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ABSTRACT: Background
High-grade brainstem gliomas (HGBSGs) are aggressive tumors with dismal prognoses. Large-scale studies across all ages are needed to clarify their characteristics and identify predictors of cancer-specific mortality. This study sought to use data from the Surveillance Epidemiology and End Results (SEER) database to conduct a population-based analysis of HGBSG patients of all ages, identify factors influencing cancer-specific survival (CSS), and develop nomograms for prognostic prediction.Methods
We retrospectively analyzed patients with pathologically confirmed brainstem high-grade gliomas using the SEER database from 2000 to 2018. Univariate and multivariate Cox regression, which included patient demographics, tumor characteristics, and treatments were used to i
SUBMITTER: Huang B
PROVIDER: S-EPMC12605596 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature