evidence-synthesis

Synthesize research findings into GRADE tables and meta-analytic summaries.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/hanumin/Tumi-DentAI-ResearchNexus --skill evidence-synthesis-hanumin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evidence-synthesis
Source: https://github.com/hanumin/Tumi-DentAI-ResearchNexus/tree/main/hermes-skills/evidence-synthesis
Command: npx skills add https://github.com/hanumin/Tumi-DentAI-ResearchNexus --skill evidence-synthesis-hanumin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill consolidates multiple research study results into comprehensive summaries, aiding evidence-based decision making.

Core Features & Use Cases

  • Data Integration: Combines findings from diverse studies into clear summaries such as GRADE tables and narrative syntheses.
  • Meta-Analysis Support: Describes pooled estimates, heterogeneity, and subgroup analyses to interpret collective evidence.
  • Use Case: A researcher analyzing clinical trials for a new dental intervention can synthesize outcomes to support systematic review conclusions.

Quick Start

Provide the study results data, and instruct the AI to generate a GRADE summary table or meta-analysis narrative in a report.

Frequently Asked Questions about evidence-synthesis

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

FAQPage Schema
How do I summarize multiple research findings into a structured evidence synthesis?

To create an evidence synthesis, provide text inputs of study data to generate structured summaries, narrative syntheses, and meta-analytic descriptions. This process consolidates diverse research findings into comprehensive reports for evidence-based decision making.

What is the best way to generate a GRADE summary table for a systematic review?

Generating a GRADE summary table requires providing the AI with your clinical research or trial results data. The system then formats this input into analytical GRADE tables and evidence tables to support systematic review conclusions.

Can I use this for meta-analysis support and subgroup analyses in clinical research?

Yes, you can use this for meta-analysis support by inputting your study data to describe pooled estimates, heterogeneity, and subgroup analyses. It interprets collective evidence to aid clinical research interpretation.

Does this work for analyzing clinical trials for new medical interventions?

This works for analyzing clinical trials by allowing researchers to synthesize outcomes from new interventions. By inputting trial data, you can generate comprehensive summaries and evidence tables to support systematic review conclusions.

Do I need to provide formatted data inputs to generate a meta-analysis narrative?

Yes, you need to provide text inputs of your study results data to generate a meta-analysis narrative or GRADE summary table. The system requires raw research data to produce formatted, analytical outputs.