Personalized criteria | meta:umbrella

Example 3: using the 'Personalized' criteria to stratify evidence.

Download example datasets here

In this example, a researcher wants to stratify evidence based on the the number of studies, the p-value of the meta-analysis, and the risk of publication bias.

To obtain the stratification of evidence according to the 'Personalized' criteria, you have three main steps to perform:

1. Load your dataset and check formatting

  • Open the metaevidence app
  • Load your dataset (if you are using an example dataset, select ".txt" format with "Tab" extension)
  • Check that the data have been correctly uploaded (you can verify this by exploring the "Raw data" and then the "Checkings" tabs of the main panel)

2. Select the criteria used to stratify evidence

  • Select the 'Personalized' classification to stratify evidence.
  • A list of 13 criteria will appear. Only criteria selected in the left menu will be used to stratify evidence.
  • Here, 3 criteria are selected and are thus used to stratify evidence:
    • Number of studies
    • P-value of the meta-analysis
    • Publication bias


3. Indicate cut-off values

  • As soon as you select a criterion in the left menu, a list of cut-off values to achieve the different classes for this criterion automatically appears
  • For each criterion, indicate the appropriate cut-off values to reach the different classes (if a cut-off value for a class is empty, it will be assumed that the factor meets the cut-off value)
  • As soon as the different cut-off values are indicated for each criterion, click on the 'Run analysis' button to obtain the results.
  • Read the summary output placed in the "Summary" tab of the main panel and vizualize the results using the "Plot" tab