A checklist for the assessment of published indirect comparisons and network meta-analyses

ID: 

18096

Session: 

Short oral session 2: Considerations for meta-analyses

Date: 

Wednesday 13 September 2017 - 11:00 to 12:30

Location: 

All authors in correct order:

Bender R1, Sturtz S1, Kiefer C1
1 IQWiG, Germany
Presenting author and contact person

Presenting author:

Ralf Bender

Contact person:

Abstract text
Background: Systematic reviews provide an overview of the available studies on a certain topic. By means of meta-analyses pooled-effect estimates can be calculated if the considered data are sufficiently homogenous. Besides traditional meta-analyses, in which direct head-to-head studies comparing 2 interventions are summarised, indirect comparisons and network meta-analyses are increasingly used.

Objectives: To describe and discuss a checklist for the assessment of published indirect comparisons and network meta-analyses.

Methods: Existing approaches for indirect comparisons and network meta-analyses are presented and explained. The main assumptions and requirements of these methods are described. A checklist for the assessment of published indirect comparisons and network meta-analyses is suggested. By means of examples, different types of indirect comparisons and network meta-analyses are described and the application of the checklist is explained.

Results: Within the framework of systematic reviews indirect comparisons and network meta-analyses enable the estimation of effects without corresponding direct head-to-head studies as well as the simultaneous analysis of networks containing more than 2 interventions. The adequate application of these methods requires strong assumptions. Transparent and detailed documentation is essential for an adequate assessment of published results from indirect comparisons and network meta-analyses.

Conclusions: Indirect comparisons and network meta-analyses represent an important advancement of traditional meta-analyses. However, the underlying assumptions and requirements have to be acknowledged.