Literature DB >> 26143529

The influence of different classification standards of age groups on prognosis in high-grade hemispheric glioma patients.

Jian-Wu Chen1, Chang-Fu Zhou1, Zhi-Xiong Lin2.   

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.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Age; High-grade glioma; Multivariate analysis; Prognosis; Univariate analysis

Mesh:

Year:  2015        PMID: 26143529     DOI: 10.1016/j.jns.2015.06.036

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  3 in total

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Authors:  Xingwang Zhou; Xiaodong Niu; Qing Mao; Yanhui Liu
Journal:  Med Sci Monit       Date:  2020-05-30

2.  Exploring the relationship between age and prognosis in glioma: rethinking current age stratification.

Authors:  Zetian Jia; Xiaohui Li; Yaqi Yan; Xuxuan Shen; Jiuxin Wang; He Yang; Shuo Liu; Chengxi Han; Yuhua Hu
Journal:  BMC Neurol       Date:  2022-09-15       Impact factor: 2.903

3.  Mutant-allele tumor heterogeneity in malignant glioma effectively predicts neoplastic recurrence.

Authors:  Pengfei Wu; Wei Yang; Jianxing Ma; Jingyu Zhang; Maojun Liao; Lunshan Xu; Minhui Xu; Liang Yi
Journal:  Oncol Lett       Date:  2019-10-11       Impact factor: 2.967

  3 in total

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