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. 2023 Oct 18;23:1001. doi: 10.1186/s12885-023-11288-1

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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. 5 — Predicting the prognosis of HCC patients. Risk scores for clinical characteristics (age, gender, class and stage). Age-related risk scores, P>0.01 (A). Gender-related risk scores, P>0.01 (B). Grade-related risk scores, P<0.001 (C). stage-related risk scores, P<0.001 (D). Univariate Cox regression analysis of the training set., Risk Score, P<0.001 (E). Multivariate Cox regression analysis of the test set, Risk Score, P<0.001 (F). ROC curve (AUC) area predicts risk score characteristics for 1-, 3-, and 5-year overall survival.AUC at 1 years:0.793, AUC at 3 years:0.693, AUC at 5 years:0.698 (G). C-index graph, The C-index values for risk scores were all higher than the four clinical characteristics of age, gender, grade, and stage (H). Nomogram,when total number of HCC patients was 147, the 1-year predicted patient survival rate was greater than 0.936, the 3-year predicted patient survival rate was greater than 0.84, and the 5-year predicted survival rate was greater than 0.741 (I). The calibration curves. x-axis is the Nomogram predicted survival and y-axis is the actual survival, and the calibration curves are almost identical to the predicted ones (J). Nomogram ROC curve (K). Training set Nomogram ROC curve (L). Testing set Nomogram ROC curve (M)