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Med Lit Summary

Extract study design, outcomes, and evidence quality from medical research papers

4.1(28 reviews)
100+ downloads
Updated Sep 2026
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What You Can Do

You can systematically extract and structure critical information from medical research papers and clinical trial reports in minutes rather than hours. This skill identifies study design, population characteristics, interventions, primary and secondary outcomes, and flags clinical significance using evidence quality frameworks. You'll get decision-ready summaries that assess generalizability and applicability to your specific patient population without oversimplifying complex methodological details.

Features

Study Design & Methodology Extraction

identifies RCT, observational, cohort, or case-control designs with sample size and duration assessment

Population Characterization

documents inclusion/exclusion criteria, baseline characteristics, and generalizability to your clinical context

Outcome Analysis

structures primary and secondary outcomes with effect sizes, confidence intervals, NNT/NNH, and clinical vs. statistical significance

GRADE Evidence Quality Appraisal

rates evidence level and assesses risk of bias, consistency, directness, and precision

Clinical Significance Flags

highlights real-world applicability, patient-centered outcomes, and potential harms or limitations

Multi-Study Synthesis

consolidates findings across multiple papers into coherent summary statements and evidence tables

Decision-Ready Conclusions

translates evidence into actionable recommendations without oversimplification of nuance

Example Output

Input: PDF of a phase 3 RCT comparing two diabetes medications

Output:

Study Design: Double-blind, parallel-group RCT; 52 weeks; N=4,325 participants

Population: Adults 18-75 with type 2 diabetes, HbA1c 7.5-10.5%, stable on metformin monotherapy. Note: Limited inclusion of CKD stage 4+ and <5% Black/Hispanic representation—generalizability concerns.

Primary Outcome: HbA1c reduction at 52 weeks: Treatment A −1.2% (95% CI −1.4 to −1.0) vs. Treatment B −0.9% (95% CI −1.1 to −0.7). NNT for HbA1c <7%: 5 patients.

Harms: Hypoglycemia: 8% vs. 3% (p<0.01). GI events: 12% vs. 4%.

GRADE Rating: High quality (RCT, large sample, low attrition, pre-registered outcomes).

Clinical Bottom Line: Clinically superior efficacy but higher hypoglycemia risk—appropriate for well-monitored patients; reconsider in elderly or renal impairment.

What's Included

  • SKILL.md instruction file with prompts and GRADE appraisal checklist:
  • Evidence Extraction Template: structured fields for study design, population, outcomes, and quality rating
  • GRADE Assessment Framework: domain-specific checklist (risk of bias, consistency, directness, precision)
  • Multi-Paper Synthesis Worksheet: consolidate 5+ studies into comparative evidence table
  • Literature Review Screening Checklist: rapid triage protocol for large PubMed searches (>50 papers)

Who It's For

  • Physicians and hospitalists appraising new treatment protocols for patient care decisions
  • Advanced practice providers (NPs, PAs) synthesizing evidence for clinical decision-making and protocol development
  • Clinical pharmacists evaluating drug efficacy and safety for formulary decisions
  • Medical residents and fellows preparing for grand rounds, board exams, and evidence-based learning
  • Healthcare administrators and guidelines committees building evidence tables for institutional protocols

Best For

  • Rapid appraisal of individual RCTs or landmark clinical trials before implementing new treatment protocols
  • Screening and summarizing large literature searches (10-100+ papers) for systematic reviews or meta-analyses
  • Building evidence tables and comparative summaries for clinical guidelines or policy decisions
  • Preparing continuing medical education (CME) and grand rounds presentations with credible backing
  • Assessing applicability of emerging preprints, news-covered studies, or viral medical claims to your patient population

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