-
Cancers Jan 2023We read with interest this review by Ramai et al. [...].
We read with interest this review by Ramai et al. [...].
PubMed: 36765753
DOI: 10.3390/cancers15030795 -
Clinica Chimica Acta; International... Aug 2019Biological variation (BV) data can be used to set analytical performance specifications (APS) for lipid assays. Poor performance will impact upon the efficacy of...
Biological variation data for lipid cardiovascular risk assessment biomarkers. A systematic review applying the biological variation data critical appraisal checklist (BIVAC).
BACKGROUND
Biological variation (BV) data can be used to set analytical performance specifications (APS) for lipid assays. Poor performance will impact upon the efficacy of international guidelines for cardiovascular risk assessment (CVR) and relevant clinical decision limits. This systematic review applies the Biological Variation Data Critical Appraisal Checklist (BIVAC) to published studies of BV of CVR biomarkers enabling metanalysis of the data.
METHODS
Studies of BV of total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides and apolipoproteins A and B, retrieved using a systematic literature search, were evaluated and graded using the BIVAC. Meta-analysis of CV and CV estimates were performed utilizing weightings based upon BIVAC grades and the width of the data confidence intervals.
RESULTS
Applying the BIVAC, ten publications were graded as D, 43 as C, 5 as B and 1 as A (fully compliant). A total of 196 CV and 87 CV estimates were available for the different lipid measurands. The meta-analysis-derived BV data estimates were generally concordant with those in the online 2014 BV database.
CONCLUSIONS
Application of BIVAC identifies BV data suitable for many important applications including setting APS. Additionally, this review identifies a need for new BIVAC compliant studies to deliver BV reference data in different subpopulations.
Topics: Biomarkers; Cardiovascular Diseases; Checklist; Humans; Lipids; Risk Assessment
PubMed: 31103621
DOI: 10.1016/j.cca.2019.05.013