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. 2024 Jan 13;24:37. doi: 10.1186/s12905-023-02864-5

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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. 7 — Establishment of the Nomogram based on MRL-model. A The Univariate Cox regression analysis for TCGA training dataset. B The Multivariate Cox regression analysis for TCGA training dataset. C The Univariate Cox regression analysis for GEO validation dataset. D The Multivariate Cox regression analysis for GEO validation dataset. The values in parentheses represent 95% confidence intervals. E The Nomogram model based on MRL-model and clinicopathological parameters for TCGA training dataset. F The Nomogram model based on MRL-model and clinicopathological parameters for GEO validation dataset