Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Annals of Clinical B...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Is variation in biological variation a problem?

Authors: Nigel Lawson;

Is variation in biological variation a problem?

Abstract

nent of the total variation (CVT) and can be considered in terms of intra-individual (BVI) and inter-individual (BVG) variation. For a given individual the BVI can be determined from the total variation (CVT) and the analytical variation (CVA). Since the CVA can be readily calculated for most analytes the BVI can be readily determined. BVI should re£ect ‘random’ variation; it should be independent of method and analytical variance. Non-random variations such as eiects of diet, menstrual cycle, seasonal variation, age, sex, etc, must be taken into account before the BV is determined. Preanalytical variables, such as collection tube type, sampling technique, etc, also need to be minimized to enable an accurate BVI to be determined. In this edition of the Annals of Clinical Biochemistry, Carmen RicoŁ sa nd colleagues 4 refer to their previously established database which lists BV1 and BVG for many analytes (http://www.westgard.com/biodatabase1.htm). They took care in the compilation of the data base to ensure that the BV were all determined taking into account the non-random and pre-analytical variables and employing the correct statistical analysis on the appropriate numbers of samples and subjects. In this way they have produced a database of mean BVs which can be used to help in the determination of reference ranges and the calculation of what are signi¢cant changes in an analyte, termed the Reference Change Value (RCV), a vital component when monitoring patients. The RCV for any analyte is usually determined on healthy individuals. Carmen RicoŁ sa nd colleagues 4 ask if the RCV was the same in disease as it is in health. If the RCV does change in disease, this will have a fundamental bearing on how we determine what are clinically signi¢cant changes when monitoring patients. From their literature review, we can be reassured that the majority of BVs remain the same in disease as in health. Using PSA as an example, 5 the BV has been shown to be the same in healthy men and in those with stable prostate cancer. Employing the BVI in healthy men along with average CVA for the majority of PSA assays commercially available, a change of PSA of 50% or greater can be considered clinically signi¢cant. This ¢gure is commonly used by laboratories and clinicians. However, RicoŁ s et al. do provide evidence that nine analytes have diierent BV in health and disease. These are:

Keywords

Analysis of Variance, Data Interpretation, Statistical, Humans, Prostate-Specific Antigen, Reference Standards

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
bronze
Related to Research communities
Cancer Research