This article is published in Research Synthesis Methods as a special issue on Network Meta-analysis, edited by Georgia Salanti, University of Ioannina, Greece.
Special Issue Paper
Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool†
Version of Record online: 11 JUN 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Research Synthesis Methods
Special Issue: Special issue on Network Meta-analysis
Volume 3, Issue 2, pages 80–97, June 2012
How to Cite
Salanti, G. (2012), Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res. Synth. Method, 3: 80–97. doi: 10.1002/jrsm.1037
- Issue online: 20 JUL 2012
- Version of Record online: 11 JUN 2012
- Manuscript Accepted: 14 MAR 2012
- Manuscript Revised: 12 MAR 2012
- Manuscript Received: 10 AUG 2011
- systematic reviews;
- evidence-based practice
The ever increasing number of alternative treatment options and the plethora of clinical trials have put systematic reviews and meta-analysis under a new perspective by emphasizing the need to make inferences about competing treatments for the same condition. The statistical component in reviews that compare multiple interventions, network meta-analysis, is the next generation evidence synthesis toolkit which, when properly applied, can serve decision-making better than the established pairwise meta-analysis. The criticism and enthusiasm for network meta-analysis echo those that greeted the advent of simple meta-analysis. The main criticism is associated with the difficulty in evaluating the assumption underlying the statistical synthesis of direct and indirect evidence. In the present article, the assumption of the network meta-analysis are presented using various formulations, the statistical and nonstatistical methodological considerations are elucidated, and the progress achieved in this field is summarized. Throughout, focus is put on highlighting the analogy between the concerns and difficulties that the scientific community had some time ago when advancing from individual trials to their quantitative synthesis via meta-analysis and those currently expressed about the transition from head-to-head meta-analyses to network meta-analysis. Copyright © 2012 John Wiley & Sons, Ltd.