Systematic review of the biological variation data for diabetes related analytes

Gonzalez-Lao E., Corte Z., Simon M., Ricos C., Coskun A. , Braga F., ...Daha Fazla

CLINICA CHIMICA ACTA, cilt.488, ss.61-67, 2019 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 488
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.cca.2018.10.031
  • Sayfa Sayıları: ss.61-67


Background: Objective interpretation of laboratory test results used to diagnose and monitor diabetes mellitus in part requires the application of biological variation data (BVD). The quality of published BVD has been questioned. The aim of this study was to quality assess publications reporting BVD for diabetes-related analytes using the Biological Variation Data Critical Appraisal Checklist (BIVAC); to assess whether published BVD are fit for purpose and whether the study design and population attributes influence BVD estimates and to undertake a meta-analysis of the BVD from BIVAC-assessed publications.