Systematic review and meta-analysis of within-subject and between-subject biological variation estimates of 20 haematological parameters

Abdurrahman Coskun, Federica Braga, Anna Carobene, Xavier Tejedor Ganduxe, Aasne K. Aarsand, Pilar Fernández-Calle, Jorge Díaz-Garzón Marco, William Bartlett, Niels Jonker, Berna Aslan, Joana Minchinela, Beatriz Boned, Elisabet Gonzalez-Lao, Fernando Marques-Garcia, Carmen Perich, Carmen Ricos, Margarita Simón, Sverre Sandberg

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Abstract

Interpretation of the complete blood count (CBC) parameters requires reliable biological variation (BV) data. The aims of this study were to appraise the quality of publications reporting BV data for CBC parameters by applying the BV Data Critical Appraisal Checklist (BIVAC) and to deliver global BV estimates based on BIVAC compliant studies. Relevant publications were identified by a systematic literature search and evaluated for their compliance with the 14 BIVAC criteria, scored as A, B, C or D, indicating decreasing compliance. Global CVI and CVG estimates with 95% CI were delivered by a meta-analysis approach using data from BIVAC compliant papers (grades A-C). In total, 32 studies were identified; four received a BIVAC grade A, 2 B, 20 C and 6 D. Meta-analysis derived CVI and CVG estimates were generally lower or in line with those published in a historical BV database available online. Except for reticulocytes, CVI estimates of erythrocyte related parameters were below 3%, whereas platelet (except MPV and PDW) and leukocyte related parameters ranged from 5% to 15%. A systematic review of CBC parameters has provided updated, global estimates of CVI and CVG that will be included in the newly published European Federation of Clinical Chemistry and Laboratory Medicine BV Database.

Original languageEnglish
Number of pages8
JournalClinical Chemistry and Laboratory Medicine
Early online date10 Sep 2019
DOIs
Publication statusE-pub ahead of print - 10 Sep 2019

Keywords

  • biological variation
  • erythrocyte
  • haemoglobin
  • leukocyte
  • meta-analysis
  • platelets

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