Agent skill

clinicaltrials-database

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Install this agent skill to your Project

npx add-skill https://github.com/drshailesh88/integrated_content_OS/tree/main/skills/cardiology/clinicaltrials-database

SKILL.md

ClinicalTrials.gov Database

Query the U.S. National Library of Medicine's clinical trials registry through API v2. Public access, no authentication required.

Triggers

  • User asks about ongoing or completed clinical trials
  • User needs trial details for a specific drug/intervention
  • User wants to track recruitment status
  • User is analyzing trial landscape for a cardiology topic
  • User needs NCT numbers for references

Core Capabilities

Function Description
Condition search Find trials for specific diseases
Intervention tracking Identify trials testing drugs/devices
Geographic filtering Locate trials by region/facility
Sponsor lookup Search by conducting organization
Status filtering Filter by recruitment stage
NCT detail retrieval Full study information via NCT ID
CSV export Download data for analysis

API Technical Details

  • Rate limit: ~50 requests/minute
  • Response formats: JSON, CSV
  • Max page size: 1000 studies per request
  • Date format: ISO 8601

Example Searches

Cardiology Trial Discovery

python
# Find active heart failure trials
GET /studies?query.cond=heart+failure&filter.overallStatus=RECRUITING

# SGLT2 inhibitor trials in cardiology
GET /studies?query.intr=SGLT2+inhibitor&query.cond=cardiovascular

# Trials at major academic centers
GET /studies?query.locn=Cleveland+Clinic&query.cond=coronary+artery+disease

# Phase 3 trials for new anticoagulants
GET /studies?query.intr=anticoagulant&filter.phase=PHASE3

Common Status Values

  • RECRUITING - Currently enrolling
  • ACTIVE_NOT_RECRUITING - Ongoing, enrollment closed
  • COMPLETED - Trial finished
  • TERMINATED - Stopped early
  • WITHDRAWN - Never started enrollment

Workflow Integration

For Newsletter/Editorial Content

  1. Search for recent trial results in target area
  2. Identify landmark trials by enrollment size and phase
  3. Pull NCT IDs for proper citation
  4. Cross-reference with PubMed for published results
  5. Note primary endpoints and key secondary outcomes

For Trial Analysis Pieces

  1. Retrieve full study record via NCT ID
  2. Extract: design, enrollment, endpoints, sponsor
  3. Compare with published results if available
  4. Assess trial quality (blinding, randomization, sample size)
  5. Contextualize within existing evidence

Key Fields to Extract

Field Use Case
briefTitle Quick reference
officialTitle Full citation
studyType Interventional vs observational
phases Development stage
enrollmentInfo Sample size
primaryOutcomes Main endpoints
startDate / completionDate Timeline
leadSponsor Industry vs academic

Best Practices

  • Always cite NCT number when discussing trials
  • Note enrollment numbers for context on power
  • Distinguish between primary and secondary endpoints
  • Check for related publications in PubMed
  • Note funding source for potential bias assessment

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