Data extraction templates
These data extraction templates can only be used to import study data into reviews using study centric data management.
From 3 June 2024, all intervention and flexible (rapid) reviews and protocols of these review types have study-centric data management enabled as a default system setting. See Study centric data management.
Study-centric data management does not prevent you from setting up and editing manual-input analyses in your review. See Set up a manual-input analysis.
If you want to populate study manually, see Enter study data manually. See also Paste study characteristics.
Are you using Covidence?
If you are using study centric data management and choose to use Covidence to extract study data, your data will automatically be exported in a format compatible with import into RevMan. See Import study data from CSV using Covidence.
If you are not using Covidence, you can download and use the templates below to inform the design of your data extraction forms.
Data extraction templates to import study data is only available for the Included studies. For all other studies (Excluded, Awaiting classification, Ongoing), see how you can enter study data manually and edit study information. See also Paste study characteristics.
Use these templates to import all of your study data in a few clicks.
- Study information (add one row per study, includes general study information, study characteristics and covariates)
- Study arms (add one row per arm for each study, includes the arms the studies report to and which intervention they map to)
- Study results (add one row per arm for each study, includes contrast and arm level result data including calculator input fields)
- Risk of bias judgements and support for judgements (note a review can only use either Risk of Bias 1 or Risk of Bias 2)
- Risk of bias 1 (one row per study)
- Risk of bias 2 (one row per result)
Before preparing your data extraction templates, make sure you have set up your review criteria as these will need to match exactly with the data in your files.