Setting up the review criteria
Study centric data management is available by default for new Cochrane reviews from April 25th 2023.
- Authors with ongoing protocols should consider using study centric data management given the benefits listed on the intro page.
- Authors that have started the data extraction stage or who are updating a review may wish to use study centric data management, but it will require completed work to be repeated to ensure the correct setup.
Click on Review criteria in the left side navigation panel. In this Review criteria section you see six tabs: Interventions, Intervention groupings, Outcomes, Covariates, Characteristics, and Risk of bias.
1. Define and add the interventions and intervention groupings
The first step is to define the interventions and intervention groupings that you want to analyze in the review. This enables you to investigate broader synthesis questions (using the intervention groupings) and narrower synthesis questions (using the interventions).
1.a. Add the granular interventions
Click on the Interventions tab. Identify the most granular list of interventions and add them using the Add intervention button.
In this example, the following list of interventions have been added:
- Penicillin V
Under Description you can add any additional useful information about each Intervention. For the control intervention click Add Intervention again and type 'Placebo' or the control’s name under Name.
These granular interventions help you address narrower synthesis questions.
1.b. Add the intervention groupings
Click on the Intervention groupings tab. Add the intervention groups and assign the relevant interventions to each group. Ensure you add a control group too.
In this example, one intervention grouping is called ‘Any antibiotic vs placebo’ with two intervention groups and the relevant interventions for each group:
- Antibiotics: Xibornol, Aureomycin, Tetracycline, Co-amoxiclav, Co-trimoxazol, Penicillin V
- Placebo: Placebo
Another grouping is called ‘Grouping by coverage’ with three intervention groups and the relevant interventions for each group:
- Broad-spectrum antibiotics: Tetracycline, Co-amoxiclav, Co-trimoxazol
- Narrow-spectrum antibiotics: Penicillin V, Xibornolics, Aureomycin
- Placebo: Placebo
These intervention groupings help you address broader synthesis questions.
2. Add and describe the outcomes
Click on the Outcomes tab and add your outcomes, a description, whether they are continuous or dichotomous, and if continuous, the unit of measure. In this example we assume you are interested in looking at whether the participants still have a cold after one week. Click the Add Outcome button. Under Name, type 'Persistent symptoms after 7 days'. Under Description add which symptoms you are concerned about. Since the participants are assessed to either have a cold or no cold, choose Dichotomous as the outcome Type. Later, if you want to analyze other outcomes, you can return here to add them.
If you have multiple time points for an outcome, these need to be added into RevMan Web as separate outcomes.
3. Add covariates for subgroup and sensitivity analyses
Click on the Covariates tab. This tab is used to define study characteristics and associated categories that you plan to investigate with subgroup analyses (see How to subgroup an analysis based on a study characteristic (covariate)) or filter for sensitivity analyses (see How to filter for a sensitivity analysis based on a study characteristic (covariate)).
Click the Add Covariate button and type your Covariate name and define the different Categories.
Note, that in order for content to fit in the forest plot, covariate names can only be 60 characters long.
4. Set up your analyses using your review criteria
It is recommended that authors set up their analyses at the protocol stage before entering any study results data. This enables you to check that you have included the Interventions, Intervention groupings, Outcomes and Covariates within the Review criteria correctly. It also means that once you import your results data, your analyses will be automatically populated (a key benefit of using study centric data management). To do this, follow the steps on the Creating the analysis page.
The Characteristics tab includes high-level criteria for extracting data from your included studies. The Risk of bias for tab includes the domains of the risk of bias tool you plan to use for assessing risk in your included studies. These are already set-up as default so you do not need to edit them.