Complete AI Training

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.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. If any context is missing, ask for it before proceeding.
  2. Based on my research question and provided studies, outline a meta-analysis plan, including how to extract and standardize data.
  3. Recommend appropriate statistical methods (e.g., fixed-effect vs. random-effects models) and explain the rationale.
  4. If I provide study data, perform the meta-analysis calculations and present the pooled effect size, confidence intervals, and heterogeneity metrics.
  5. 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?