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Three-dimensional evidence network plot system: covariate imbalances and effects in network meta-analysis explored

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Summary

This study introduces a novel 3D evidence network plot system for network meta-analysis (NMA). The tool aids researchers in visualizing covariate distributions and assessing NMA validity.

Keywords:
CovariateEvidence networksHeterogeneityMeta-analysis feasibilityNetwork meta-analysisNovel graphical toolThree dimensional

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Area of Science:

  • Biostatistics
  • Health Informatics
  • Evidence Synthesis

Background:

  • Network meta-analysis (NMA) is crucial for synthesizing evidence from multiple studies.
  • Assessing covariate distributions and imbalances is vital for NMA validity.
  • Existing tools lack interactive 3D visualization for covariate exploration.

Purpose of the Study:

  • To develop a novel web-based interactive 3D tool, the 3D evidence network plot system.
  • To facilitate the visualization and exploration of covariate distributions and imbalances in NMA.
  • To enhance the assessment of NMA feasibility and validity.

Main Methods:

  • Developed a 3D evidence network plot system using AngularJS and Three.js.
  • Utilized a formatted Microsoft Excel template for data input.
  • Applied the tool to two NMA examples with multiple covariates.

Main Results:

  • The 3D system offers an intuitive way to assess covariate similarity and differences across studies.
  • Identified potential study differences that could invalidate NMA assumptions.
  • Demonstrated the tool's utility in NMA feasibility/validity assessments and result interpretation.

Conclusions:

  • The 3D evidence network plot system is the first tool for 3D visualization of covariate distributions in NMA.
  • Primarily beneficial for systematic review and meta-analysis researchers.
  • Aids in assessing NMA validity and robustness for decision-making.