Cholesterol level

Included in meta analysis

Reference

Reference
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

Scoring

Total Score

C10,12

Parameter Score
1. Scale A
2. Study Population A
3. Samples A
4. Measurand A
5. Pre-Analytical A
6. Replicate Analysis A
7. Steady State A
8. Outlier Analysis B
9. Normality B
10. Variance Homogeneity C
11. ANOVA A
12. CI C
13. No of Results B
14. Concentrations A
15. Total Score C10,12
Comment

Item Details

Parameter Score
Matrix Serum
Measurand Cholesterol level
Unit mmol / L
Overall Analytical Principle Method Enzymatic analysis - Not specified
Number of Subjects 9
Number of Subjects included in BV estimation 9
Ethinicity Caucasian
Age Mean / Median
Age Min 44.0
Age Max 57.0
Age SD
Number of Males 5
Number of Females 4
State of Well Being Healthy (excl pregnant)
Study Duration Length 1
Study Duration Units Month
Sampling Intervals, e.g. X sample(s) per Interval Unit 1
Interval Units Week
Sampling Times Start Time:
End Time:
Number of Samples 4
Average Number of Samples Used for BV Estimation 4.0
Average Number of Replicates 2.0
Estimates of CVi 5.2
Calculated Confidence Intervals of CVi Lower: , Upper:
Estimates of CVg
Calculated Confidence Intervals of CVg Lower: 0.00, Upper:
Analytical CV
Calculated Confidence Intervals of Analytical CV Lower: , Upper:
Measurand Mean 5.28
Measurand Min
Measurand Max
Measurand SD

Coding

© 2018 - 2019 This website and its content is copyright of EFLM. All rights reserved. Any redistribution or reproduction of part or all of the contents in any form is prohibited other than the following: you may print or download to a local hard disk extracts for your personal and non-commercial use only you may copy the content to individual third parties for their personal use, but only if you acknowledge the website as the source of the material You may not, except with our express written permission, distribute or commercially exploit the content. Nor may you transmit it or store it in any other website or other form of electronic retrieval system.
European Federation of Clinical Chemistry and Laboratory Medicine
Ms Silvia Cattaneo
Via Carlo Farini 81
20159 Milano - Italy
biologicalvariationdatabase@eflm.eu