meta-analysis

Run end-to-end medical meta-analyses from protocol to PRISMA-compliant reporting.

243|60|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Aperivue/medsci-skills --skill meta-analysis-aperivue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-analysis
Source: https://github.com/Aperivue/medsci-skills/tree/main/skills/meta-analysis
Command: npx skills add https://github.com/Aperivue/medsci-skills --skill meta-analysis-aperivue

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Systematic reviews and meta-analyses in medicine are time-consuming and error-prone without an integrated workflow. This Skill provides an end-to-end pipeline from protocol development through data extraction, risk-of-bias assessment (QUADAS-2/ROBINS-I), statistical synthesis (bivariate/HSROC for DTA, random-effects for interventions), to PRISMA-compliant reporting.

Core Features & Use Cases

  • Protocol & registration: supports PROSPERO-ready planning and template guidance for pre-registration.
  • Data extraction & RoB: standardized extraction forms for DTA and intervention data, with QUADAS-2/ROBINS-I risk-of-bias checks.
  • Statistical synthesis: DTA (bivariate/HSROC) and intervention (random-effects) meta-analyses, with PRISMA reporting integration.
  • Automation-ready outputs: generates manuscript sections, figures, and structured summaries for rapid submission.

Quick Start

Run the full meta-analysis workflow on your dataset to generate pooled estimates and manuscript-ready outputs.

Frequently Asked Questions about meta-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a diagnostic test accuracy meta-analysis using HSROC and bivariate models?

Diagnostic test accuracy meta-analysis using bivariate and HSROC models is supported through an end-to-end workflow that handles data extraction, risk of bias assessment with QUADAS-2, and statistical synthesis to generate pooled estimates and manuscript-ready outputs.

Do I need R with metafor and mada packages installed to run this meta-analysis workflow?

Yes, you need R installed with the mada, metafor, and meta packages, as the statistical synthesis for DTA and intervention meta-analyses relies directly on these specific R package dependencies to execute the bivariate, HSROC, and random-effects models.

How do I perform a risk of bias assessment for intervention studies using ROBINS-I?

Risk of bias assessment for intervention studies using ROBINS-I is integrated into the data extraction phase, providing standardized extraction forms and checks that systematically evaluate bias before statistical synthesis begins.

Can I use this workflow for both intervention and DTA systematic reviews?

Yes, this workflow applies to both intervention meta-analyses using random-effects models and diagnostic test accuracy reviews using bivariate or HSROC models, supporting standardized data extraction and QUADAS-2 or ROBINS-I assessments for each design.

How do I develop a systematic review protocol ready for PROSPERO registration?

Protocol development for PROSPERO registration is supported through template guidance and pre-registration planning that structures your review questions, inclusion criteria, and analysis plans before data extraction begins.