Data extraction

From the included studies the team extracts data with a template of the review’s own. It can be done in duplicate and compared.

Designing the template

Extraction → Template. Add the fields you need: text, number, date, option list, yes/no or long text.
Group them in sections (study characteristics, participants, intervention, outcomes).
Mark the required ones. Save. The template can be extended later without losing data.

Extracting

Each included study has a form built from the template. The PDF (or abstract) is shown alongside so you need not switch windows. Save often: the form remembers changes.

AI pre-extraction

With an AI key, the Fill with AI button proposes a value for each empty field from the full text, with the passage it came from. You verify, correct and save. Fields that already have a value are left alone.

Double extraction

If two reviewers extract the same study, the Compare view puts both forms side by side and marks the differences. The coordinator approves the final version, which is the one exported.

Exporting the data

From Export: CSV or Excel with one row per study and one column per field, and a long-format CSV (study × field × reviewer) ready for metafor, Stata or RevMan Web.

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