ct-validation: an open framework for benchmarking target-indication evidence against clinical trial outcomes.

Open-source Python package ct-validation demonstrates that a single curated open clinical trial source can reproduce the success signal of proprietary data, with RS values of 2.92 versus 2.65.

• Why it matters: Benchmarking target-indication evidence against clinical trial outcomes has been limited by proprietary data and custom pipelines, hindering validation of genetic evidence in drug development.
• What they did: The authors developed ct-validation, which computes relative success and odds ratios across clinical phases, supports ontology-based disease matching, and reproduces previous enrichment results with minimal difference.
• The result: Using a systematic benchmark, they found that aggregating open clinical trial registries reduces the success signal (RS=1.52), mainly due to broader indication data, highlighting the importance of curated sources for reliable validation.