AutoLit® User Guide
Examining Results in Synthesis
Administrative Tools
Support and FAQs
Best Nest Building Practices
SLR Basics: How to Perform Systematic Review
NMA Basics: How to Perform a Meta-Analysis
Best Practices for Writing a Publishable Manuscript
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Once you have configured your Interventions and Data Elements, you are ready to extract data from all included studies in the nest.
Select “Extraction” from the menu:
Alternatively, you can Extract data from the “Extract” tab in Inspector. See here for details on how to get to the Study Modal.
Study Arms represent the patient groups you plan to extract.
To add study arms and identify the Intervention used for each arm, click the “+” button (red circle) in the Study Arms section of the Study Design panel (upper right). Add one Arm for every patient group from the study you plan to extract.
Then, determine what Intervention the study investigated and then find that Intervention using the Intervention drop down menu (see above, red arrow).
Next, determine how many participants were included in the study and put that number in the “Arm Size” box.
Add a new Study Arm for every patient group you want to extract separately.
Once you have finished establishing the Study Arms, you are ready to extract the data from the underlying study. The first step in doing so, for each Data Element, is establishing the Measurement Timepoint for each Data Element.
Each Data Element has one Timepoint presented by default; select whether this timepoint will be:
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When you designate a timepoint as “Baseline” or “Outcome”, you are designating that its data should be pooled with other studies' data. This means that the Measurement Timepoint you designate as “Outcome”, for instance, in each study, must be similar to the “Outcome” timepoint designated in all other studies in that nest.
For each Timepoint, enter the follow-up period with the appropriate unit of time (Days, Weeks, etc.). For Baseline Timepoints, this will typically be 0 days.
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Read through the study and extract the relevant data scoped to each specific Timepoint. If the total population for that Data Element differs from the total population you reported for the Study Arm as a whole, ensure that you edit this information in the “N” column.
FIGURE
If you hover over the tag symbol on each data point, you will notice that the tags applied will appear. This allows for a quick and efficient way to confirm the work of the taggers, as well as the tags giving information to you as the extractor.
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CAUTION: Watch for the red Xs that appear under “Status”. This means something is wrong with the data.
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If any of your data elements have a red X, DO NOT hit “Complete”. You will need to figure out the problem and fix it before hitting “Complete” or risk losing the data from that row.
Once you have input all of the relevent and correct data AND all of the timepoints for each Data Element you extracted have a green check mark, you can hit complete and move onto the next study!
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