Graphical tools for network meta-analysis in STATA
TLDR
This paper provides 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.Abstract:
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.read more
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Cochrane Handbook for Systematic Reviews of Interventions
Julian P T Higgins,Sally Green +1 more
TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
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The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations
Brian Hutton,Georgia Salanti,Deborah M Caldwell,Anna Chaimani,Christopher H. Schmid,Chris Cameron,John P. A. Ioannidis,Sharon E. Straus,Kristian Thorlund,Jeroen P. Jansen,Cynthia D. Mulrow,Ferrán Catalá-López,Peter C Gøtzsche,Kay Dickersin,Isabelle Boutron,Douglas G. Altman,David Moher +16 more
TL;DR: The process of developing specific advice for the reporting of systematic reviews that incorporate network meta-analyses is described, and the guidance generated from this process is presented.
Journal ArticleDOI
Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis
Andrea Cipriani,Andrea Cipriani,Toshi A. Furukawa,Georgia Salanti,Anna Chaimani,Anna Chaimani,Anna Chaimani,Lauren Z Atkinson,Lauren Z Atkinson,Yusuke Ogawa,Stefan Leucht,Henricus G. Ruhé,Henricus G. Ruhé,Erick H. Turner,Julian P T Higgins,Matthias Egger,Nozomi Takeshima,Yu Hayasaka,Hissei Imai,Kiyomi Shinohara,Aran Tajika,John P. A. Ioannidis,John R. Geddes,John R. Geddes +23 more
TL;DR: This work aimed to update and expand previous work to compare and rank antidepressants for the acute treatment of adults with unipolar major depressive disorder, and found that all antidepressants were more effective than placebo.
Journal ArticleDOI
A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis
Milo A. Puhan,Holger J. Schünemann,Mohammad Hassan Murad,Tianjing Li,Romina Brignardello-Petersen,Jasvinder A. Singh,Alfons G.H. Kessels,Gordon H. Guyatt +7 more
TL;DR: It is shown that the quality of evidence supporting NMA estimates varies from high to very low across comparisons, and that quality ratings given to a whole network are uninformative and likely to mislead.
Journal ArticleDOI
Evaluating the Quality of Evidence from a Network Meta-Analysis
TL;DR: An approach to determining confidence in the output of a network meta-analysis is proposed based on methodology developed by the Grading of Recommendations Assessment, Development and Evaluation Working Group for pairwise meta-analyses and applied to a systematic review comparing topical antibiotics without steroids for chronically discharging ears with underlying eardrum perforations.
References
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TL;DR: Cluster Analysis for Researchers does not guarantee a high level of accuracy, but it can be helpful to have a basic understanding of how cluster analysis works.