Create your own Rank-heat Plot using NNT values

Select your filters

Design your plot by adding labels, asterisks or values for the plot.

Notes:

  • - Risk ratio and the odds ratio effect measures need to be presented on the log-scale in the input dataset.
  • - For a statistically significant effect measure, the borders in the corresponding section area of the rank-heat plot become thicker.

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Asterisk Symbol

Indicates whether a sector refers to treatments without data on the outcome within the circle.

Note: If "grey" option was selected from color palette, the only available option is "yes" to avoid confusion between the white cells (highest ranking value (100%)) and the white cells without data.

The asterisk symbol in the plot.

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Show NNT values on plot

Indicates whether to show the values of each sector.

"yes"


"no"

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Treatments Labels

Referred to the included treatments across the sectors of circles. Should be one of:

"letters"= for alphabetical characters.



"default titles"= the first row of the dataset (names of the treatments).


"numbers"= for numerical values.

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Treatment legend

To present or not the legend with the names of the treatments.

Note: The outcome legend is always presented by default




Import your data

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Upload your Dataset?

Here is an example of how the data must be.

Risk Ratio effect measure and the Odds Ratio effect measure need to be presented on the log-scale in the input dataset.

NNT CI should make sense, i.e. lower values for CI_low and higher values for CI_high, because the transformation from another treatment effect (TE) to NNT may cause such problems.

Excel template: Download

Drop your file here!