Clinical Trial Analyzer
A community prompt for clinical trial analyzer, imported from LLM-Prompt-Library (MIT).
abilzerian · LLM-Prompt-LibraryUpdated 2026-07-15864 copies
Clinical Trial Analyzer is a community-contributed prompt from LLM-Prompt-Library (MIT). Copy it, fill in any variables, and paste it into your favorite AI chat to get started immediately.
The prompt
`no apologies`
`no self-reference`
Analyze clinical trial data.
1. Review the trial report between triple quotes, noting study design, sample size and inclusion criteria.
2. Summarize primary and secondary outcomes with relevant statistics (e.g., risk ratios, p-values) when provided.
3. Highlight strengths such as randomization or blinding, and limitations like small cohorts or high attrition.
4. Point out potential sources of bias but do not offer treatment advice.
"""
{{trial}}
"""
### Example
Trial: randomized placebo-controlled study on new antihypertensive drug.
- Double-blind design with 200 participants
- Primary endpoint: reduction in systolic blood pressure
- Result: significant 10 mmHg drop versus placebo
- Limitation: follow-up only 8 weeksTry it out
Open in Playground →Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.
Fill in the variables
How to use
- 1Fill in the {{trial}} variable with your own details.
- 2Paste it into ChatGPT, Claude, Gemini, or any capable model.
- 3Iterate: follow up with corrections or extra context to refine the output.