Documentation Index
Fetch the complete documentation index at: https://docs-evisyn.grabmywork.com/llms.txt
Use this file to discover all available pages before exploring further.
For quantitative synthesis, EviSyn provides built-in meta-analysis with forest plot generation, data extraction from papers, and risk of bias integration.
Navigate to Meta-Analysis from your project dashboard and click New Analysis.
Step 1: Topics & Groups
Configure your analysis:
| Field | Description |
|---|
| Analysis Topic | What you’re comparing (e.g., “ICU Stay after lung cancer surgery”) |
| Description | Optional details about the analysis |
| Group 1 | Intervention group label (e.g., “Favours Prehabilitation”) |
| Group 2 | Control group label (e.g., “Favours Standard of Care”) |
| Outcome Type | Continuous or Binary |
| Effect Measure | SMD, MD, OR, RR, etc. |
| Model | Fixed Effect or Random Effects |
Click Next to proceed.
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.
Step 3: Risk of Bias
Select a risk of bias template to integrate with your analysis:
| Template | Description |
|---|
| RoB 2.0 (Cochrane) | Standard 5-domain RoB2 assessment |
| ROBINS-I (Non-randomized) | For non-randomized studies |
| Newcastle-Ottawa Scale | For observational studies |
| Custom (start empty) | Build your own domains |
Domains are displayed as columns in your analysis table.
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
Adding Studies
| Method | How |
|---|
| Add Papers | Select from your finalized papers |
| Extract from Papers | AI reads papers and populates data automatically |
| Import Template | Import from a pre-filled spreadsheet |
| Manual Entry | Click cells to enter data directly |
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.
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
Export Options
| Format | Description |
|---|
| Pull RoB | Sync risk of bias data from quality assessment |
| Import Template | Import study data from spreadsheet |
| Export CSV | Download the full analysis table |
What’s Next?
After meta-analysis, proceed to Manuscript Writer to draft your Results and Discussion sections.