In a network of interventions there can be multiple ways to make indirect comparisons between the interventions. Network meta-analysis provides an analysis option for such a review.Īny set of studies that links three or more interventions via direct comparisons forms a network of interventions. People who need to decide between alternative interventions would benefit from a single review that includes all relevant interventions, and presents their comparative effectiveness and potential for harm. However, it is usually the case that several, perhaps even numerous, competing interventions are available for any given condition. Most Cochrane Reviews present comparisons between pairs of interventions (an experimental intervention and a comparator intervention) for a specific condition and in a specific population or setting. Available from 11.1 What is network meta-analysis? Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Chapter 11: Undertaking network meta-analyses.
Domain-specific assessments are combined to determine the overall confidence in the evidence.Ĭite this chapter as: Chaimani A, Caldwell DM, Li T, Higgins JPT, Salanti G. Grading confidence in evidence from a network meta-analysis begins by evaluating confidence in each direct comparison. direct and indirect) about a particular intervention comparison disagree. Incoherence (also called inconsistency) occurs when different sources of information (e.g. It also allows estimation of the ranking and hierarchy of interventions.Ī valid network meta-analysis relies on the assumption that the different sets of studies included in the analysis are similar, on average, in all important factors that may affect the relative effects. Network meta-analysis produces estimates of the relative effects between any pair of interventions in the network, and usually yields more precise estimates than a single direct or indirect estimate. Network meta-analysis is a technique for comparing three or more interventions simultaneously in a single analysis by combining both direct and indirect evidence across a network of studies.
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