RESEARCH · Deep Research
Clinical Trial PICO Extraction, Screening & Evidence Synthesis Matrix with AI
Writing a systematic review or meta-analysis? Instead of manually reading hundreds of PubMed RCT abstracts, use AI to extract PICO elements (Population, Intervention, Comparison, Outcome), sample sizes, p-values and Cochrane risk-of-bias flags into a clean CSV table.
CORE TOOLS
PubMed, DeepSeek R1 / Claude 3.7, Zotero
BEST FOR
Clinicians, medical students, systematic reviewers, pharma medical affairs
REQUIREMENTS
PubMed abstracts or trial text; DeepSeek R1 or Claude
✦ WHY THIS WORKFLOW
Clinicians and researchers spend weeks manually copying sample sizes and confidence intervals into spreadsheets. Extracting PICO tables alongside verbatim provenance quotes cuts screening and data-extraction time by 80%.
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Interactive Workflow Animation Preview
Step-by-Step Action Checklist
0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Act as an Evidence-Based Medicine (EBM) and Cochrane Systematic Review Methodologist. My PICO eligibility criteria are: - **Population (P)**: [Specify] - **Intervention (I)**: [Specify] - **Comparison (C)**: [Specify] - **Outcomes (O)**: [Specify] - **Study Design**: [e.g., Randomized Controlled Trials only] Analyze the following clinical paper text/abstracts: [Paste text] Deliver: 1) [Screening Decision Table]: Include / Exclude / Unclear with exact exclusion reason; 2) [Structured PICO & Effect-Size Matrix]: Author/Year, Sample Size (I/C), Baseline Demographics, Regimen & Duration, Primary/Secondary Outcomes with exact effect sizes (OR/RR/HR/MD, 95% CI, p-value); 3) [Cochrane RoB 2 Bias Check]: Flag randomization, allocation concealment, blinding, and attrition details with verbatim supporting quotes.