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. 2023 Aug 11;42:206. doi: 10.1186/s13046-023-02730-0

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© The Author(s) 2023

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. 9 — A A survival decision tree built to optimize the prognostic stratification combined with a alluvial diagram of risk stratification and survival status. B Significant differences of overall survival (OS) are observed among the three risk subgroups (P < 0.0001). C A personalized scoring nomogram is generated to predict 3- and 5-year OS probability with five parameters( TNM Stage, Age, PNI, Lymphv and NII score), and the arrow shows an example. D Calibration curves of 3-year and 5-year overall survival (OS) prediction are close to the ideal performance (45-degree line). E Decision curve demonstrates that the nomogram exhibited more powerful capacity of survival prediction compared with TNM stage system. F-G Kaplan–Meier curves for the patients with high and low overall survival of Nomogram points in the training cohort (Log rank test, p < 0.0001.) and validation cohort (Log rank test, p < 0.0001.). H-I The comparing between nomogram and TNM system with ROC in training cohort and validation cohort. J Time-dependent ROC curves of nomogram in training cohort