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Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package.

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Network meta-analysis synthesizes evidence from multiple studies. A new arm-based method and the pcnetmeta package estimate both absolute and relative treatment effects, overcoming limitations of traditional contrast-based approaches.

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Area of Science:

  • Biostatistics
  • Clinical Epidemiology
  • Health Services Research

Background:

  • Network meta-analysis (NMA) synthesizes evidence from multiple studies.
  • Contrast-based NMA models relative treatment effects but struggles with absolute risks.
  • External data or separate models are often needed for absolute effect estimation.

Purpose of the Study:

  • Introduce the arm-based network meta-analysis method.
  • Demonstrate the utility of the R package pcnetmeta for implementing arm-based NMA.
  • Enable estimation of both absolute and relative treatment effects.

Main Methods:

  • Arm-based network meta-analysis approach.
  • Utilized the R package pcnetmeta for analysis.
  • Handled binary, continuous, and count outcome data.

Main Results:

  • The arm-based method successfully estimates absolute treatment effects.
  • The pcnetmeta package provides a user-friendly implementation.
  • Both absolute and relative treatment effects can be estimated simultaneously.

Conclusions:

  • Arm-based NMA offers a more comprehensive synthesis of treatment effects.
  • The pcnetmeta package facilitates the application of this advanced method.
  • This approach enhances evidence synthesis for clinical decision-making.