Systematic review and meta-analysis of within-subject and between-subject biological variation data of coagulation and fibrinolytic measurands.
analytical performance specifications
biological variation
haemostasis measurands
meta-analysis
Journal
Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306
Informations de publication
Date de publication:
26 07 2023
26 07 2023
Historique:
received:
25
11
2022
accepted:
10
02
2023
medline:
3
7
2023
pubmed:
23
2
2023
entrez:
22
2
2023
Statut:
epublish
Résumé
The diagnosis and monitoring of bleeding and thrombotic disorders depend on correct haemostatic measurements. The availability of high-quality biological variation (BV) data is important in this context. Many studies have reported BV data for these measurands, but results are varied. The present study aims to deliver global within-subject (CV Relevant BV studies were graded by the BIVAC. Weighted estimates for CV In 26 studies BV data were reported for 35 haemostasis measurands. For 9 measurands, only one eligible publication was identified and meta-analysis could not be performed. 74% of the publications were graded as BIVAC C. The CV This study provides updated BV estimates of CV
Identifiants
pubmed: 36810291
pii: cclm-2022-1207
doi: 10.1515/cclm-2022-1207
doi:
Types de publication
Meta-Analysis
Systematic Review
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1470-1480Informations de copyright
© 2023 the author(s), published by De Gruyter, Berlin/Boston.
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