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Quantifying and presenting overall evidence in network meta-analysis.

Lifeng Lin1

  • 1Department of Statistics, Florida State University, Tallahassee, Florida.

Statistics in Medicine
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Summary
This summary is machine-generated.

Network meta-analysis (NMA) offers a comprehensive view of treatment comparisons. New measures quantify overall evidence, aiding audience evaluation of NMA benefits beyond direct evidence.

Keywords:
direct and indirect evidenceeffective number of studieseffective precisioneffective sample sizenetwork meta-analysis

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Area of Science:

  • Clinical Epidemiology
  • Biostatistics

Background:

  • Network meta-analysis (NMA) synthesizes direct and indirect evidence for multi-treatment comparisons.
  • Existing NMA studies often lack clear reporting of comparison structures and overall evidence.
  • Current practice predominantly displays direct evidence, not the full benefit of NMA.

Purpose of the Study:

  • To classify treatment networks based on different evidence representation assumptions.
  • To introduce novel metrics for quantifying overall evidence in NMAs.
  • To enable intuitive evaluation of NMA benefits compared to pairwise meta-analyses.

Main Methods:

  • Classified treatment networks into three types based on edge width proportionality (number of studies, sample size, precision).
  • Proposed three new measures: effective number of studies, effective sample size, and effective precision.
  • Demonstrated derivations and interpretations using four case studies, including an illustrative example.

Main Results:

  • Treatment network visualizations vary significantly depending on the chosen evidence measure.
  • The proposed measures quantify overall evidence, including gains from indirect evidence.
  • Some treatment comparisons show minimal benefit from incorporating indirect evidence via NMA.

Conclusions:

  • Researchers should present overall evidence in NMAs for better audience comprehension.
  • The proposed measures facilitate preliminary evaluation of NMA quality and evidence strength.
  • Clear visualization of overall evidence enhances the perceived value and trustworthiness of NMAs.