In order to Extract, you first need to Configure Interventions and Data Elements, which you do from the Configure Study Tags page in order to reuse the structure you built during the Tagging stage.

Interventions correspond to the types of therapies/treatments/medications etc. that were compared across the articles and appear as purple in the Tagging Hierarchy. Data Elements refer to all other relevant data from the article that will be extracted and appear as gold in the Tagging Hierarchy.

Note: Only one hierarchy can be designated as your Intervention hierarchy, but any node in your hierarchy can be configured as a Data Element. There is no requirement, however, that every tag be configured as a data element!

Extraction can be configured in two places: in the same location that Tags are configured or under “Configure Extraction” in the Extraction module. Extraction configuration is integrated into tagging configuration in order to use your existing hierarchy to structure your Interventions and Data Elements.

Expand the “Extraction Configuration” dropdown button on the right.

The Intervention list on the right corresponds to all of the tags underneath the “Intervention” root tag

Intervention tags can easily be changed. For example, by simply opening the Interventions tab and clicking “Endpoints”, all tags under “Endpoints” are now Interventions for your Extraction.

This is important to note because if you accidentally leave the incorrect hierarchy as the Interventions and then you go to extract, these incorrect Interventions options (for instance, “Endpoints” tags in the example above) will appear under the Intervention drop-down menu instead of the “Interventions” tags

Luckily, this is easily fixed: just navigate back to the Data Elements Menu within the Tagging Hierarchy, click on the “Interventions” root tag, and viola, your Interventions are Interventions once again!

Navigate to the Data Elements Menu and click “Data Elements”

The data elements tab will show you a list of all tags, which you can select either in the list or by clicking on the tag node.

Click the plus sign next to a tag to turn the tag into a Data Element

Continuous, Dichotomous, or Categorical (Mandatory)

Depending on the data type, different inputs will populate. For example, if a data element is categorical, you will be able to specify the different categories.

Baseline or Outcome - Choose the Expected Timepoint based on whether the data was collected at Baseline or as an Outcome (Mandatory)

If the data element can be both a Baseline and an Outcome, choose Baseline.

Higher Better or Lower Better (if applicable) - For example, the Data Element is “Mortality”, Lower Better would most likely be appropriate

Example: Mintues, mL, kg (if applicable)

Mean or Median (Mandatory for continuous variables) - After choosing Mean or Median, it will also ask you about “Dispersion Measure” (SD for Mean; IQR or Range for Median)

Confirm that the configuration worked based on whether the node turned gold, and move on to configure any other Data Elements of interest