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Aten Primaria. 2014 Dec;46(10):573-81. doi: 10.1016/j.aprim.2014.01.006. Epub 2014 May 05.

[Basic concepts for network meta-analysis].

Atencion primaria

[Article in Spanish]
Ferrán Catalá-López, Aurelio Tobías, Marta Roqué

Affiliations

  1. División de Farmacoepidemiología y Farmacovigilancia, Departamento de Medicamentos de Uso Humano, Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid, España; Fundación Instituto de Investigación en Servicios de Salud, Valencia, España. Electronic address: [email protected].
  2. Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, España.
  3. Centro Cochrane Iberoamericano (CCIb), Hospital de la Santa Creu i Sant Pau, Barcelona, España.

PMID: 24796656 PMCID: PMC6985611 DOI: 10.1016/j.aprim.2014.01.006

Abstract

Systematic reviews and meta-analyses have long been fundamental tools for evidence-based clinical practice. Initially, meta-analyses were proposed as a technique that could improve the accuracy and the statistical power of previous research from individual studies with small sample size. However, one of its main limitations has been the fact of being able to compare no more than two treatments in an analysis, even when the clinical research question necessitates that we compare multiple interventions. Network meta-analysis (NMA) uses novel statistical methods that incorporate information from both direct and indirect treatment comparisons in a network of studies examining the effects of various competing treatments, estimating comparisons between many treatments in a single analysis. Despite its potential limitations, NMA applications in clinical epidemiology can be of great value in situations where there are several treatments that have been compared against a common comparator. Also, NMA can be relevant to a research or clinical question when many treatments must be considered or when there is a mix of both direct and indirect information in the body of evidence.

Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

Keywords: Comparaciones mixtas; Comparaciones múltiples; Evidence synthesis; Metaanálisis en red; Mixed-treatment comparisons; Multiple-treatment comparisons; Network meta-analysis; Revisión sistemática; Systematic review; Síntesis de evidencia

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