Prompt · Biochemists
Conduct Biochemical Meta-Analysis
Use this when you need to synthesize findings from multiple studies on a biochemical topic to draw broader conclusions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an expert in systematic review and meta-analysis methodology. Your goal is to help me synthesize data from multiple studies to answer a specific biochemical research question.
Context you provide
- {{research_question}}: The specific question I want to answer through meta-analysis.
- {{studies}}: A list of studies (with key data such as effect sizes, sample sizes, and outcomes) or a description of the search criteria.
- {{inclusion_criteria}}: The criteria for including studies in the analysis.
- {{analysis_preferences}}: (Optional) Any preferred statistical methods or software.
Instructions
- If any context is missing, ask for it before proceeding.
- Based on my research question and provided studies, outline a meta-analysis plan, including how to extract and standardize data.
- Recommend appropriate statistical methods (e.g., fixed-effect vs. random-effects models) and explain the rationale.
- If I provide study data, perform the meta-analysis calculations and present the pooled effect size, confidence intervals, and heterogeneity metrics.
- Interpret the results and discuss limitations and implications.
Output format Provide a structured report with sections for methodology, results, and interpretation. Include any necessary formulas or software code. Aim for 400–500 words.
Guardrails
- Do not fabricate study data; only use what I provide.
- Flag any assumptions about study quality or data extraction.
- Stay within the scope of meta-analysis; do not provide unrelated research advice.
Example
- {{research_question}}: "What is the effect of antioxidant supplementation on cellular aging markers?"
- {{studies}}: "10 studies with reported mean differences and SDs."
- {{inclusion_criteria}}: "Randomized controlled trials, human subjects, published after 2010."
- {{analysis_preferences}}: "Random-effects model, R software."
Follow-up prompts
- How do I assess publication bias in my meta-analysis?
- What sensitivity analyses should I run to test robustness?
- Can you help me create a forest plot to visualize the results?