Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis

📰 ArXiv cs.AI

Eligibility-Aware Evidence Synthesis framework for clinical trial meta-analysis using agentic approach

advanced Published 6 Apr 2026
Action Steps
  1. Identify relevant clinical trials from large registries
  2. Aggregate results accounting for population differences
  3. Apply eligibility criteria to weight studies
  4. Use LLM-based approaches for automated components of systematic review
Who Needs to Know This

Data scientists and researchers on a team benefit from this framework as it provides a more accurate and comprehensive approach to clinical trial meta-analysis, while clinicians and medical researchers can apply the results to inform treatment decisions

Key Insight

💡 Conventional meta-analysis can be improved by considering clinical compatibility reflected in eligibility criteria

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💡 New framework for clinical trial meta-analysis: Eligibility-Aware Evidence Synthesis #LLMs #MetaAnalysis
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