Literature DB >> 25128059

A comparison of national guidelines for network meta-analysis.

Andrew Laws1, Robyn Kendall2, Neil Hawkins3.   

Abstract

OBJECTIVES: Within technology appraisals, it is necessary to compare the complete set of treatments that may be used in the patient group under consideration. Randomized controlled trials are a key source of evidence for these comparisons. The techniques of network meta-analysis allow the networks of trial evidence to be evaluated to obtain estimates of comparative efficacy between sets of treatments. These techniques may be the only source of estimates of comparative effectiveness if trials directly comparing the treatments of interest have not been conducted, and may provide useful additional evidence if both direct and indirect comparisons exist.
METHODS: We examined both published and draft guidelines from reimbursement and health technology appraisal bodies, and considered their recommendations using appropriate methodology for the conduct of indirect comparisons and the assessments of their validity.
RESULTS: Guidelines from 33 countries were reviewed. Of these, guidelines from 9 countries-Australia, Belgium, Canada, France, Germany, Scotland, Spain, South Africa, and the United Kingdom (England and Wales)-included detailed recommendations on the conduct of network meta-analysis. The recommendations were summarized.
CONCLUSIONS: No two recommendations from the multiple national guidelines are mutually exclusive. It is possible to perform one network meta-analysis for submission to multiple national jurisdictions.
Copyright © 2014 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  guidelines; meta-analysis; policy; reimbursement

Mesh:

Year:  2014        PMID: 25128059     DOI: 10.1016/j.jval.2014.06.001

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  8 in total

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Review 2.  Mapping the characteristics of network meta-analyses on drug therapy: A systematic review.

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3.  The inclusion of real world evidence in clinical development planning.

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4.  School-based interventions to prevent anxiety and depression in children and young people: a systematic review and network meta-analysis.

Authors:  Deborah M Caldwell; Sarah R Davies; Sarah E Hetrick; Jennifer C Palmer; Paola Caro; José A López-López; David Gunnell; Judi Kidger; James Thomas; Clare French; Emily Stockings; Rona Campbell; Nicky J Welton
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5.  Comparability of European League Against Rheumatology-Recommended Pharmacological Treatments of Oral Ulcers Associated with Behçet's Disease: A Systematic Literature Review of Randomized Controlled Trials.

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Review 6.  Comparative Efficacy of Brolucizumab in the Treatment of Neovascular Age-Related Macular Degeneration: A Systematic Literature Review and Network Meta-Analysis.

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7.  Network Meta-analysis to Synthesize Evidence for Decision Making in Cardiovascular Research.

Authors:  Leonardo Roever; Giuseppe Biondi-Zoccai
Journal:  Arq Bras Cardiol       Date:  2016-04       Impact factor: 2.000

8.  History and publication trends in the diffusion and early uptake of indirect comparison meta-analytic methods to study drugs: animated coauthorship networks over time.

Authors:  Joann K Ban; Mina Tadrous; Amy X Lu; Erin A Cicinelli; Suzanne M Cadarette
Journal:  BMJ Open       Date:  2018-06-30       Impact factor: 2.692

  8 in total

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