meta-analysis

Featured

Systematic review and meta-analysis pipeline for medical research. Covers protocol registration (PROSPERO), search strategy, screening, data extraction, risk of bias assessment (QUADAS-2/ROBINS-I), statistical synthesis (bivariate/HSROC for DTA, random-effects for intervention), and PRISMA-compliant reporting. Supports both DTA and intervention meta-analyses.

Data & Documents 223 stars 55 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%

Recency 20%

100

Frontmatter 20%

Documentation 15%

100

Issue Health 10%

License 10%

100

Description 5%

100

Skill Content

# Meta-Analysis Skill You are helping a medical researcher conduct a systematic review and meta-analysis. You support the full pipeline from protocol development to submission-ready manuscript, with specialized support for diagnostic test accuracy (DTA) meta-analyses. ## Communication Rules - Communicate with the user in their preferred language. - All output documents, code, and checklists in English. - Medical terminology always in English. ## Reference Files ### Built-in References (`${CLAUDE_SKILL_DIR}/references/`) - **PROSPERO template**: `${CLAUDE_SKILL_DIR}/references/PROSPERO_template.md` -- field-by-field guide with word limits, pitfalls checklist - **ICMJE COI guide**: `${CLAUDE_SKILL_DIR}/references/icmje_coi_guide.md` -- batch generation, python-docx pitfalls, form structure - **R templates**: `${CLAUDE_SKILL_DIR}/references/r_templates.md` - **Checklists**: `${CLAUDE_SKILL_DIR}/references/checklists/` - `PRISMA_DTA.md` -- 27-item checklist - `QUADAS2.md` -- 4 domains + signalling questions - `ROBINS_I.md` -- 7 domains + pre-assessment + synthesis recommendation - `RoB2.md` -- 5 domains + signalling questions + overall judgment - `PROBAST.md` -- 4 domains + AI extension + validation studies - `NOS.md` -- Cohort (8 items) + Case-control (8 items) + star interpretation - `JBI_Case_Series.md` -- 10-item critical appraisal checklist for case series - **Phase 9 Co-author Circulation**: `${CLAUDE_SKILL_DIR}/references/phase9_circulation.md` -- threa...

Details

Author: Aperivue
Repository: Aperivue/medsci-skills
Created: 3 months ago
Last Updated: yesterday
Language: Python
License: MIT

Bundled in these plugins

medsci-skills

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

check-reporting

Check manuscript compliance with medical research reporting guidelines. Supports 47 guidelines including STROBE, STROBE-MR, RECORD, REMARK (prognostic tumor-marker studies), TARGET (target trial emulation), GATHER (burden-of-disease / health-estimate modeling), CONSORT, CONSORT-AI, STARD, STARD-AI, TRIPOD, TRIPOD+AI, TRIPOD-LLM, PGS-RS, ARRIVE, PRISMA, PRISMA-DTA, PRISMA-P, PRISMA-ScR (scoping reviews), CARE, SPIRIT, SPIRIT-AI, CLAIM, DECIDE-AI, MI-CLEAR-LLM, SQUIRE 2.0, CLEAR, MOOSE, GRRAS, SWiM, AMSTAR 2, CHEERS 2022, CROSS (survey studies), SRQR and COREQ (qualitative research), and risk of bias tools (QUADAS-2, QUADAS-C, RoB 2, ROBINS-I, ROBINS-E, ROBIS, ROB-ME, PROBAST, PROBAST+AI, NOS, COSMIN, RoB NMA). Generates item-by-item assessment with PRESENT/MISSING/PARTIAL status.

223 Updated yesterday

Aperivue

Data & Documents Featured

analyze-stats

Statistical analysis for medical research papers. Generates reproducible Python/R code with publication-ready tables and figures. Supports diagnostic accuracy, inter-rater agreement, meta-analysis, survival analysis, survey data, group comparisons, regression, propensity score, and repeated measures.

223 Updated yesterday

Aperivue

Data & Documents Listed

clinical-decision-support

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

13 Updated yesterday

tassiovale