Populate study data

All new protocols created from 25 April 2023 have study centric data management enabled.

See Should I use study centric data management in my review?

After setting up the review criteria, you can enter results for the included studies.

Ways of populating study data

There are three ways to enter study results: 

1. Via an import using CSV files, such as those exported from Covidence or from RevMan
2. Via an import of a JSON file, such as those exported from RevMan
3. Enter study data manually

Types of study results data 

RevMan can manage two types of results data in the analyses: 

1. Arm level data: When data for all study intervention arms are available, such as the number of cases or events for each arm or mean effect sizes for each arm.
2. Contrast level data: If only effect estimates for comparing the intervention arms are available, e.g. mean difference, (adjusted) odds ratio, hazard ratios. It is possible to use either of these sets of data, or combine them together. With study-centric data-analysis (under ‘Data source’), you can choose to include:
   1. Only arm-level data
   2. Only contrast-level data
   3. Contrast- and arm-level data (preferring arm-level data where both exist)
   4. Contrast- and arm-level data (preferring contrast-level data where both exist) 

Section 5.3.6 of the Cochrane Handbook for Systematic Reviews of Interventions provides more guidance on the different types of data and in what circumstances either might be preferred in your analyses. 

Here is an example of arm level data: 

Here is an example of contrast level data:

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