Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| 17-a-hydroxyprogesterone |
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 |
|---|---|---|---|---|
| 25-hydroxy vitamin D3 |
Estimate of Within-subject 11.3
Within-subject calculated CI
9.82
to
12.59
Estimate of Between-subject 37.9 Between-subject calculated CI 35.44 to 40.69 |
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 460 Number of males Number of females | C10 |
| 25-hydroxy vitamin D3 |
Estimate of Within-subject 6.9
Within-subject calculated CI
4.95
to
8.30
Estimate of Between-subject 31.4 Between-subject calculated CI 28.18 to 35.40 |
ID: 0427
Lutsey P, Parrinello CM, Misialek JR et al, 2016, Clin Chem, 12, 1647-53 , Short-term variability of vitamin D-related biomarkers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 160 Number of males 64 Number of females 96 | C5,7,8,10,11,13 |
| 25-hydroxy vitamin D3 |
Estimate of Within-subject 12.1
Within-subject calculated CI
10.18
to
14.63
Estimate of Between-subject 40.3 Between-subject calculated CI 30.60 to 58.51 |
ID: 0249
Viljoen A, Singh DK, Farrington K and Twomey PJ, 2011, J Clin Lab Anal, 25, 130-3 , Analytical quality goals for 25-vitamin D based on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| a-1 antitrypsin |
Estimate of Within-subject 5.0
Within-subject calculated CI
2.94
to
6.51
Estimate of Between-subject 13.0 Between-subject calculated CI 9.34 to 20.75 |
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 |
| a-1 antitrypsin |
Estimate of Within-subject 3.6
Within-subject calculated CI
3.31
to
3.93
Estimate of Between-subject 8.1 Between-subject calculated CI 6.56 to 10.53 |
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 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| a-1 antitrypsin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.60
to
4.02
Estimate of Between-subject 10.1 Between-subject calculated CI 8.77 to 11.90 |
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 |
| a-1 antitrypsin |
Estimate of Within-subject 4.03
Within-subject calculated CI
3.76
to
4.34
Estimate of Between-subject 10.6 Between-subject calculated CI 8.84 to 13.21 |
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 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| a-1 antitrypsin |
Estimate of Within-subject 13.5
Within-subject calculated CI
12.19
to
15.12
Estimate of Between-subject 18.3 Between-subject calculated CI 13.63 to 27.11 |
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 |
| a-1 antitrypsin |
Estimate of Within-subject 4.8
Within-subject calculated CI
3.90
to
5.99
Estimate of Between-subject Between-subject calculated CI to |
ID: 0264
Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C7,10 |
| 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 |
|---|---|---|---|---|
| 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 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 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 9.6
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 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 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 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 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 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 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 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
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 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 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 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 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 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 2.1
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 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 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 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 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 3.2
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 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 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 3.2
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 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 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 4.3
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 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 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 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 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 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 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 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 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 3.4
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
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 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 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 5.7
Within-subject calculated CI
3.99
to
9.08
Estimate of Between-subject 42.8 Between-subject calculated CI 26.62 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 |
| 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 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 |
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 5.3
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 5.4
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 5.8
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 6.4
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 6.0
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 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 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 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 |
| 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 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Alphafetoprotein |
Estimate of Within-subject 26.67
Within-subject calculated CI
23.81
to
30.30
Estimate of Between-subject 43.65 Between-subject calculated CI 35.39 to 55.92 |
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 |
| Alphafetoprotein |
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 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 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 6.8
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 |
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 |
| Androstenedione |
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 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Antimullerian hormone |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 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 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 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 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
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 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 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 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 |
| 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 |
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 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 10.3
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 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 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 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 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 18.3
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 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 18.4
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 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 |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.89
to
4.55
Estimate of Between-subject 12.1 Between-subject calculated CI 10.12 to 15.01 |
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 53 Number of males 53 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| b-2 microglobulin |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.77
to
4.25
Estimate of Between-subject 11.2 Between-subject calculated CI 9.75 to 13.14 |
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 |
| b-2 microglobulin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.47
to
4.18
Estimate of Between-subject 9.4 Between-subject calculated CI 7.62 to 12.21 |
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 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| b-2 microglobulin |
Estimate of Within-subject 5.9
Within-subject calculated CI
5.23
to
6.70
Estimate of Between-subject 15.5 Between-subject calculated CI 11.71 to 22.74 |
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 |
| b-2 microglobulin |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.19
to
3.74
Estimate of Between-subject Between-subject calculated CI to |
ID: 0264
Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C7,10 |
| b-2 microglobulin |
Estimate of Within-subject 8.4
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 |
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 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 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
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 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 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 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
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 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 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 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 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 |
|---|---|---|---|---|
| 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 |
| Cancer antigen 125 (CA-125) |
Estimate of Within-subject 21.1
Within-subject calculated CI
18.41
to
24.73
Estimate of Between-subject 36.3 Between-subject calculated CI 28.26 to 49.41 |
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 |
| Cancer antigen 125 (CA-125) |
Estimate of Within-subject 23.3
Within-subject calculated CI
21.62
to
25.10
Estimate of Between-subject 70.6 Between-subject calculated CI 56.48 to 94.01 |
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 |
| Cancer antigen 125 (CA-125) |
Estimate of Within-subject 20.0
Within-subject calculated CI
18.69
to
21.48
Estimate of Between-subject Between-subject calculated CI to |
ID: 0375
Tuxen MK, Sölétormos G, Petersen PH and Dombernowsky P, 2001, Clin Chem Lab Med, 39, 531-8 , Interpretation of sequential measurements of cancer Antigen 125 (CA 125), Carcinoembryonic Antigen (CEA) and Tissue Polypeptide Antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,13 |
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 16.06
Within-subject calculated CI
13.14
to
20.53
Estimate of Between-subject 95.95 Between-subject calculated CI 63.27 to 195.59 |
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 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
4.27
to
11.41
Estimate of Between-subject 86.8 Between-subject calculated CI 67.09 to 122.90 |
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 |
| Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 17.3
Within-subject calculated CI
16.13
to
18.62
Estimate of Between-subject Between-subject calculated CI to |
ID: 0375
Tuxen MK, Sölétormos G, Petersen PH and Dombernowsky P, 2001, Clin Chem Lab Med, 39, 531-8 , Interpretation of sequential measurements of cancer Antigen 125 (CA 125), Carcinoembryonic Antigen (CEA) and Tissue Polypeptide Antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,13 |
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 0.96
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 0.99
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 0.8
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 1.2
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 1.16
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 1.6
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 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 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 0.9
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 4.5
Within-subject calculated CI
4.13
to
4.93
Estimate of Between-subject 14.7 Between-subject calculated CI 11.92 to 19.14 |
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 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Complement 3 (C3) |
Estimate of Within-subject 4.6
Within-subject calculated CI
4.35
to
4.87
Estimate of Between-subject 15.2 Between-subject calculated CI 13.21 to 17.89 |
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 |
| Complement 3 (C3) |
Estimate of Within-subject 4.7
Within-subject calculated CI
4.37
to
5.07
Estimate of Between-subject 14.8 Between-subject calculated CI 12.35 to 18.44 |
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 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| 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 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 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 |
|---|---|---|---|---|
| C-reactive protein (CRP) |
Estimate of Within-subject 19.3
Within-subject calculated CI
15.68
to
24.66
Estimate of Between-subject 125.4 Between-subject calculated CI 91.56 to 198.12 |
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 |
| C-reactive protein (CRP) |
Estimate of Within-subject 28.7
Within-subject calculated CI
26.28
to
31.54
Estimate of Between-subject 96.9 Between-subject calculated CI 78.77 to 125.65 |
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 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| C-reactive protein (CRP) |
Estimate of Within-subject 29.9
Within-subject calculated CI
27.73
to
32.40
Estimate of Between-subject 80.7 Between-subject calculated CI 67.26 to 100.63 |
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 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| C-reactive protein (CRP) |
Estimate of Within-subject 29.4
Within-subject calculated CI
27.74
to
31.24
Estimate of Between-subject 87.0 Between-subject calculated CI 75.54 to 102.47 |
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 |
| C-reactive protein (CRP) |
Estimate of Within-subject 36.8
Within-subject calculated CI
32.31
to
42.75
Estimate of Between-subject 62.2 Between-subject calculated CI 43.27 to 106.80 |
ID: 0197
Cho LW, Jayagopal V, Kilpatrick ES and Atkin SL, 2005, Clin Chem, 51, 1905-7 , The biological variation of C-reactive protein in polycystic ovarian syndrome |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C7,8,10,13 |
| C-reactive protein (CRP) |
Estimate of Within-subject 63.0
Within-subject calculated CI
56.96
to
70.48
Estimate of Between-subject 76.3 Between-subject calculated CI 56.52 to 113.43 |
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 |
| C-reactive protein (CRP) |
Estimate of Within-subject 10.6
Within-subject calculated CI
7.02
to
14.86
Estimate of Between-subject Between-subject calculated CI to |
ID: 0264
Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C7,10 |
| C-reactive protein (CRP) |
Estimate of Within-subject 42.2
Within-subject calculated CI
38.22
to
47.10
Estimate of Between-subject 92.5 Between-subject calculated CI 72.24 to 127.54 |
ID: 0100
Macy EM, Hayes TE, Tracy RP, 1997, Clin Chem, 43, 52-8 , Variability in the measuraments of C-reactive protein in healthy subjets: implications for reference intervals and epidemiological applications |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 10 Number of females 16 | C5,10 |
| C-reactive protein (CRP) |
Estimate of Within-subject 74.4
Within-subject calculated CI
66.67
to
84.17
Estimate of Between-subject 71.3 Between-subject calculated CI 55.40 to 93.37 |
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 | C7 |
| C-reactive protein (CRP) |
Estimate of Within-subject 77.7
Within-subject calculated CI
73.07
to
82.95
Estimate of Between-subject 107.6 Between-subject calculated CI 87.47 to 138.74 |
ID: 0330
Rudez G, Meiher P, Spronk HMH, Leebeek FWG, Cate HT, Kluft C and de Maat MPM, 2009, J Thromb Hemost, 7, 1247-55 , Biological variation in inflammatory and hemostatic markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 14 Number of females 26 | C7,8,10 |
| C-reactive protein (CRP) |
Estimate of Within-subject 49.8
Within-subject calculated CI
45.14
to
55.53
Estimate of Between-subject 94.0 Between-subject calculated CI 73.20 to 129.87 |
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 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| C-reactive protein (CRP) - high-sensitive |
Estimate of Within-subject 58.9
Within-subject calculated CI
53.15
to
66.05
Estimate of Between-subject 77.4 Between-subject calculated CI 55.98 to 121.46 |
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 | C8,10 |
| C-reactive protein (CRP) - high-sensitive |
Estimate of Within-subject 26.87
Within-subject calculated CI
23.34
to
31.66
Estimate of Between-subject 37.91 Between-subject calculated CI 28.07 to 55.54 |
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 | C7,8,10,13 |
| C-reactive protein (CRP) - high-sensitive |
Estimate of Within-subject 54.9
Within-subject calculated CI
45.93
to
68.26
Estimate of Between-subject Between-subject calculated CI 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 50 Number of males Number of females | C10 |
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 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 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 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 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
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 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 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 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 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 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 2.64
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 18.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0414
Takahashi M, Kawana K and Nagano A, 2002, Endocrin Res, 28(3), 257-64 , Biological variability of biochemical markers of bone turnover in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C5,7,8,10,11,12,13 |
| C-terminal cross-linked telopeptide of type I collagen (CTX) |
Estimate of Within-subject 11.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0414
Takahashi M, Kawana K and Nagano A, 2002, Endocrin Res, 28(3), 257-64 , Biological variability of biochemical markers of bone turnover in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C5,7,8,10,11,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Cyfra21-1 |
Estimate of Within-subject 22.5
Within-subject calculated CI
19.63
to
26.37
Estimate of Between-subject 38.1 Between-subject calculated CI 29.64 to 51.89 |
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 |
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 4.0
Within-subject calculated CI
3.64
to
4.41
Estimate of Between-subject 9.1 Between-subject calculated CI 7.39 to 11.79 |
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 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| Cystatin C |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.50
to
4.13
Estimate of Between-subject 12.8 Between-subject calculated CI 10.72 to 15.87 |
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 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
| 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 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 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 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 |
|---|---|---|---|---|
| Dehydroepiandrosterone sulphate (DHEAS) |
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 |
| Dehydroepiandrosterone sulphate (DHEAS) |
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 |
| Dehydroepiandrosterone sulphate (DHEAS) |
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 |
| Dehydroepiandrosterone sulphate (DHEAS) |
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 |
| Dehydroepiandrosterone sulphate (DHEAS) |
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 |
|---|---|---|---|---|
| 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 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 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 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 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 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 |
|---|---|---|---|---|
| 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 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 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 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 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 20.9
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 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 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 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 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 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
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
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 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 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 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
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 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 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 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 1.8
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
2.48
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 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 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 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 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 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 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 2.9
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 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 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
2.80
to
3.47
Estimate of Between-subject 6.6 Between-subject calculated CI 5.51 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
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
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 2.8
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
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 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 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 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 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 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 2.2
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 8.96 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 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 15.5
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 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 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 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 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 |
|---|---|---|---|---|
| Ferritin |
Estimate of Within-subject 9.7
Within-subject calculated CI
7.28
to
13.45
Estimate of Between-subject Between-subject calculated CI to |
ID: 0001
Ahluwalia N, Lamni-Keefe CL,Haley NR, Beard JL, 1993, Am J Clin Nutr, 57, 414-19 , Day-to-day variation in iron-status indexes in elderly women. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 0 Number of females 10 | C7,8,10,13 |
| Ferritin |
Estimate of Within-subject 25.8
Within-subject calculated CI
23.84
to
28.10
Estimate of Between-subject Between-subject calculated CI to |
ID: 0009
Borel MJ, Smith SM, Derr J, Beard JL., 1991, Am J Clin Nutr, 54, 729-35 , Day-to-day variation in iron-status indices in healthy men and women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 0 Number of females 10 | C7,10,13 |
| Ferritin |
Estimate of Within-subject 13.9
Within-subject calculated CI
12.80
to
15.19
Estimate of Between-subject Between-subject calculated CI to |
ID: 0009
Borel MJ, Smith SM, Derr J, Beard JL., 1991, Am J Clin Nutr, 54, 729-35 , Day-to-day variation in iron-status indices in healthy men and women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C7,10,13 |
| Ferritin |
Estimate of Within-subject 12.7
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 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 | C8,10,12,13 |
| Ferritin |
Estimate of Within-subject 12.8
Within-subject calculated CI
11.60
to
13.80
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 |
| Ferritin |
Estimate of Within-subject 10.65
Within-subject calculated CI
to
Estimate of Between-subject 16.46 Between-subject calculated CI to |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
| Ferritin |
Estimate of Within-subject 20.8
Within-subject calculated CI
19.79
to
21.91
Estimate of Between-subject 89.8 Between-subject calculated CI 85.54 to 94.48 |
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 |
| Ferritin |
Estimate of Within-subject 21.8
Within-subject calculated CI
20.76
to
22.95
Estimate of Between-subject Between-subject calculated CI to |
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 796 Number of males Number of females | C10 |
| Ferritin |
Estimate of Within-subject 19.9
Within-subject calculated CI
15.29
to
28.78
Estimate of Between-subject Between-subject calculated CI to |
ID: 0325
Lammi-Keefe C, Lickteig ES, Ahluwalia N and Haley R, 1996, J Am Diet Assoc, 96, 247-51 , Day-to-day variation in iron satatus indexes is similar for most measures in eldery women with and without rheumatoid arthritis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 0 Number of females 10 | C6,7,8,10,13 |
| Ferritin |
Estimate of Within-subject 14.5
Within-subject calculated CI
13.06
to
16.27
Estimate of Between-subject Between-subject calculated CI to |
ID: 0131
Pilon VA, Howanitz PJ, Howanitz JH and Domres N, 1991, Clin Chem, 27, 78-82 , Day-to-day variation in serum ferritin concentration in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 5 Number of females 8 | C5,8,10,11,12,13 |
| Ferritin |
Estimate of Within-subject 18.1
Within-subject calculated CI
15.08
to
22.61
Estimate of Between-subject 96.53 Between-subject calculated CI 80.32 to 120.67 |
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 |
| Ferritin |
Estimate of Within-subject 10.0
Within-subject calculated CI
8.15
to
12.67
Estimate of Between-subject 55.0 Between-subject calculated CI 42.97 to 76.14 |
ID: 0200
Van Hoydonck GA, Schouten EG and Temme EHM, 2003, Clin Chem, 49, 963-5 , Reproducibility of blood markers of oxidative status and endothelial function in healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 12 Number of females 13 | C7,8,10,12,13 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Fibroblast growth factor-23 |
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 |
Details of Datasets
| Analyte | Estimates | Reference | Study Group | Score |
|---|---|---|---|---|
| Follicle stimulating hormone (FSH) | Estimate of Within-subject 7.7 Within-subject calculated CI 6.04 to |