Mixed Treatment Comparisons - Network Meta-analysis

The MPES group has contributed substantially to the growing literature on Mixed Treatment Comparisons (MTC), also known as Network Meta-analysis (NMA) and Multiple Treatment Comparisons.

These are methods that are used to combine results from all the trials that have compared two or more of a set of treatments. For example, the treatments A,B,C,D,E may have been compared in trials of A vs B, A vs C, A vs D, B vs C, B vs E, C vs D, C vs E.

Our published work on these methods, including illustrative WinBUGS code and datasets, can be found in a series of seven Technical Support Documents (TSDs) on the website of the Decision Support Unit a group that supports the methodology used in submissions to the National Institute for Health and Care Excellence (NICE).  The intention behind the TSDs is not to be prescriptive, but rather to explain the requirements for evidence syntheses set out in the 2013 Guide to the methods of Technology Appraisal, and to provide guidance on methods that meet these requirements, including worked examples.

TSD 1: Introduction to evidence synthesis for decision making

TSD 2: A general linear modelling framework for pair-wise and network meta-analysis of randomised controlled trials
            (last updated September 2016)
            WinBUGS system (.odc) files (last updated September 2016)

TSD 3: Heterogeneity: subgroups, meta-regression, bias and bias-adjustment
            WinBUGS system (.odc) files

TSD 4: Inconsistency in networks of evidence based on randomised controlled trials(last updated April 2014)
            WinBUGS system (.odc) files (last updated March 2013)

TSD 5: Evidence synthesis in the baseline natural history model 
            WinBUGS system (.odc) files

TSD 6: Embedding evidence synthesis in probabilistic cost effectiveness analysis: software choices

TSD 7: Evidence synthesis of treatment efficacy in decision making: a reviewer's checklist
            This report refers to a checklist table, which can be downloaded in Word version here

Abridged versions of these documents have been published in Medical Decision Making (all are Open Access)

Evidence synthesis for decision making 1: Introduction

Evidence synthesis for decision making 2: A generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials

Evidence synthesis for decision making 3: Heterogeneity—subgroups, meta-regression, bias, and bias-adjustment

Evidence synthesis for decision making 4: Inconsistency in networks of evidence based on randomized controlled trials

Evidence synthesis for decision making 5: The Baseline Natural History Model

Evidence synthesis for decision making 6: Embedding Evidence Synthesis in Probabilistic Cost-effectiveness Analysis

Evidence synthesis for decision making 7: A Reviewer's Checklist

The same models and coding have also been adopted by the International Society for Pharmaceutical Outcomes Research (ISPOR). Reports from the ISPOR Task Force on Indirect Comparisons:

J. P. Jansen, R. Fleurence, B. Devine, et al. 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.  Value in Health  2011; 14: 417-428

D.C. Hoaglin, N. Hawkins, J.P. Jansen, et al.  Conducting Indirect-Treatment-Comparison and Network-Meta-Analysis Studies: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices—Part 2. Value in Health 2011; 14: 429-437

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