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. 2022 Jun 2;12:899443. doi: 10.3389/fonc.2022.899443

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Copyright © 2022 Ba, Su, Gao, Liao, Wu, Cao, Liang, Gong and Guo

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and validation of a nomogram to predict survival of patients with glioma. (A) Nomogram for predicting the 1-, 3-, 5-year survival of glioma patients in the training set. (B) ROC curves of the nomogram for predicting the sensitivity and specificity of 1-, 3-, 5-year survival in glioma patients in the training dataset. (C) Calibration curves of the nomogram for predicting 1-, 3-, and 5-year survival in glioma patients in the training dataset. (D-F) ROC curves of the nomogram for predicting the sensitivity and specificity of 1-, 3-, 5-year survival in glioma patients in the TCGA testing dataset(D), CGGA (E), and Rembrandt (F). (G-I) Calibration curves of the nomogram for predicting 1-, 3-, 5-year survival in glioma patients in the TCGA testing dataset (G), CGGA (H), Rembrandt (I).