The conduct and reporting of mediation analysis in recently published randomized controlled trials: results from a methodological systematic review.

Counterfactual-based mediation approaches Mediation analysis Randomized controlled trial Reporting Systematic review Traditional mediation approaches

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
01 2020
Historique:
received: 18 04 2019
revised: 12 09 2019
accepted: 01 10 2019
pubmed: 9 10 2019
medline: 7 8 2020
entrez: 9 10 2019
Statut: ppublish

Résumé

To describe the methodological characteristics of mediation analyses (MAs) reported in recent randomized controlled trials (RCTs) and to propose recommendations on the planning, conduct, and reporting of MAs in practice. We conducted a systematic review by searching MEDLINE (January 1, 2017, to December 1, 2018) for all reports of RCTs or secondary analyses of previously published RCTs that reported a MA. Two reviewers independently screened the title, abstracts, and full texts of the identified reports and extracted the data from the 98 eligible studies. MAs were nearly always (96%) based on a traditional mediation approach. Most studies did not report a sample size calculation for the MA (96%) or assess potential treatment-by-mediator interactions (96%). In 53% of studies, mediators and outcomes were simultaneously measured. In 57% of studies, mediator-mediator and mediator-outcome confounders were adjusted for in the analysis, although adjustment was often limited to few potential confounders. About 30% of studies discussed the assumptions underlying the MA. The conduct and reporting of MAs remained quite heterogeneous in practice. Future MAs could benefit from a consensus-based planning, conduct, and reporting guideline for MA.

Identifiants

pubmed: 31593798
pii: S0895-4356(19)30346-4
doi: 10.1016/j.jclinepi.2019.10.001
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

78-88

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Tat-Thang Vo (TT)

Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281-S9, 9000, Ghent, Belgium; Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France. Electronic address: tatthang.vo@ugent.be.

Cecilia Superchi (C)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France; Department of Statistics and Operations Research, Barcelona-Tech, UPC, c/ Jordi Girona 1-3, 08034, Barcelona, Spain.

Isabelle Boutron (I)

Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.

Stijn Vansteelandt (S)

Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281-S9, 9000, Ghent, Belgium; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.

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Classifications MeSH