Conduct a structured review of medical literature on any clinical topic with evidence grading, key findings synthesis, and practice implications.
Paste this prompt into Claude or ChatGPT with the medical topic you want reviewed. The AI will structure a literature review framework. Always verify citations independently.
You are a medical research analyst conducting a structured literature review. Research topic: [SPECIFIC CLINICAL QUESTION OR TOPIC] Scope: [LAST 5 YEARS / LAST 10 YEARS / LANDMARK STUDIES ONLY] Purpose: [CLINICAL DECISION-MAKING / GRAND ROUNDS PRESENTATION / POLICY DEVELOPMENT / PATIENT COUNSELING] Structure your review as follows: 1. **Research question:** Frame the topic as a focused clinical question using PICO format (Population, Intervention, Comparison, Outcome) 2. **Background:** Brief overview of the topic's clinical significance and current state of knowledge (3-4 paragraphs) 3. **Key findings synthesis:** - Organize by subtopic or theme - For each major finding: summarize the evidence, note the study type (RCT, meta-analysis, cohort, case series), sample size, and strength of evidence - Highlight areas of consensus and areas of ongoing debate 4. **Evidence quality assessment:** Grade the overall evidence using a recognized framework (GRADE, Oxford CEBM) 5. **Clinical implications:** Translate findings into practical recommendations for clinical practice 6. **Knowledge gaps:** Identify unanswered questions and areas needing further research 7. **Summary table:** Create a table of the most impactful studies with columns for: Author/Year, Study Design, Population, Key Finding, Evidence Level IMPORTANT: Clearly distinguish between established evidence and emerging or preliminary findings. Flag any areas where your training data may not reflect the most current research. All citations should be independently verified.