title: The influence of different classification standards of age groups on prognosis in high-grade hemispheric glioma patients.
abstract: Although age is thought to correlate with the prognosis of glioma patients, the most appropriate age-group classification standard to evaluate prognosis had not been fully studied. This study aimed to investigate the influence of age-group classification standards on the prognosis of patients with high-grade hemispheric glioma (HGG). This retrospective study of 125 HGG patients used three different classification standards of age-groups (≤ 50 and >50 years old, ≤ 60 and >60 years old, ≤ 45 and 45-65 and ≥ 65 years old) to evaluate the impact of age on prognosis. The primary end-point was overall survival (OS). The Kaplan-Meier method was applied for univariate analysis and Cox proportional hazards model for multivariate analysis. Univariate analysis showed a significant correlation between OS and all three classification standards of age-groups as well as between OS and pathological grade, gender, location of glioma, and regular chemotherapy and radiotherapy treatment. Multivariate analysis showed that the only independent predictors of OS were classification standard of age-groups ≤ 50 and > 50 years old, pathological grade and regular chemotherapy. In summary, the most appropriate classification standard of age-groups as an independent prognostic factor was ≤ 50 and > 50 years old. Pathological grade and chemotherapy were also independent predictors of OS in post-operative HGG patients.
authors.affiliation: Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
authors.forename: Jian-Wu
authors.initials: JW
authors.lastname: Chen
authors.affiliation: Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
authors.forename: Chang-Fu
authors.initials: CF
authors.lastname: Zhou
authors.affiliation: Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China; Department of Neurosurgery, Beijing Sanbo Brain Hospital, Haidian District, Beijing, China. Electronic address: Lzx1967@sina.com.
authors.forename: Zhi-Xiong
authors.initials: ZX
authors.lastname: Lin
mesh_terms: D000375:Aging; D001932:Brain Neoplasms / Q000145:classification* / Q000175:diagnosis* / Q000401:mortality; D005260:Female; D005500:Follow-Up Studies; D007839:Functional Laterality; D005910:Glioma / Q000145:classification* / Q000175:diagnosis* / Q000401:mortality; D006801:Humans; D053208:Kaplan-Meier Estimate; D008297:Male; D011379:Prognosis; D016016:Proportional Hazards Models
keywords: Age; High-grade glioma; Multivariate analysis; Prognosis; Univariate analysis