clinical-trials
$
npx mdskill add mkurman/zorai/clinical-trialsQuery and analyze clinical trial data from ClinicalTrials.gov API.
- Retrieves specific trial records matching research conditions.
- Depends on ClinicalTrials.gov API v2 for data access.
- Filters results by study phase, intervention, and status.
- Outputs structured JSON containing study designs and results.
SKILL.md
.github/skills/clinical-trialsView on GitHub ↗
---
name: clinical-trials
description: "ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery."
tags: [clinical-trials, research, api, systematic-review, healthcare, zorai]
---
## Overview
Search, filter, and download clinical trial records from ClinicalTrials.gov. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.
## Installation
```bash
uv pip install requests
```
## Search Trials
```python
import requests
params = {
"query.term": "diabetes AND metformin AND phase 3",
"pageSize": 25,
"format": "json",
"sort": "LastUpdateDate",
}
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params)
data = resp.json()
for study in data.get("studies", []):
p = study["protocolSection"]
nct = p["identificationModule"]["nctId"]
title = p["identificationModule"]["briefTitle"]
status = p["statusModule"].get("overallStatus", "Unknown")
print(f"{nct}: {title[:60]} [{status}]")
```
## Study Details
```python
resp = requests.get("https://clinicaltrials.gov/api/v2/studies/NCT04251195")
study = resp.json()
design = study["protocolSection"]["designModule"]
print(f"Purpose: {design.get('primaryPurpose')}")
```
## Workflow
1. Search trials via ClinicalTrials.gov API v2
2. Filter by condition, intervention, phase, status
3. Download structured trial data (JSON)
4. Extract PICO: Population, Intervention, Comparison, Outcome
5. Analyze trial designs, enrollment, and results
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