network-meta-analysis-appraisal
CommunityAutomated appraisal of network meta-analyses.
Education & Research#cinema#appraisal#network-meta-analysis#prisma-nma#evidence-matching#triple-validation#pdf-intelligence
AuthorZpankz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Systematic and reproducible appraisal of network meta-analysis (NMA) papers using a structured, multi-framework checklist and a triple-validation workflow to reduce bias and speed decision making.
Core Features & Use Cases
- Automated PDF intelligence: extract text, tables, and key content from NMA PDFs for evidence mapping.
- Semantic evidence matching: map 200+ criteria to PDF content to surface relevant sections with confidence scores.
- Triple-validation: two independent appraisals plus meta-review consensus to improve reliability.
- Comprehensive frameworks: PRISMA-NMA, NICE DSU TSD 7, ISPOR-AMCP-NPC, CINeMA integrations for quality assessment.
- Professional reports: generate markdown checklists and YAML outputs for reporting and decision support.
Quick Start
Load a network meta-analysis paper as a PDF and run the full appraisal workflow from extraction to report generation.
Dependency Matrix
Required Modules
pymupdfpdfplumbercamelot-py[cv]pandassentence-transformers
Components
scriptsreferences
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Please help me install this Skill: Name: network-meta-analysis-appraisal Download link: https://github.com/Zpankz/mcp-skillset/archive/main.zip#network-meta-analysis-appraisal Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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