Scientific Meta-Analysis Workflow

Content

{
  "steps": [
    {
      "tool": "pubmed_api",
      "order": 1,
      "action": "Search PubMed and Semantic Scholar for studies matching PICO criteria",
      "output": "candidate_studies"
    },
    {
      "tool": "llm",
      "order": 2,
      "action": "Screen abstracts for inclusion: apply inclusion/exclusion criteria, output filtered list",
      "output": "included_studies"
    },
    {
      "tool": "llm",
      "order": 3,
      "action": "Extract effect sizes, sample sizes, methodology, and outcome measures from each paper",
      "output": "extraction_table"
    },
    {
      "tool": "python_statsmodels",
      "order": 4,
      "action": "Run random-effects meta-analysis, compute pooled effect size with 95% CI",
      "output": "pooled_effect"
    },
    {
      "tool": "python_matplotlib",
      "order": 5,
      "action": "Generate forest plot and Funnel plot for publication bias assessment",
      "output": "plots"
    },
    {
      "tool": "llm",
      "order": 6,
      "action": "Write PRISMA-compliant results section with heterogeneity analysis (I²)",
      "output": "results_section"
    }
  ],
  "tools_required": [
    "pubmed_api",
    "llm",
    "python3",
    "statsmodels",
    "matplotlib"
  ],
  "expected_output": "PRISMA-compliant meta-analysis with pooled effect size, forest plot, publication bias assessment",
  "trigger_condition": "Research domain with 20+ published studies on same intervention/effect"
}