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A generalized pairwise modelling framework for network meta-analysis.

Suhail A R Doi1,2, Jan J Barendregt3

  • 1Department of Population Medicine, College of Medicine, Qatar University, Doha, Qatar.

International Journal of Evidence-Based Healthcare
|April 6, 2018
PubMed
Summary
This summary is machine-generated.

A new generalized pairwise modeling (GPM) framework offers a robust method for network meta-analysis. This approach simplifies complex analyses, making it more accessible for researchers evaluating multiple treatments.

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Area of Science:

  • Biostatistics
  • Health Economics
  • Evidence Synthesis

Background:

  • Network meta-analysis (NMA) synthesizes evidence from multiple treatment comparisons.
  • Existing NMA methods, like Bayesian and multivariate models, are computationally intensive and rely on potentially invalid assumptions.
  • There is a need for more robust and accessible NMA methodologies.

Purpose of the Study:

  • To introduce a novel generalized pairwise modeling (GPM) framework for network meta-analysis.
  • To provide a more robust and accessible alternative to existing NMA methods.
  • To facilitate the application of indirect comparison methods in complex treatment evaluations.

Main Methods:

  • The GPM framework utilizes repeated adjusted indirect comparisons (Bucher method).
  • It extends the transitivity assumption to all common nodes used in indirect comparisons.
  • The framework relies on standard arithmetic and statistical rules, enhancing robustness.

Main Results:

  • The GPM framework provides a computationally less intensive approach to NMA.
  • It is more robust than existing methods due to fewer reliance on complex assumptions.
  • The method is easily accessible to researchers through available software (MetaXL).

Conclusions:

  • The GPM framework offers a valid and practical approach to network meta-analysis.
  • This method enhances the reliability and accessibility of synthesizing evidence from multiple treatment comparisons.
  • Researchers can utilize GPM for more robust and straightforward meta-analysis of complex treatment networks.