Meta-Analysis

For quantitative synthesis, EviSyn provides built-in meta-analysis with forest plot generation, data extraction from papers, and risk of bias integration.

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Creating a Meta-Analysis

Navigate to Meta-Analysis from your project dashboard and click New Analysis.

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Step 1: Topics & Groups

Configure your analysis: Click Next to proceed.

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Step 2: Columns

Columns are auto-populated based on your outcome type and effect measure:

• Study — Study identifier
• Group 1 Mean/SD/Total — Intervention group statistics
• Group 2 Mean/SD/Total — Control group statistics
• Weight — Study weight in the analysis
• Std. Mean Difference — Calculated effect size

You can rename, add, or remove columns as needed.

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Step 3: Risk of Bias

Select a risk of bias template to integrate with your analysis: Domains are displayed as columns in your analysis table.

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The Analysis Table

The analysis table shows:

• Study data — Click cells to edit values directly
• Effect sizes — Auto-calculated based on your input
• Risk of bias — Color-coded traffic light indicators per domain

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Adding Studies

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AI Data Extraction

Click Extract from Papers to have the AI read each paper and populate the meta-analysis columns: The extraction progress bar shows which paper is being processed.

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Forest Plot

Click Rebuild Forest Plot to generate a publication-ready visualization. The forest plot shows:

• Effect sizes with confidence intervals for each study
• Diamond for the pooled effect
• Heterogeneity statistics (I², Q, p-value)
• Risk of bias traffic lights — colored circles showing RoB2 domain ratings per study
• Overall risk of bias column

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Export Options

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What’s Next?

After meta-analysis, proceed to Manuscript Writer to draft your Results and Discussion sections.