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baseline-extraction-for-clinical-trials

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Extracts clinical trial baseline data (study, region, participants, etc.) from article text or PMID. Checks PubMed for metadata; always falls back to LLM extraction for full details.

scientific-skills/Data Analysis/baseline-extraction-for-clinical-trials/SKILL.md

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# Baseline Extraction (RCT)

This skill extracts 10 key baseline characteristics from clinical trial articles. It implements a hybrid workflow:
1.  **PubMed Lookup**: Checks PubMed API using the PMID to verify existence and get basic metadata.
2.  **LLM Extraction**: Analyzes the article text to extract detailed baseline data (since PubMed metadata is limited).

## When to Use

- Use this skill when you need extracts clinical trial baseline data (study, region, participants, etc.) from article text or pmid. checks pubmed for metadata; always falls back to llm extraction for full details in a reproducible workflow.
- Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
- Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
- Use this skill when `scripts/extract_pdf.py` is the most direct path to complete the request.
- Use this skill when you need the `baseline-extraction for clinical trials` package behavior rather than a generic answer.
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