How To Read a Network Meta-analysis.

Network Meta-Analysis Systematic Reviews as Topic Meta-Analysis as Topic
Evidence-based medicine Multiple comparisons Network meta-analysis

Journal

European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 29 08 2023
accepted: 21 10 2023
medline: 5 12 2023
pubmed: 5 11 2023
entrez: 4 11 2023
Statut: ppublish

Résumé

Network meta-analysis (NMA) expands upon traditional meta-analysis by integrating three or more interventions. This allows comparing interventions using evidence from trials that have compared pairs of interventions directly, and indirect evidence through common comparators. We provide an overview of NMA concepts and considerations when interpreting results from a systematic review with a NMA and applying them to clinical practice. PATIENT SUMMARY: Network meta-analysis is a statistical tool that allows researchers to compare multiple treatments for a medical condition at once, even when treatments have not been compared to each other in research studies. This mini-review explains how to read a network meta-analysis and apply its results in patient care.

Identifiants

DOI: 10.1016/j.euf.2023.10.018 PMID: 37925328
pubmed: 37925328
pii: S2405-4569(23)00235-3
doi: 10.1016/j.euf.2023.10.018
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

701-704

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Angie K Puerto Nino (AK)

Faculty of Medicine, University of Helsinki, Helsinki, Finland. Electronic address: apuertonino@gmail.com.

Romina Brignardello-Petersen (R)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Méta-analyse comme sujet › Méta-analyse en réseau › How To Read a Network Meta-analysis.
questionsmedicales.fr › Sciences de l'information › Sources d'information › Moyens de communication › Publications › Littérature de revue comme sujet › Revues systématiques comme sujet › How To Read a Network Meta-analysis.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Méta-analyse comme sujet › How To Read a Network Meta-analysis.