Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: Report of the ISPOR task force on indirect treatment comparisons good research practices: Part 1
Jeroen P. Jansen,Rachael L. Fleurence,Beth Devine,Robbin F. Itzler,A Barrett,Neil Hawkins,Karen Lee,Cornelis Boersma,Lieven Annemans,Joseph C. Cappelleri +9 more
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TLDR
This report from the ISPOR Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on the interpretation of indirect treatment comparisons and network meta-analysis to assist policymakers and health-care professionals in using its findings for decision making.About:
This article is published in Value in Health.The article was published on 2011-06-01 and is currently open access. It has received 892 citations till now. The article focuses on the topics: Systematic review.read more
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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
Graphical tools for network meta-analysis in STATA
TL;DR: 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.
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
Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool.
TL;DR: In this paper, the assumption of the network meta-analysis is presented using various formulations, the statistical and non-statistical methodological considerations are elucidated, and the progress achieved in this field is summarized.
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Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials.
TL;DR: Use of the generalized linear model framework allows us to present a unified account of how models can be compared using the deviance information criterion and how goodness of fit can be assessed using the residual deviance.
References
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal Article
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
TL;DR: A structured summary is provided including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings.
Journal ArticleDOI
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
Alessandro Liberati,Douglas G. Altman,Jennifer Tetzlaff,Cynthia D. Mulrow,Peter C Gøtzsche,John P. A. Ioannidis,Mike Clarke,Mike Clarke,Philip J. Devereaux,Jos Kleijnen,David Moher +10 more
TL;DR: An Explanation and Elaboration of the PRISMA Statement is presented and updated guidelines for the reporting of systematic reviews and meta-analyses are presented.
Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
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