Graphical Tools for Network Meta-Analysis in STATA

• Published in: PloS one Vol. 8; no. 10; p. e76654
• Main Authors: Chaimani, Anna, Higgins, Julian P. T., Mavridis, Dimitris, Spyridonos, Panagiota, Salanti, Georgia
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 03.10.2013; Public Library of Science (PLoS)
• Subjects: Accessibility; Acute Disease; Antimanic Agents - therapeutic use; Antirheumatic Agents - therapeutic use; Arthritis, Rheumatoid - drug therapy; Arthritis, Rheumatoid - physiopathology; Bias; Bipolar Disorder - drug therapy; Bipolar Disorder - physiopathology; Cardiovascular disease; Clinical trials; Computer applications; Data Interpretation, Statistical; Decision making; Epidemiology; Humans; Hygiene; Mathematical models; Medicine; Meta-analysis; Meta-Analysis as Topic; Models, Statistical; Odds Ratio; Research Design; Researchers; Studies; Treatment Outcome; Greece; United Kingdom > UK
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0076654

Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare multiple interventions and has the potential to rank the competing treatments according to the studied outcome. Despite its usefulness network meta-analysis is often criticized for its complexity and for being accessible only to researchers with strong statistical and computational skills. The evaluation of the underlying model assumptions, the statistical technicalities and presentation of the results in a concise and understandable way are all challenging aspects in the network meta-analysis methodology. In this paper we aim to make the methodology accessible to non-statisticians by presenting and explaining a series of graphical tools via worked examples. To this end, we provide a set of STATA routines that can be easily employed to present the evidence base, evaluate the assumptions, fit the network meta-analysis model and interpret its results.