All Records
| ID | Analyte | Meta Analysis Type | Median | Lower CI | Upper CI | Last Updated |
|---|---|---|---|---|---|---|
| 95 | Adiponectin | Within-subject | 18.8 | 14.6 | 25.6 | 2019-06-09 21:45:10 UTC |
| 96 | Adiponectin | Between-subject | 51.2 | 35.0 | 90.9 | 2019-06-09 21:45:11 UTC |
| 29 | Alanine transaminase (ALT) | Within-subject | 9.6 | 9.3 | 17.3 | 2019-08-20 21:14:12 UTC |
| 30 | Alanine transaminase (ALT) | Between-subject | 28.0 | 25.2 | 40.4 | 2019-08-20 21:14:13 UTC |
| 85 | Albumin | Within-subject | 2.5 | 2.5 | 3.2 | 2019-08-11 15:22:50 UTC |
| 86 | Albumin | Between-subject | 5.1 | 2.2 | 6.3 | 2019-08-11 15:22:51 UTC |
| 125 | Alkaline phosphatase (ALP), liver type | Within-subject | 5.3 | 5.0 | 6.4 | 2019-08-21 15:11:42 UTC |
| 126 | Alkaline phosphatase (ALP), liver type | Between-subject | 24.6 | 18.4 | 25.4 | 2019-08-21 15:11:43 UTC |
| 37 | Amylase | Within-subject | 6.6 | 6.3 | 6.8 | 2019-08-20 21:09:54 UTC |
| 38 | Amylase | Between-subject | 30.2 | 30.0 | 30.4 | 2019-08-20 21:09:55 UTC |
| 159 | Antimullerian hormone level | Within-subject | 19.2 | 17.3 | 21.5 | 2019-06-09 21:43:52 UTC |
| 160 | Antimullerian hormone level | Between-subject | 20.4 | 16.0 | 27.1 | 2019-06-09 21:43:53 UTC |
| 23 | Apolipoprotein A1 level | Within-subject | 5.8 | 3.6 | 10.4 | 2019-08-20 21:10:57 UTC |
| 24 | Apolipoprotein A1 level | Between-subject | 11.2 | 8.0 | 15.9 | 2019-08-20 21:10:58 UTC |
| 89 | Apolipoprotein B | Within-subject | 7.4 | 4.2 | 13.5 | 2019-08-20 21:10:55 UTC |
| 90 | Apolipoprotein B | Between-subject | 20.2 | 10.7 | 27.2 | 2019-08-20 21:10:56 UTC |
| 5 | Aspartate transaminase (AST) | Within-subject | 9.5 | 8.9 | 13.8 | 2019-08-20 21:13:23 UTC |
| 6 | Aspartate transaminase (AST) | Between-subject | 20.5 | 14.7 | 24.9 | 2019-08-20 21:13:24 UTC |
| 129 | Basophils | Within-subject | 12.0 | 8.8 | 32.0 | 2019-08-20 21:14:16 UTC |
| 130 | Basophils | Between-subject | 25.5 | 22.1 | 33.9 | 2019-08-20 21:14:16 UTC |
| 65 | Cancer antigen 19-9 (CA 19-9) | Within-subject | 22.5 | 15.8 | 27.2 | 2019-08-20 21:09:08 UTC |
| 66 | Cancer antigen 19-9 (CA 19-9) | Between-subject | 74.0 | 64.2 | 102.2 | 2019-08-20 21:09:07 UTC |
| 81 | Chloride | Within-subject | 1.1 | 0.8 | 2.1 | 2019-08-20 21:08:28 UTC |
| 82 | Chloride | Between-subject | 1.3 | 0.8 | 1.4 | 2019-08-20 21:08:28 UTC |
| 25 | Cholesterol level | Within-subject | 5.5 | 5.2 | 6.4 | 2019-08-20 21:14:00 UTC |
| 26 | Cholesterol level | Between-subject | 15.9 | 13.0 | 17.4 | 2019-08-20 21:14:01 UTC |
| 51 | Chromogranin A level | Within-subject | 14.8 | 12.8 | 16.3 | 2019-07-15 22:53:46 UTC |
| 52 | Chromogranin A level | Between-subject | 30.7 | 26.3 | 33.5 | 2019-07-15 22:53:47 UTC |
| 55 | Cortisol | Within-subject | 24.0 | 21.7 | 30.9 | 2019-08-21 20:43:21 UTC |
| 56 | Cortisol | Between-subject | 43.4 | 31.3 | 53.1 | 2019-08-21 20:43:22 UTC |
| 31 | Creatine Kinase | Within-subject | 15.4 | 14.5 | 29.5 | 2019-08-20 21:05:34 UTC |
| 32 | Creatine Kinase | Between-subject | 31.8 | 30.5 | 37.9 | 2019-08-20 21:05:35 UTC |
| 71 | Creatinine | Within-subject | 4.5 | 4.2 | 5.7 | 2019-08-25 22:08:24 UTC |
| 72 | Creatinine | Between-subject | 14.1 | 11.8 | 17.1 | 2019-08-25 22:08:25 UTC |
| 115 | Cystatin C | Within-subject | 4.0 | 3.9 | 8.6 | 2019-08-20 21:11:44 UTC |
| 116 | Cystatin C | Between-subject | 12.1 | 12.0 | 15.1 | 2019-08-20 21:11:45 UTC |
| 11 | DHEA sulphate level | Within-subject | 6.0 | 4.6 | 7.1 | 2019-08-20 20:46:14 UTC |
| 12 | DHEA sulphate level | Between-subject | 21.0 | 21.0 | 21.0 | 2019-08-20 20:46:13 UTC |
| 83 | Eosinophils | Within-subject | 13.7 | 10.1 | 15.6 | 2019-08-20 21:13:05 UTC |
| 84 | Eosinophils | Between-subject | 60.9 | 58.5 | 70.5 | 2019-08-20 21:13:06 UTC |
| 119 | Erythrocytes | Within-subject | 2.2 | 1.4 | 4.0 | 2019-08-20 21:13:08 UTC |
| 120 | Erythrocytes | Between-subject | 6.4 | 5.8 | 9.5 | 2019-08-20 21:13:09 UTC |
| 19 | Estradiol | Within-subject | 14.6 | 12.7 | 15.0 | 2019-08-20 20:51:48 UTC |
| 20 | Estradiol | Between-subject | 13.6 | 13.0 | 15.0 | 2019-08-20 20:51:49 UTC |
| 157 | Free kappa light chain level | Within-subject | 4.8 | 4.2 | 5.6 | 2019-06-09 21:44:27 UTC |
| 158 | Free kappa light chain level | Between-subject | 15.3 | 10.9 | 25.3 | 2019-06-09 21:44:28 UTC |
| 155 | Free lambda light chain level | Within-subject | 4.8 | 4.2 | 5.6 | 2019-06-09 21:44:16 UTC |
| 156 | Free lambda light chain level | Between-subject | 17.3 | 12.4 | 28.6 | 2019-06-09 21:44:17 UTC |
| 53 | Free tetra-iodothyronine level | Within-subject | 7.7 | 4.8 | 9.5 | 2019-08-20 20:50:55 UTC |
| 54 | Free tetra-iodothyronine level | Between-subject | 12.0 | 11.7 | 12.1 | 2019-08-20 20:50:56 UTC |
| 161 | Free tri-iodothyronine level | Within-subject | 6.0 | 4.7 | 7.9 | 2019-08-20 20:51:00 UTC |
| 162 | Free tri-iodothyronine level | Between-subject | 16.5 | 12.7 | 22.5 | 2019-08-20 20:51:01 UTC |
| 145 | Fructosamine level | Within-subject | 2.3 | 1.6 | 3.1 | 2019-08-20 21:13:34 UTC |
| 146 | Fructosamine level | Between-subject | 6.3 | 4.7 | 9.4 | 2019-08-20 21:13:34 UTC |
| 61 | FSH level | Within-subject | 11.6 | 8.0 | 17.3 | 2019-08-20 21:07:13 UTC |
| 62 | FSH level | Between-subject | 46.4 | 36.0 | 49.0 | 2019-08-20 21:07:13 UTC |
| 3 | g-glutamyl transferase activity | Within-subject | 8.8 | 6.4 | 14.1 | 2019-08-20 21:05:59 UTC |
| 4 | g-glutamyl transferase activity | Between-subject | 41.1 | 29.0 | 45.1 | 2019-08-20 21:06:00 UTC |
| 121 | Glucose | Within-subject | 4.8 | 4.5 | 5.6 | 2019-08-20 21:15:14 UTC |
| 122 | Glucose | Between-subject | 5.9 | 5.6 | 7.5 | 2019-08-20 21:15:17 UTC |
| 113 | Haematocrit (Hct) | Within-subject | 2.3 | 1.8 | 3.1 | 2019-08-20 21:14:19 UTC |
| 114 | Haematocrit (Hct) | Between-subject | 5.5 | 3.1 | 7.8 | 2019-08-20 21:14:20 UTC |
| 33 | Haemoglobin A1c (HbA1c) | Within-subject | 1.3 | 1.2 | 2.2 | 2019-08-20 21:08:23 UTC |
| 34 | Haemoglobin A1c (HbA1c) | Between-subject | 5.7 | 4.0 | 7.2 | 2019-08-20 21:08:24 UTC |
| 93 | Haemoglobin (Hb) | Within-subject | 2.8 | 1.6 | 3.6 | 2019-08-20 21:12:09 UTC |
| 94 | Haemoglobin (Hb) | Between-subject | 4.6 | 3.2 | 7.1 | 2019-08-20 20:56:50 UTC |
| 13 | HDL cholesterol | Within-subject | 6.4 | 5.7 | 8.4 | 2019-08-20 21:11:57 UTC |
| 14 | HDL cholesterol | Between-subject | 24.7 | 18.4 | 51.4 | 2019-08-20 21:11:58 UTC |
| 7 | Human epididymis protein 4 (HE4) | Within-subject | 9.7 | 8.4 | 11.4 | 2019-06-09 21:46:07 UTC |
| 8 | Human epididymis protein 4 (HE4) | Between-subject | 16.4 | 12.7 | 22.6 | 2019-06-09 21:46:08 UTC |
| 151 | Immunoglobulin A (IgA) | Within-subject | 5.7 | 5.0 | 6.7 | 2019-05-19 13:38:59 UTC |
| 152 | Immunoglobulin A (IgA) | Between-subject | 19.6 | 13.0 | 35.0 | 2019-07-15 23:09:02 UTC |
| 153 | Immunoglobulin G (IgG) | Within-subject | 3.5 | 3.0 | 4.4 | 2019-07-15 23:09:28 UTC |
| 154 | Immunoglobulin G (IgG) | Between-subject | 17.1 | 13.0 | 22.0 | 2019-07-15 23:09:29 UTC |
| 149 | Immunoglobulin M (IgM) | Within-subject | 5.9 | 5.1 | 6.9 | 2019-06-09 21:48:25 UTC |
| 150 | Immunoglobulin M (IgM) | Between-subject | 48.5 | 34.8 | 80.1 | 2019-06-09 21:48:26 UTC |
| 141 | Insulin level | Within-subject | 37.1 | 37.1 | 37.1 | 2019-05-19 13:38:59 UTC |
| 142 | Insulin level | Between-subject | 81.8 | 81.8 | 81.8 | 2019-05-19 13:38:59 UTC |
| 127 | Insulin-like GF-1 | Within-subject | 9.4 | 7.9 | 11.7 | 2019-06-09 21:43:08 UTC |
| 128 | Insulin-like GF-1 | Between-subject | 27.0 | 18.7 | 47.7 | 2019-06-09 21:43:08 UTC |
| 123 | Lactate dehydrogenase activity | Within-subject | 5.2 | 5.2 | 5.5 | 2019-05-19 13:38:59 UTC |
| 124 | Lactate dehydrogenase activity | Between-subject | 12.5 | 10.2 | 14.0 | 2019-08-20 21:12:21 UTC |
| 15 | LDL Cholesterol | Within-subject | 8.0 | 6.4 | 8.6 | 2019-08-20 21:12:58 UTC |
| 16 | LDL Cholesterol | Between-subject | 26.9 | 16.1 | 43.2 | 2019-08-20 21:12:59 UTC |
| 109 | Leukocytes | Within-subject | 9.6 | 8.7 | 15.7 | 2019-08-20 21:13:39 UTC |
| 110 | Leukocytes | Between-subject | 16.1 | 15.0 | 21.2 | 2019-08-20 21:13:39 UTC |
| 41 | Lipase | Within-subject | 7.7 | 6.4 | 41.1 | 2019-08-20 21:06:07 UTC |
| 42 | Lipase | Between-subject | 23.2 | 22.2 | 37.6 | 2019-08-20 21:06:08 UTC |
| 91 | Lipoprotein (a) | Within-subject | 7.6 | 5.1 | 10.6 | 2019-06-09 21:43:00 UTC |
| 92 | Lipoprotein (a) | Between-subject | 135.8 | 94.8 | 238.4 | 2019-06-09 21:43:01 UTC |
| 9 | Luteinising hormone level | Within-subject | 23.1 | 22.0 | 25.9 | 2019-08-20 21:08:01 UTC |
| 10 | Luteinising hormone level | Between-subject | 27.7 | 20.8 | 37.0 | 2019-08-20 21:08:01 UTC |
| 105 | Lymphocytes | Within-subject | 10.8 | 8.3 | 12.3 | 2019-08-20 21:12:41 UTC |
| 106 | Lymphocytes | Between-subject | 23.9 | 21.3 | 26.5 | 2019-08-20 21:12:41 UTC |
| 143 | Mean corpuscular haemoglobin concentration (MCHC) | Within-subject | 0.9 | 0.6 | 1.8 | 2019-08-20 21:13:45 UTC |
| 144 | Mean corpuscular haemoglobin concentration (MCHC) | Between-subject | 1.2 | 0.9 | 2.1 | 2019-08-20 21:13:46 UTC |
| 117 | Mean corpuscular haemoglobin (MCH) | Within-subject | 0.3 | 0.2 | 1.7 | 2019-08-20 21:13:42 UTC |
| 118 | Mean corpuscular haemoglobin (MCH) | Between-subject | 4.4 | 4.0 | 5.5 | 2019-08-20 20:54:51 UTC |
| 133 | Mean corpuscular volume (MCV) | Within-subject | 1.3 | 1.1 | 1.7 | 2019-08-20 21:02:42 UTC |
| 134 | Mean corpuscular volume (MCV) | Between-subject | 5.0 | 4.2 | 6.1 | 2019-08-20 20:54:54 UTC |
| 99 | Mean platelet volume (MPV) | Within-subject | 2.1 | 1.1 | 4.3 | 2019-08-20 20:52:29 UTC |
| 100 | Mean platelet volume (MPV) | Between-subject | 6.8 | 5.7 | 7.2 | 2019-08-20 20:52:30 UTC |
| 101 | Monocytes | Within-subject | 11.5 | 10.4 | 16.4 | 2019-08-20 21:14:31 UTC |
| 102 | Monocytes | Between-subject | 15.7 | 12.1 | 22.2 | 2019-08-20 21:14:32 UTC |
| 45 | Neuron specific enolase level | Within-subject | 10.9 | 10.1 | 23.0 | 2019-08-20 21:06:14 UTC |
| 46 | Neuron specific enolase level | Between-subject | 16.3 | 11.5 | 20.3 | 2019-08-20 21:06:13 UTC |
| 147 | Neutrophils | Within-subject | 11.2 | 6.3 | 16.9 | 2019-08-20 21:09:25 UTC |
| 148 | Neutrophils | Between-subject | 20.7 | 18.1 | 24.1 | 2019-08-20 21:09:25 UTC |
| 35 | Pancreatic Amylase | Within-subject | 6.7 | 6.3 | 9.3 | 2019-08-20 21:09:36 UTC |
| 36 | Pancreatic Amylase | Between-subject | 25.7 | 24.9 | 31.7 | 2019-08-20 21:09:36 UTC |
| 97 | Plateletcrit | Within-subject | 5.3 | 4.0 | 11.6 | 2019-08-20 20:51:29 UTC |
| 98 | Plateletcrit | Between-subject | 14.1 | 13.7 | 14.5 | 2019-08-20 20:51:29 UTC |
| 111 | Platelet distribution wide (PDW) | Within-subject | 3.6 | 2.0 | 4.2 | 2019-08-20 21:04:23 UTC |
| 139 | Platelet larger cell ratio (P-LCR) | Within-subject | 4.8 | 3.5 | 7.0 | 2019-07-15 22:54:25 UTC |
| 140 | Platelet larger cell ratio (P-LCR) | Between-subject | 19.8 | 19.0 | 20.7 | 2019-07-15 22:54:26 UTC |
| 79 | Potassium | Within-subject | 4.2 | 3.9 | 4.6 | 2019-08-20 21:12:33 UTC |
| 80 | Potassium | Between-subject | 4.2 | 4.1 | 7.7 | 2019-08-20 21:12:33 UTC |
| 67 | Prolactin level | Within-subject | 19.9 | 16.0 | 23.0 | 2019-08-20 21:12:23 UTC |
| 68 | Prolactin level | Between-subject | 27.0 | 27.0 | 27.0 | 2019-08-20 21:06:35 UTC |
| 47 | Prostate specific antigen (PSA) - free | Within-subject | 8.8 | 8.0 | 9.7 | 2019-06-09 21:45:06 UTC |
| 48 | Prostate specific antigen (PSA) - free | Between-subject | 57.7 | 0.0 | 75.6 | 2019-06-09 21:45:07 UTC |
| 77 | Protein (total) | Within-subject | 2.6 | 2.5 | 2.9 | 2019-06-09 21:48:19 UTC |
| 78 | Protein (total) | Between-subject | 4.5 | 4.2 | 5.0 | 2019-08-20 21:08:40 UTC |
| 135 | Reticulocyte haemoglobin equivalent (RET-He) | Within-subject | 0.9 | 0.4 | 3.4 | 2019-08-14 13:05:27 UTC |
| 136 | Reticulocyte haemoglobin equivalent (RET-He) | Between-subject | 2.8 | 2.1 | 7.8 | 2019-08-14 13:05:28 UTC |
| 137 | Reticulocytes | Within-subject | 8.8 | 5.4 | 11.0 | 2019-08-14 13:23:54 UTC |
| 138 | Reticulocytes | Between-subject | 25.9 | 18.9 | 35.4 | 2019-08-14 13:23:55 UTC |
| 107 | S100B | Within-subject | 10.6 | 10.2 | 18.9 | 2019-07-15 22:39:09 UTC |
| 108 | S100B | Between-subject | 32.7 | 28.5 | 38.3 | 2019-06-09 21:46:01 UTC |
| 75 | Sexual-hormone-binding-globulin (SHBG) | Within-subject | 9.7 | 4.3 | 14.0 | 2019-08-14 08:09:32 UTC |
| 76 | Sexual-hormone-binding-globulin (SHBG) | Between-subject | 35.6 | 30.0 | 94.7 | 2019-08-14 08:09:33 UTC |
| 73 | Sodium | Within-subject | 0.5 | 0.2 | 1.4 | 2019-08-25 22:11:31 UTC |
| 74 | Sodium | Between-subject | 1.2 | 0.5 | 1.4 | 2019-08-25 22:11:32 UTC |
| 57 | Testosterone level | Within-subject | 12.4 | 9.3 | 17.3 | 2019-08-20 21:07:16 UTC |
| 58 | Testosterone level | Between-subject | 19.1 | 16.5 | 83.4 | 2019-08-20 21:07:17 UTC |
| 49 | Thrombocytes | Within-subject | 6.3 | 3.3 | 10.2 | 2019-08-20 21:14:35 UTC |
| 50 | Thrombocytes | Between-subject | 17.2 | 15.4 | 27.7 | 2019-08-20 21:14:36 UTC |
| 27 | Thyroglobulin | Within-subject | 12.8 | 12.0 | 14.0 | 2019-08-20 21:06:29 UTC |
| 28 | Thyroglobulin | Between-subject | 29.2 | 25.0 | 35.0 | 2019-08-20 21:06:29 UTC |
| 17 | Total thyroxine level | Within-subject | 6.2 | 4.0 | 9.0 | 2019-08-20 20:50:52 UTC |
| 18 | Total thyroxine level | Between-subject | 12.1 | 9.0 | 15.0 | 2019-08-20 20:50:53 UTC |
| 63 | Total tri-iodothyronine level | Within-subject | 9.3 | 6.9 | 10.4 | 2019-08-20 20:51:31 UTC |
| 64 | Total tri-iodothyronine level | Between-subject | 11.6 | 4.0 | 20.4 | 2019-08-20 20:51:32 UTC |
| 21 | TPA level | Within-subject | 27.4 | 27.1 | 27.7 | 2019-08-20 21:10:01 UTC |
| 22 | TPA level | Between-subject | 62.4 | 49.8 | 83.2 | 2019-08-20 21:10:00 UTC |
| 1 | Triglycerides | Within-subject | 19.8 | 18.8 | 21.5 | 2019-08-20 21:15:21 UTC |
| 2 | Triglycerides | Between-subject | 35.7 | 23.1 | 40.3 | 2019-08-20 21:15:22 UTC |
| 43 | TSH level | Within-subject | 16.3 | 12.0 | 25.1 | 2019-08-20 21:07:06 UTC |
| 44 | TSH level | Between-subject | 29.2 | 23.0 | 36.9 | 2019-08-20 21:07:06 UTC |
| 87 | Urea | Within-subject | 13.7 | 11.2 | 14.1 | 2019-08-20 21:13:32 UTC |
| 88 | Urea | Between-subject | 20.0 | 1.1 | 22.5 | 2019-08-20 21:13:33 UTC |
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European Federation of Clinical Chemistry and Laboratory Medicine
Ms Silvia Cattaneo
Via Carlo Farini 81
20159 Milano - Italy
biologicalvariationdatabase@eflm.eu
European Federation of Clinical Chemistry and Laboratory Medicine
Ms Silvia Cattaneo
Via Carlo Farini 81
20159 Milano - Italy
biologicalvariationdatabase@eflm.eu