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. 2024 May 21;24:117. doi: 10.1186/s12880-024-01295-4

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© The Author(s) 2024

Open Access This 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. 6 — Decision curves of the overall model in the training and test dataset. The decision curve showed that if the threshold probability was between 30 and 80%, using the overall model to predict probability for MACE added more benefit. The y-axis indicates the net benefit. The x-axis indicates threshold probability. The gray line represents the assumption all patients have MACE. The horizontal line represents the assumption no patients have MACE.