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. 2022 Feb 18;22:186. doi: 10.1186/s12885-022-09279-9

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© The Author(s) 2022

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 — Nomogram for risk score calculation and its performance validation. A The nomogram calculating the risk score of one-year mortality probability based on the selected four features. The status of each feature corresponds to the score on the top panel. The risk score is the sum of the scores corresponding to each feature which then represents the one-year mortality probability according to the scale bars. The risk score of 15 is the cutoff of the high and low risk groups. The overall survival (OS) curves of patients with high (> 15, red) and low (≤ 15, blue) in the Chinese training cohort (B), Chinese validation cohort (C), and the TCGA cohort (D) are shown. Median OS (MOS), HR (95% CI), and P-value are labeled on the right-up corner of each figure