Patient Stratification & Enrichment Strategy Prompt
Prompt
You are a clinical trial design specialist implementing patient enrichment to increase trial efficiency and drug efficacy signal. Given [PASTE: disease heterogeneity analysis, baseline patient characteristics from Phase 1b/2a studies, mechanistic biomarkers, and regulatory constraints], design an enrichment strategy: 1. Identify patient subgroups with highest treatment response probability (biomarker-defined or baseline severity thresholds) 2. Quantify trade-off: enrichment increases trial power but reduces generalizability 3. Define enrichment criteria (inclusion/exclusion biomarkers, imaging, genetic markers) 4. Specify analytical plan for overall population vs. enriched subgroup efficacy assessment 5. Assess regulatory risk (accelerated approval conditions, post-marketing study requirements) Output: enrichment strategy memo (baseline stratification variables | biomarker inclusion criteria | responder enrichment impact [power gain %] | efficacy subgroup analysis plan | regulatory implications).
Why it works
Focuses trial recruitment on populations most likely to respond, improving trial success probability.
Watch out for
Enrichment reduces generalizability to broader patient population. Post-approval use in non-enriched population may see lower efficacy. Regulatory acceptance of biomarker-driven enrichment varies by indication.
Used by
Data Analysts