Evidence Synthesis and Study Design Analysis

From Data to Meaning

You have extracted data from individual studies. Now the challenge is synthesis: What does the totality of evidence tell us? How certain can we be? Where are the gaps? AI excels at organizing and structuring this synthesis — while you provide the critical judgment.

The Evidence Synthesis Prompt

PROMPT TEMPLATE: Multi-Study Evidence Synthesis

I have extracted data from [n] studies addressing the question:
"[PICO question]"

STUDY SUMMARIES:
Study 1: [Author, Year] - [Design] - N=[n] - [Key finding
  with effect size and CI]
Study 2: [Author, Year] - [Design] - N=[n] - [Key finding
  with effect size and CI]
Study 3: [Author, Year] - [Design] - N=[n] - [Key finding
  with effect size and CI]
[continue for all studies]

Please synthesize:
1. OVERALL DIRECTION: Do the studies consistently support
   a benefit, harm, or no effect?

2. MAGNITUDE: What is the range of effect sizes observed?
   Is there clinical significance beyond statistical significance?

3. CONSISTENCY: How consistent are results across studies?
   If inconsistent, what factors might explain heterogeneity?
   (populations, doses, durations, outcome definitions)

4. STUDY QUALITY PATTERN: Do higher-quality studies show
   different results than lower-quality studies?