 Between-subject calculated CI 4.70 to 13.07 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 12.4
Within-subject calculated CI
to
Estimate of Between-subject 23.6 Between-subject calculated CI 16.82 to |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 25.6
Within-subject calculated CI
21.09
to
32.42
Estimate of Between-subject 36.3 Between-subject calculated CI 25.18 to 58.22 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 9.3
Within-subject calculated CI
6.44
to
12.76
Estimate of Between-subject 38.9 Between-subject calculated CI 28.47 to 60.57 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 24.4
Within-subject calculated CI
20.08
to
30.92
Estimate of Between-subject 59.3 Between-subject calculated CI 42.96 to 92.93 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 6.6
Within-subject calculated CI
4.57
to
10.00
Estimate of Between-subject 30.6 Between-subject calculated CI 18.93 to 75.39 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 22.6
Within-subject calculated CI
18.46
to
28.84
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females 20 | C7,8,10,12,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 19.1
Within-subject calculated CI
15.81
to
24.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females 20 | C7,8,10,12,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 18.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0454
Garnero P, Mullerman D, Munoz F et al, 2003, J Bone Min Res, 18(10), 1789-94 , Long-Term Variability of Markers of Bone Turnover in Postmenopausal Women and Implications for Their Clinical Use: The OFELY Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 268 Number of males Number of females 268 | C6,7,8,10,11,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 12.8
Within-subject calculated CI
9.14
to
15.65
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0218
Nguyen TV, Nelson AE, Howe CJ, Seibel MJ, Baxter RC, Handelsman DJ, Kazlauskas R and Ho KK, 2008, Clin Chem, 54, 1268-76 , Within-subject variability and analyticaI imprecision of Insulinlike growth factor axis and collagen markers: implications for clinical diagnosis and doping tests |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1103 Number of males 699 Number of females 404 | C8,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 6.9
Within-subject calculated CI
5.88
to
8.23
Estimate of Between-subject 28.8 Between-subject calculated CI 20.05 to 50.65 |
ID: 0156
Stevenson HP, Leslie H, Sheridan B, 1997, Ann Clin Biochem, 34, 317-8 , Intra-individual variation in serum type I procollagen carboxy-terminal propeptide and type I collagen carboxy-terminal cross-linked telopeptide concentrations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4 | C3,7,8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cystatin C |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.06
to
8.62
Estimate of Between-subject 11.1 Between-subject calculated CI 8.29 to 15.39 |
ID: 0216
Andersen TB, Erlandsen EJ, FrokiaerJ, Eskild-Jensen A and Brochner-Mortensen J, 2010, Scand J Clin Lab Invest, , , Comparison of within- and between-subject variation of serum cystatin C and serum creatinine in children aged 2-13 years |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 30 Number of males 19 Number of females 11 | C8,10,13 |
| Cystatin C |
Estimate of Within-subject 4.5
Within-subject calculated CI
3.62
to
5.75
Estimate of Between-subject 13.0 Between-subject calculated CI 8.97 to 22.99 |
ID: 0203
Bandaranayake N, Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2007, Clin Chem Lab Med, 45, 1237-9 , Intraindividual variation in creatinine and cystatin C |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | C8,10,13 |
| Cystatin C |
Estimate of Within-subject 3.9
Within-subject calculated CI
3.67
to
4.15
Estimate of Between-subject 12.0 Between-subject calculated CI 10.45 to 14.08 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological VariationData for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cystatin C |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.48
to
5.16
Estimate of Between-subject 49.9 Between-subject calculated CI 43.21 to 59.05 |
ID: 0283
Carter JL, Parker CT, Stevens PE, Eaglestone G, Knight S, Farmer CT and Lamb EJ, 2016, Clin Chem, 62, 876-83 , Biological variation of plasma and unrinary markers of acute kidney injury in patients with chronic kidney disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 80 Number of males 47 Number of females 33 | B7,13 |
| Cystatin C |
Estimate of Within-subject 4.5
Within-subject calculated CI
3.16
to
7.52
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 7 Number of females 6 | C8,10,13 |
| Cystatin C |
Estimate of Within-subject 13.3
Within-subject calculated CI
11.29
to
15.78
Estimate of Between-subject 8.1 Between-subject calculated CI 4.73 to 14.69 |
ID: 0285
Keevil BG, Kilpatrick ES, Nichols SP and Maylor PW, 1998, Clin Chem, 44, 1535-9 , Biological variation of cystatin C: implications for the assesment of glomerular filtration rate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 7 Number of females 5 | C8,10,13 |
| Cystatin C |
Estimate of Within-subject 8.6
Within-subject calculated CI
7.67
to
9.77
Estimate of Between-subject 15.1 Between-subject calculated CI 11.38 to 22.04 |
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 7 Number of females 13 | C7,10 |
| Cystatin C |
Estimate of Within-subject 16.0
Within-subject calculated CI
14.28
to
18.20
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 19 Number of males 11 Number of females 8 | C7,10 |
| Cystatin C |
Estimate of Within-subject 12.0
Within-subject calculated CI
10.27
to
13.43
Estimate of Between-subject 20.0 Between-subject calculated CI 16.13 to 26.04 |
ID: 0282
Sambasivan AS, Lepage N and Filler G, 2005, Clin Chem, 51, 2215-6 , Cystatin C intrapatient variability in children with chronic kidney disease is less than serum creatinine |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 19 Number of females 19 | C6,8,10,12,13 |
| Cystatin C |
Estimate of Within-subject 6.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0309
Selvin E, Juraschek SP, Eckfeldt J, Levey AS, Inker LA and Coresh J, 2013, Am J Kidney Dis, 61, 716-22 , Within-person variability in kidney measures |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 400 Number of males Number of females | C5,6,7,10 |
| Cystatin C |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.18
to
6.66
Estimate of Between-subject 25.6 Between-subject calculated CI 21.27 to 32.04 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 18 Number of females 31 | C10 |
| Cystatin C |
Estimate of Within-subject 5.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males 15 Number of females 15 | C6,8,10,11,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Deoxypyridinoline, free |
Estimate of Within-subject 9.8
Within-subject calculated CI
7.18
to
14.52
Estimate of Between-subject 19.7 Between-subject calculated CI 11.71 to 49.39 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
| Deoxypyridinoline, free |
Estimate of Within-subject 10.2
Within-subject calculated CI
8.23
to
13.12
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females 20 | C7,8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Deoxypyridinoline level |
Estimate of Within-subject 13.8
Within-subject calculated CI
11.26
to
16.69
Estimate of Between-subject 34.6 Between-subject calculated CI 27.27 to 46.72 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Deoxypyridinoline level |
Estimate of Within-subject 10.9
Within-subject calculated CI
8.30
to
13.61
Estimate of Between-subject 31.1 Between-subject calculated CI 24.54 to 41.96 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Deoxypyridinoline level |
Estimate of Within-subject 21.3
Within-subject calculated CI
18.37
to
24.93
Estimate of Between-subject 30.3 Between-subject calculated CI 23.35 to 41.53 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Deoxypyridinoline level |
Estimate of Within-subject 31.6
Within-subject calculated CI
27.70
to
36.55
Estimate of Between-subject 41.0 Between-subject calculated CI 31.47 to 56.33 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
| Deoxypyridinoline level |
Estimate of Within-subject 14.2
Within-subject calculated CI
10.69
to
20.72
Estimate of Between-subject 30.7 Between-subject calculated CI 18.43 to 76.67 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| DHEA sulphate level |
Estimate of Within-subject 4.6
Within-subject calculated CI
0.00
to
7.32
Estimate of Between-subject 21.0 Between-subject calculated CI 14.71 to 35.90 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 0 Number of females 11 | C7,10 |
| DHEA sulphate level |
Estimate of Within-subject 2.9
Within-subject calculated CI
0.00
to
5.71
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 0 Number of females 10 | C7,10 |
| DHEA sulphate level |
Estimate of Within-subject 7.1
Within-subject calculated CI
2.75
to
8.78
Estimate of Between-subject 21.0 Between-subject calculated CI 14.77 to 35.82 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 0 Number of females 11 | C7,10 |
| DHEA sulphate level |
Estimate of Within-subject 5.6
Within-subject calculated CI
4.34
to
7.24
Estimate of Between-subject 30.7 Between-subject calculated CI 21.04 to 56.17 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | C4,8,10 |
| DHEA sulphate level |
Estimate of Within-subject 1.2
Within-subject calculated CI
0.00
to
3.05
Estimate of Between-subject 29.3 Between-subject calculated CI 18.86 to 64.57 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C4,8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Dihydroxytestosterone (DHT) |
Estimate of Within-subject 15.9
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 325 Number of males 325 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Eosinophils |
Estimate of Within-subject 14.1
Within-subject calculated CI
11.82
to
17.01
Estimate of Between-subject 58.5 Between-subject calculated CI 45.03 to 83.08 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 12 Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Eosinophils |
Estimate of Within-subject 15.6
Within-subject calculated CI
12.97
to
19.05
Estimate of Between-subject 61.5 Between-subject calculated CI 46.50 to 90.18 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 9 Number of females 12 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Eosinophils |
Estimate of Within-subject 10.11
Within-subject calculated CI
7.81
to
12.65
Estimate of Between-subject 70.5 Between-subject calculated CI 51.02 to 113.71 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 13 Number of females 0 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Eosinophils |
Estimate of Within-subject 14.83
Within-subject calculated CI
12.52
to
17.60
Estimate of Between-subject 70.5 Between-subject calculated CI 52.75 to 105.90 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 0 Number of females 17 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Eosinophils |
Estimate of Within-subject 16.3
Within-subject calculated CI
13.92
to
18.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females | C2,7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 20.8
Within-subject calculated CI
19.84
to
21.78
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males Number of females | C2,7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 20.9
Within-subject calculated CI
19.47
to
22.51
Estimate of Between-subject 46.6 Between-subject calculated CI 35.10 to 69.07 |
ID: 0304
Hilderink JM, Kilinkenberg LJJ, Aakre KM, de Wit NCJ, Henskens YMC, van der Linden N et al, 2017, Clin Chem Lab Med, 55, 1013-24 , Within-day biological variation and hour-to-hour reference change values for hematological parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males 19 Number of females 5 | C7 |
| Eosinophils |
Estimate of Within-subject 26.9
Within-subject calculated CI
22.84
to
32.09
Estimate of Between-subject 76.4 Between-subject calculated CI 57.89 to 111.07 |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 19.9
Within-subject calculated CI
17.43
to
22.62
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 14.1
Within-subject calculated CI
10.04
to
17.23
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 23.8
Within-subject calculated CI
13.73
to
35.08
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 20 Number of females 0 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 27.5
Within-subject calculated CI
22.60
to
34.31
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males 20 Number of females 33 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 100.99 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 845 Number of males Number of females | C7,8,10,12,13 |
| Eosinophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 89.78 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 515 Number of males Number of females | C7,8,10,12,13 |
| Eosinophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 108.52 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 330 Number of males 330 Number of females 0 | C7,8,10,12,13 |
| Eosinophils |
Estimate of Within-subject 28.8
Within-subject calculated CI
19.91
to
40.60
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males Number of females | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 96.31 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 389 Number of males Number of females | C7,8,10,12,13 |
| Eosinophils |
Estimate of Within-subject 26.5
Within-subject calculated CI
19.30
to
36.14
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males Number of females | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 104.13 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 456 Number of males Number of females | C7,8,10,12,13 |
| Eosinophils |
Estimate of Within-subject 30.3
Within-subject calculated CI
23.63
to
40.30
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 33 Number of males 0 Number of females 33 | C7,8,10,13 |
| Eosinophils |
Estimate of Within-subject 11.0
Within-subject calculated CI
9.79
to
12.48
Estimate of Between-subject 29.9 Between-subject calculated CI 24.42 to 38.35 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males 21 Number of females 20 | C10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Erythrocytes |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.98
to
3.02
Estimate of Between-subject 7.1 Between-subject calculated CI 5.03 to 11.81 |
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 0 Number of females 12 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 2.3
Within-subject calculated CI
1.87
to
2.96
Estimate of Between-subject 9.5 Between-subject calculated CI 6.59 to 16.74 |
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 0 Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 1.4
Within-subject calculated CI
1.11
to
1.85
Estimate of Between-subject 7.8 Between-subject calculated CI 5.34 to 14.27 |
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females 0 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 1.8
Within-subject calculated CI
1.47
to
2.28
Estimate of Between-subject 5.9 Between-subject calculated CI 4.19 to 9.80 |
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 12 Number of females 0 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 2.77
Within-subject calculated CI
2.44
to
3.20
Estimate of Between-subject 5.58 Between-subject calculated CI 4.00 to 9.06 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 13 Number of females 0 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 2.77
Within-subject calculated CI
2.48
to
3.13
Estimate of Between-subject 6.98 Between-subject calculated CI 5.20 to 10.51 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 0 Number of females 17 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Erythrocytes |
Estimate of Within-subject 0.6
Within-subject calculated CI
0.00
to
1.86
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females | C2,7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 1.4
Within-subject calculated CI
0.00
to
2.16
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males Number of females | C2,7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 3.0
Within-subject calculated CI
2.79
to
3.24
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0034
Dot D, Miró J, Fuentes X., 1992, Arch Pathol Lab Med, 116, 825-26 , Within-Subject biological variation of hematological quantities and analytical goals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 39 Number of males 20 Number of females 19 | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 1.9
Within-subject calculated CI
1.26
to
2.48
Estimate of Between-subject 5.3 Between-subject calculated CI 3.75 to 8.82 |
ID: 0048
Fraser CG, Wilkinson SP, Neville RG, Knox JDE, Kin g JF, MacWalter RS, 1989, Am J Clin Pathol, 92, 465-70 , Biologic variation of common hematologic laboratory quantities in the elderly |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 0 Number of females 12 | C7,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.3
Within-subject calculated CI
1.72
to
2.90
Estimate of Between-subject 8.6 Between-subject calculated CI 6.13 to 14.25 |
ID: 0048
Fraser CG, Wilkinson SP, Neville RG, Knox JDE, Kin g JF, MacWalter RS, 1989, Am J Clin Pathol, 92, 465-70 , Biologic variation of common hematologic laboratory quantities in the elderly |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 12 Number of females 0 | C7,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.73
to
3.10
Estimate of Between-subject 8.1 Between-subject calculated CI 6.19 to 11.71 |
ID: 0304
Hilderink JM, Kilinkenberg LJJ, Aakre KM, de Wit NCJ, Henskens YMC, van der Linden N et al, 2017, Clin Chem Lab Med, 55, 1013-24 , Within-day biological variation and hour-to-hour reference change values for hematological parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males 19 Number of females 5 | C7 |
| Erythrocytes |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.69
to
4.36
Estimate of Between-subject 6.1 Between-subject calculated CI 4.75 to 8.43 |
ID: 0102
Maes M, Scharpé S, Cooreman W, Wauters A, Neels H, Verkerk R, De Meyer F, D ́Hondt P, Peeters D, Cosyns P, 1995, Experientia, 51, 141-49 , Components of biological, including seasonal, variation in hematological measurements and plasma fibrinogen concentrations in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 13 Number of females 13 | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.61
to
3.26
Estimate of Between-subject 6.3 Between-subject calculated CI 5.24 to 7.83 |
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females 0 | B6,7,9,11 |
| Erythrocytes |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.93
to
4.75
Estimate of Between-subject 7.0 Between-subject calculated CI 5.91 to 8.49 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females 0 | C7,8 |
| Erythrocytes |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.45
to
4.22
Estimate of Between-subject 6.3 Between-subject calculated CI 5.28 to 7.73 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males 0 Number of females 64 | C7,8 |
| Erythrocytes |
Estimate of Within-subject 3.1
Within-subject calculated CI
2.81
to
3.45
Estimate of Between-subject 5.8 Between-subject calculated CI 4.86 to 7.12 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 0 Number of females 62 | C7,8 |
| Erythrocytes |
Estimate of Within-subject 3.1
Within-subject calculated CI
2.80
to
3.47
Estimate of Between-subject 6.6 Between-subject calculated CI 0.00 to 8.17 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females 0 | C7,8 |
| Erythrocytes |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.65
to
3.20
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 36 Number of males 0 Number of females 36 | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.3
Within-subject calculated CI
1.39
to
3.17
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.8
Within-subject calculated CI
1.80
to
3.92
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males Number of females | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject 2.5
Within-subject calculated CI
1.97
to
3.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 20 Number of females 36 | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 7.13 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 549 Number of males 0 Number of females 549 | C7,8,10,12,13 |
| Erythrocytes |
Estimate of Within-subject 2.7
Within-subject calculated CI
1.21
to
4.00
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 20 Number of females 0 | C7,8,10,13 |
| Erythrocytes |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 8.84 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 500 Number of males Number of females | C7,8,10,12,13 |
| Erythrocytes |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 8.69 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 920 Number of males Number of females | C7,8,10,12,13 |
| Erythrocytes |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 6.88 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 371 Number of males 371 Number of females 0 | C7,8,10,12,13 |
| Erythrocytes |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 8.42 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 421 Number of males Number of females | C7,8,10,12,13 |
| Erythrocytes |
Estimate of Within-subject 1.8
Within-subject calculated CI
1.55
to
2.13
Estimate of Between-subject 6.4 Between-subject calculated CI 4.90 to 9.18 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females 0 | C10,13 |
| Erythrocytes |
Estimate of Within-subject 2.6
Within-subject calculated CI
2.25
to
3.08
Estimate of Between-subject 7.3 Between-subject calculated CI 5.53 to 10.61 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 0 Number of females 20 | C10,13 |
| Erythrocytes |
Estimate of Within-subject 2.2
Within-subject calculated CI
1.98
to
2.47
Estimate of Between-subject 9.3 Between-subject calculated CI 7.63 to 11.88 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males 21 Number of females 20 | C10,13 |
| Erythrocytes |
Estimate of Within-subject 3.04
Within-subject calculated CI
2.82
to
3.30
Estimate of Between-subject 10.94 Between-subject calculated CI 0.00 to 14.02 |
ID: 0316
Zhang P, Tnag H, Chen K, Chen Y and Xu D, 2013, Arch Pathol Lab Med, 137, 1106-10 , Biological variations of hematologic parameters determined by UniCel DxH 800 hematology analyzer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 19 Number of females 21 | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Estradiol |
Estimate of Within-subject 15.5
Within-subject calculated CI
10.57
to
21.10
Estimate of Between-subject 18.5 Between-subject calculated CI 12.09 to 26.63 |
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males 31 Number of females 0 | C4,7,8,10,13 |
| Estradiol |
Estimate of Within-subject 14.3
Within-subject calculated CI
9.58
to
17.95
Estimate of Between-subject 9.9 Between-subject calculated CI 5.21 to 20.88 |
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0 | C4,7,8,10,13 |
| Estradiol |
Estimate of Within-subject 27.4
Within-subject calculated CI
23.79
to
32.15
Estimate of Between-subject 41.6 Between-subject calculated CI 0.00 to 56.63 |
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males 31 Number of females 0 | C4,7,8,10,13 |
| Estradiol |
Estimate of Within-subject 12.7
Within-subject calculated CI
0.00
to
16.79
Estimate of Between-subject 15.0 Between-subject calculated CI 9.16 to 30.13 |
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0 | C4,7,8,10,13 |
| Estradiol |
Estimate of Within-subject 15.0
Within-subject calculated CI
13.26
to
16.51
Estimate of Between-subject 13.0 Between-subject calculated CI 9.94 to 18.11 |
ID: 0241
Andersson AM, Carlsen E, Petersen JH and Skakkebaek NE, 2003, J Clin Endocrinol Metab, 88, 932-937 , Variation in levels of serum Inhibin B, testosterone, estradiol, luteinizing hormone, follicle-stimulating hormone and sex hormone binding globulin in monthly samples from healthy men during a 17-month period: possible effects of seasons |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 27 Number of females | C7,8,10,11,13 |
| Estradiol |
Estimate of Within-subject 23.4
Within-subject calculated CI
19.27
to
29.60
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 46 Number of males 46 Number of females 0 | C8,10 |
| Estradiol |
Estimate of Within-subject 30.4
Within-subject calculated CI
25.19
to
38.27
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 46 Number of males 46 Number of females 0 | C8,10 |
| Estradiol |
Estimate of Within-subject 21.7
Within-subject calculated CI
17.54
to
28.32
Estimate of Between-subject 24.4 Between-subject calculated CI 14.24 to 56.12 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C4,8,10 |
| Estradiol |
Estimate of Within-subject 61.4
Within-subject calculated CI
51.66
to
75.67
Estimate of Between-subject 152.9 Between-subject calculated CI 103.76 to 281.36 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | C4,8,10 |
| Estradiol |
Estimate of Within-subject 16.5
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 325 Number of males 325 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Estradiol - free |
Estimate of Within-subject 38.5
Within-subject calculated CI
31.87
to
48.50
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 46 Number of males 46 Number of females 0 | C8,10 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Estrone |
Estimate of Within-subject 14.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 325 Number of males 325 Number of females | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Fibroblast growth factor-23 level |
Estimate of Within-subject 17.2
Within-subject calculated CI
15.58
to
19.18
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
| Fibroblast growth factor-23 level |
Estimate of Within-subject 14.2
Within-subject calculated CI
12.27
to
16.81
Estimate of Between-subject 13.4 Between-subject calculated CI 9.02 to 22.15 |
ID: 0473
Jabor A, Kubicek Z, Komrskova J, et al, 2019, Ann Clin Biochem, , , Biological variation of intact fibroblast growth factor 23 measured on a fully automated chemiluminescent platform |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 7 Number of females 7 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Fibroblast growth factor-23 level |
Estimate of Within-subject 18.3
Within-subject calculated CI
15.35
to
22.49
Estimate of Between-subject 19.2 Between-subject calculated CI 12.58 to 33.25 |
ID: 0347
Smith ER, Cai MM, McMahon LP and Holt SG, 2012, J Clin Endocrinol Metab, 97, 3357-3365 , Biological variability of plasma intact anc C-terminal FGF23 measurements |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 8 Number of females 4 | C10,12 |
| Fibroblast growth factor-23 level |
Estimate of Within-subject 8.3
Within-subject calculated CI
6.90
to
10.26
Estimate of Between-subject 28.9 Between-subject calculated CI 20.57 to 47.93 |
ID: 0347
Smith ER, Cai MM, McMahon LP and Holt SG, 2012, J Clin Endocrinol Metab, 97, 3357-3365 , Biological variability of plasma intact anc C-terminal FGF23 measurements |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 8 Number of females 4 | C10,12 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Free kappa light chain level |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.22
to
5.56
Estimate of Between-subject 15.3 Between-subject calculated CI 10.92 to 25.34 |
ID: 0042
Ford RP, Mitchell PEG, Fraser CG., 1988, Clin Chem , 34, 1733-36 , Desirable performance characteristics and clinical utility of immunoglobulin and light-chain assays derived from data on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C10 |
| Free kappa light chain level |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.57
to
6.73
Estimate of Between-subject 17.7 Between-subject calculated CI 13.94 to 24.16 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Free lambda light chain level |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.23
to
5.55
Estimate of Between-subject 17.3 Between-subject calculated CI 12.36 to 28.63 |
ID: 0042
Ford RP, Mitchell PEG, Fraser CG., 1988, Clin Chem , 34, 1733-36 , Desirable performance characteristics and clinical utility of immunoglobulin and light-chain assays derived from data on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C10 |
| Free lambda light chain level |
Estimate of Within-subject 5.4
Within-subject calculated CI
4.92
to
5.97
Estimate of Between-subject 20.6 Between-subject calculated CI 16.25 to 28.09 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C8,10,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Free tetra-iodothyronine level |
Estimate of Within-subject 4.8
Within-subject calculated CI
1.42
to
6.23
Estimate of Between-subject 11.7 Between-subject calculated CI 0.00 to 20.77 |
ID: 0209
Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2008, Ann Clin Biochem, 45, 167-9 , Intrandividual variation in serum thyroid hormones, parathyroid hormone and insulin-like growth factor-1 |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | C7,8,10,13 |
| Free tetra-iodothyronine level |
Estimate of Within-subject 5.7
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0019
Browning MC, Bennet WM, Kirkaldy AJ, Jung RT., 1988, Clin Chem, 34(4), 696-9 , Intra-individual variation of thyroxin, triiodothyronine, and thyrotropin in treated hypothyroid patients: implications for monitoring replacement therapy. |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 12 Number of males 1 Number of females 11 | C8,12 |
| Free tetra-iodothyronine level |
Estimate of Within-subject 9.5
Within-subject calculated CI
8.12
to
11.23
Estimate of Between-subject 12.1 Between-subject calculated CI 8.36 to 20.43 |
ID: 0017
Browning MC, Ford RP, Callaghan SJ, Fraser CG., 1986, Clin Chem. 32(6):962-6., 32(6), 962-6 , Intra- and interindividual biological variation of five analytes used in assessing thyroid function: implications for necessary standards of performance and the interpretation of results. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
| Free tetra-iodothyronine level |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0342
Loh TPL, Sethi SK and Metz MP, 2015, J Clin Pathol, 68, 642-7 , Paediatric reference and biological variation trends of thyrotropin (TSH) and free thyroxine (T4) in an Asian population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5905 Number of males 2598 Number of females 3307 | C10,11,12 |
| Free tetra-iodothyronine level |
Estimate of Within-subject 9.1
Within-subject calculated CI
7.87
to
10.14
Estimate of Between-subject 14.0 Between-subject calculated CI 11.76 to 17.11 |
ID: 0413
Oladipo O, Nenninger DA, Parvin Ca and Dietzen DJ, 2010, Clin Chim Acta, 411, 1143-5 , Intraindividual variability of thyroid function tests in a pediatric population |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 66 Number of males 34 Number of females 32 | C5,8,10,13 |
Details of Datasets
| Analyte | Estimates |
|---|