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. 2020 Sep 23;10:15495. doi: 10.1038/s41598-020-72488-4

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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 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/.

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The relationships of different clinical factors with RiskScore values of GBM patients. Comparison of RiskScore among different ages (A), sexes (B), and neoadjuvants (C). The horizontal axis represents the different clinical factors, and the vertical axis represents RiskScore values. The constructed RiskScore model was dependent on patient age. (D) The nomogram model constructed by combining the clinical features (age, sex, neoadjuvant) with the RiskScore of GBM patients. There was an obvious association with the greatest influence on predicting the survival rate. (E) The forest plot constructed by combining age with RiskScore for GBM patients. The HR for RiskScore was approximately 1.4 in the forest plots established in combination with RiskScore and age (p < 0.05).