What does a network meta-analysis do?

What does a network meta-analysis do?

Network meta-analysis is a technique for comparing multiple treatments simultaneously in a single analysis by combining direct and indirect evidence within a network of randomized controlled trials.

What level of evidence is a network meta-analysis?

A network meta-analysis exploits all available direct and indirect evidence. Empirical studies have suggested it yields more precise estimates of the intervention effects in comparison with a single direct or indirect estimate (Cooper et al 2011, Caldwell et al 2015).

What are the benefits of meta-analysis?

Meta-analysis provides a more precise estimate of the effect size and increases the generalizability of the results of individual studies. Therefore, it may enable the resolution of conflicts between studies, and yield conclusive results when individual studies are inconclusive.

What do you need to know about network meta-analysis?

At the heart of network meta-analysis methodology is the concept of an indirect comparison. Indirect comparisons are necessary to estimate the relative effect of two interventions when no studies have compared them directly.

Which is an extension of a pairwise meta-analysis?

• Network meta-analysis is an extension of standard pairwise meta-analysis by including multiple pairwise comparisons across a range of interventions. • It addresses the comparative effectiveness of multiple treatment alternatives.

Can a meta-analysis be used to compare two treatments?

In many research fields, it is common to find that only few–if any–trials have compared the effects of two treatments directly, in lieu of “weaker” control groups. This often means that traditional meta-analyses can not be used to establish solid evidence on the relative effectiveness of several treatments.

When does incoherence occur in a meta-analysis?

Incoherence (also called inconsistency) occurs when different sources of information (e.g. direct and indirect) about a particular intervention comparison disagree. Grading confidence in evidence from a network meta-analysis begins by evaluating confidence in each direct comparison.