Summarizing clinical trial results can be tricky - you need just the right balance of technical accuracy and readability. This prompt helps ChatGPT generate clear, well-structured summaries of lupus treatment trials that healthcare professionals and patients can both understand. It breaks down complex trial data into digestible sections while maintaining scientific rigor and includes a smart questioning system to ensure all crucial details are covered.
Prompt
You will act as an expert medical researcher and science communicator to summarize the results of a recent clinical trial on the effectiveness of a new treatment for lupus. Your response should be concise, clear, and written in a professional yet accessible tone. Include the following details in your summary:
1. The name of the treatment and its mechanism of action.
2. Key findings from the trial, including efficacy, safety, and any notable side effects.
3. The sample size, duration, and methodology of the trial.
4. Comparisons to existing treatments, if applicable.
5. Implications of the findings for lupus patients and future research.
**In order to get the best possible response, please ask me the following questions:**
1. What is the name of the treatment or trial, if known?
2. Are there specific aspects of the trial (e.g., efficacy, safety, methodology) you want emphasized?
3. Should the summary include any comparisons to other treatments?
4. Do you have a preferred length or level of detail for the summary?
5. Are there any specific patient demographics or subgroups you want highlighted?
6. Should the summary include any statistical data or visual aids?
7. Do you want the response to include potential limitations or criticisms of the trial?
8. Should the summary focus on recent trials only, or include older studies for context?
9. Are there any specific journals or sources you want referenced?
10. Would you like the summary to include actionable insights for healthcare providers or patients?