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. 2024 Aug 27;170(2):407–418. doi: 10.1007/s11060-024-04808-x

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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/.

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Fig. 4 — Results of univariate survival analyses. Kaplan–Meier plots showing overall survival A as well as analyses of specific prognostic factors (B-H). Kaplan–Meier plots are accompanied by bar charts showing numbers of patients in different categories. B Sex: there is no sex difference with regard to outcome. C Age: there is a clear indirect correlation: young patients show a significantly more favorable outcome as compared to elderly patients. D Extent of resection: there is a direct correlation: patients with gross-total/subtotal resection survive significantly better than patients with biopsy only. E IDH-status: significantly better survival in IDH-mutated cases. F MGMT-promoter-methylation: significantly better survival in cases with MGMT-promoter methylation. G ECOG score: there is a clear indirect correlation: patients with a low postoperative ECOG score survive significantly better as compared to patients with a high ECOG score. H Tumor treating fields (TTF) therapy: the small group of patients who received TTF-therapy show a significantly better outcome