Data Heterogeneity in Meta-Analyses: Statistical Methods, Interpretation, and Guidance.
Journal
Clinical spine surgery
ISSN: 2380-0194
Titre abrégé: Clin Spine Surg
Pays: United States
ID NLM: 101675083
Informations de publication
Date de publication:
01 Aug 2023
01 Aug 2023
Historique:
received:
11
07
2022
accepted:
09
05
2023
medline:
10
6
2023
pubmed:
10
6
2023
entrez:
9
6
2023
Statut:
ppublish
Résumé
Data heterogeneity determines whether sufficiently strong conclusions can be derived from synthesizing and aggregating the available literature. Multiple tools are available to calculate data heterogeneity, but each tool has pros and cons. Providing a prediction interval may be the most beneficial since it allows readers to quantify heterogeneity in a clear and clinically relevant form. However, the ultimate decision on which tool to use is left to the discretion of the researcher. This decision should be decided upon during the study inception.
Identifiants
pubmed: 37296492
doi: 10.1097/BSD.0000000000001464
pii: 01933606-990000000-00150
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-288Informations de copyright
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
Références
Deeks JJ, Higgins JPT, Altman DG Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA. Chapter 10: Analyzing data and undertaking meta-analyses. Cochrane Handbook for Systematic Reviews of Interventions. Chichester, West Sussex, England: Cochrane; 2022. Accessed July 8th, 2022 www.training.cochrane.org/handbook
Higgins JPT, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–560.
Hardy RJ, Thompson SG. Detecting and describing heterogeneity in meta-analysis. Stat Med. 1998;17:841–856.
Davey J, Turner RM, Clarke MJ, et al. Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis. BMC Med Res Methodol. 2011;11:160.
Thompson SG, Higgins JPT. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002;21:1559–1573.
IntHout J, Ioannidis JPA, Rovers MM, et al. Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open. 2016;6:e010247.