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. 2020 Jul 27;10:12462. doi: 10.1038/s41598-020-69330-2

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Model comparison and clinical usefulness of IRGs nomogram. Decision curve analysis of the nomogram model in TCGA 3-year (a) and 5-year (b) prediction and GEO 3-year (c) and 5-year (d) prediction. The clinical usefulness of IRGs nomogram model and the stage evaluation system were compared to treating none or all of the patients. The higher the net benefit, the better the evaluation model was. In both training and validation sets, using the IRGs nomogram to predict patient prognosis added more benefit than treating none or all patients, and was more beneficial compared to using the stage evaluation to predict.