Data Extraction

Data extraction pulls specific information from each included paper into structured, analyzable tables. EviSyn lets you define custom extraction templates and uses AI to populate them automatically.

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Creating an Extraction Template

Navigate to Tabular Extraction from your project dashboard. Click Create New Table to define your extraction template.

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Template Builder

Define the data you want to extract:

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Adding Columns

For each column, specify:

• Column Name — The data field (e.g., “Study ID”, “Population”, “Intervention”)
• Data Type — Text, Number, or other types
• Description — What to extract (helps the AI understand what you need)

Click + Add Column to add more fields.

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Example Template

A typical “Summary of Included Studies” template might include:

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Running AI Extraction

After creating your template:

1. Click Extract All to run AI extraction on all finalized papers
2. The AI reads each paper’s full text and fills in every column
3. Results appear in a structured table

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Side-by-Side Review

Click View Results to see the extraction table alongside the source PDFs. The split view shows:

• Left side — Extracted data in table format
• Right side — The source PDF with highlighted passages

This lets you verify each extraction against the original paper.

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Managing Results

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What’s Next?

After data extraction, proceed to Quality Assessment to evaluate the risk of bias in your included studies.