| name | meta-analysis |
| description | Cross-Study Statistical Synthesis Campaign — 5 strategies for systematic collection and methodological planning of multi-study evidence synthesis. Covers pairwise, network, cumulative meta-analysis, heterogeneity investigation, and bias detection. Stops at protocol design (no computation). |
| execution | campaign |
| used-by | knowledge-acquisition |
Meta-Analysis Campaign
Cross-study statistical synthesis — systematic collection and methodological planning for multi-study evidence synthesis. This campaign orchestrates the full meta-analysis planning pipeline from PICO formulation through protocol design, stopping before computation.
Strategy Routing
| Trigger | Strategy | When |
|---|
| Two-arm comparison | pairwise-synthesis | Comparing method A vs B across studies |
| Multi-method comparison | network-comparison | Comparing N>=3 methods with indirect evidence |
| Temporal evidence tracking | cumulative-tracking | Tracking how evidence evolves over time |
| Inconsistent findings | heterogeneity-investigation | Studies disagree — explain why |
| Evidence reliability | bias-detection | Assess systematic biases in evidence body |
Manifest
Strategies (5)
| Strategy | Purpose |
|---|
| pairwise-synthesis | Paired meta-analysis protocol for two-method comparison |
| network-comparison | Network meta-analysis for N-method simultaneous comparison |
| cumulative-tracking | Cumulative meta-analysis tracking evidence over time |
| heterogeneity-investigation | Explain inter-study variation in findings |
| bias-detection | Systematic bias assessment of evidence body |
Tactics (3)
| Tactic | Purpose |
|---|
| effect-size-extraction | Extract effect sizes and conditions from papers |
| quality-assessment-protocol | Methodological quality and bias risk assessment |
| evidence-synthesis-planning | Plan the statistical synthesis approach |
Subagent SOPs (10)
| SOP | Purpose |
|---|
| pico-formulation | Construct PICO/PECO framework |
| inclusion-criteria-design | Define inclusion/exclusion criteria |
| effect-size-planning | Determine effect size types and calculation methods |
| data-extraction-form | Design structured data extraction form |
| risk-of-bias-assessment | Assess methodological bias (RoB2/PROBAST/QUADAS-2) |
| heterogeneity-source-analysis | Identify and classify heterogeneity sources |
| publication-bias-assessment | Plan funnel plots, Egger's test, trim-and-fill, p-curve |
| sensitivity-analysis-design | Design leave-one-out, influence diagnostics, subgroups |
| evidence-network-construction | Build evidence network graph for NMA |
| meta-analysis-synthesis | Produce final meta-analysis protocol document |
Budget Table
| Strategy | Studies | Effect Sizes | Web Searches |
|---|
| pairwise-synthesis | 30 | 30 | 40 |
| network-comparison | 50 | 80 | 60 |
| cumulative-tracking | 40 | 40 | 30 |
| heterogeneity-investigation | 30 | 30 | 50 |
| bias-detection | 40 | 40 | 40 |
MCP Tools
| MCP Server | Tools |
|---|
| brave-search | brave_web_search, brave_llm_context |
| apify | rag-web-browser, google-scholar-scraper |
| alphaxiv | get_paper_content, answer_pdf_queries |
| semantic-scholar | ss_relevance_search, ss_paper, ss_references, ss_citations |
Context Management
- Input: Research question, domain, candidate studies (optional)
- State: Strategy state ledgers track studies found, effect sizes extracted, quality assessed
- Output: Complete meta-analysis protocol document (PRISMA-compliant)
- Persistence: All intermediate outputs stored in
context/meta-analysis/ subdirectories per strategy
