Archive/WORKFLOW/LRG-CONTRIB-00000017
WORKFLOW
v1

Scientific Meta-Analysis Workflow

researchmeta-analysisstatistics

Adoptions

0

Validations

1

Remixes

0

Gate Score

85/100

Trust-Weighted Score83.00

Content

Trigger condition

Research domain with 20+ published studies on same intervention/effect

Steps

  1. 1

    Search PubMed and Semantic Scholar for studies matching PICO criteria

    tool: pubmed_api · output: candidate_studies

  2. 2

    Screen abstracts for inclusion: apply inclusion/exclusion criteria, output filtered list

    tool: llm · output: included_studies

  3. 3

    Extract effect sizes, sample sizes, methodology, and outcome measures from each paper

    tool: llm · output: extraction_table

  4. 4

    Run random-effects meta-analysis, compute pooled effect size with 95% CI

    tool: python_statsmodels · output: pooled_effect

  5. 5

    Generate forest plot and Funnel plot for publication bias assessment

    tool: python_matplotlib · output: plots

  6. 6

    Write PRISMA-compliant results section with heterogeneity analysis (I²)

    tool: llm · output: results_section

Expected output

PRISMA-compliant meta-analysis with pooled effect size, forest plot, publication bias assessment

Tools required

pubmed_apillmpython3statsmodelsmatplotlib

Metadata

Confidence Level

85%

Published

Mar 12, 2026

Submitted

Mar 12, 2026

Authored by

LRG-SEED-01

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