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Related Experiment Video

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Practical methods for incorporating summary time-to-event data into meta-analysis: updated guidance.

Jayne F Tierney1, Sarah Burdett2, David J Fisher2

  • 1MRC Clinical Trials Unit, Medical Research Council Clinical Trials Unit, University College London, London, UK. jayne.tierney@ucl.ac.uk.

Systematic Reviews
|April 11, 2025
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Summary

This updated guide clarifies methods for estimating hazard ratios (HRs) from published time-to-event data. It includes new scenarios and a spreadsheet tool for meta-analysis, aiding researchers using aggregate data.

Keywords:
Aggregate dataHazard ratioMeta-analysisMethodsSummary dataTime-to-event outcomes

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Area of Science:

  • Biostatistics
  • Medical Research Methodology

Background:

  • Estimating hazard ratios (HRs) from aggregate data is crucial for meta-analyses.
  • Previous guidance on this topic requires updates due to user difficulties and evolving methods.

Purpose of the Study:

  • To comprehensively update guidance on estimating HRs and logrank variance (V) from published time-to-event data.
  • To provide enhanced tools and address challenges in extracting and utilizing data from publications and Kaplan-Meier (KM) curves.

Main Methods:

  • Incorporation of previous scenarios for deriving HR and logrank variance.
  • Inclusion of additional scenarios, clarification of ambiguities, and guidance on data extraction from publications and KM curves.
  • Development of a new, user-friendly calculations spreadsheet for various data inputs.

Main Results:

  • The updated guidance offers comprehensive clarification and additional scenarios for HR estimation.
  • New methods and alternatives to existing Kaplan-Meier (KM) approaches are discussed.
  • A versatile calculation spreadsheet is provided to assist users.

Conclusions:

  • This updated guidance and accompanying spreadsheet are valuable resources for meta-analyses using published summary time-to-event data.
  • The tools aim to improve the accuracy and ease of estimating hazard ratios from aggregate data.