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A novel visualization approach for network meta-analysis: The plate plot and the nmaplateplot R package.

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Summary
This summary is machine-generated.

Network meta-analysis (NMA) results are hard to visualize. The new plate plot tool displays multiple NMA outcomes in one view, improving interpretation and decision-making for comparative effectiveness.

Keywords:
network meta-analysisnmaplateplotplate plotvisualization tool

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Area of Science:

  • Biostatistics
  • Health Services Research
  • Medical Informatics

Background:

  • Network meta-analysis (NMA) synthesizes evidence from multiple interventions, including direct and indirect comparisons.
  • Visualizing complex NMA results (effect sizes, uncertainty, p-values, rankings) is challenging.
  • Current NMA outputs are often reported separately, hindering efficient synthesis.

Purpose of the Study:

  • Introduce an innovative visualization method, the "plate plot," for NMA results.
  • Enable simultaneous display of key NMA outcomes in a single, compact format.
  • Facilitate clearer interpretation and communication of NMA findings.

Main Methods:

  • Developed the "plate plot" for visualizing NMA outcomes.
  • Integrated point estimates, confidence/credible intervals, significance levels, and Surface Under the Cumulative Ranking Curve (SUCRA) values.
  • Demonstrated utility with an example dataset of antidepressant interventions.
  • Created the open-source "nmaplateplot" R package for generating plots.

Main Results:

  • The plate plot effectively displays multiple relevant metrics for comparing intervention efficacy and acceptability.
  • It allows for simultaneous visualization of point estimates, uncertainty, significance, and treatment rankings.
  • The tool facilitates a holistic evaluation of comparative effectiveness data.

Conclusions:

  • The plate plot enhances the interpretation and communication of complex NMA findings.
  • It supports better-informed decision-making in research and clinical practice.
  • The "nmaplateplot" R package provides an accessible tool for generating publication-ready NMA visualizations.