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. 2021 Feb 3;16:63. doi: 10.1186/s13023-021-01686-8

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Optimal ROC curve for the clinical diagnostic score showing the maximal area under the curve (AUC) obtained for the score defined in Table 2. Optimal sensitivity and specificity on this curve are 95.7% and 86.4% respectively (a), corresponding to a threshold of 8.5 for the diagnostic score (b). Solid lines draw the thresholds of 7 and 10 that were chosen to distinguish low/moderate/high likelihood for CS diagnosis based on positive predictive value (not shown)