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A multivariate retrospective analysis of high‐grade gliomas: Survival and prognostic factors

Authors :
Weiyan Shi
Xuanzhong Wang
Shiyu Liu
Zhuangzhuang Zheng
Lihua Dong
Xin Jiang
Source :
Cancer Medicine, Vol 13, Iss 15, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Objectives High‐grade gliomas (HGGs) are highly malignant, aggressive, and have a high incidence and mortality rate. The aim of this study was to investigate survival outcomes and prognostic factors in patients with HGGs. Methods In this retrospective study, a total of 159 patients with histologically confirmed HGGs were included. The recruitment period was from January 2011 to December 2019. We evaluated patient demographic data, tumor characteristics, treatment methods, immunocytochemistry results, overall survival (OS) time, and progression‐free survival (PFS) time using Kaplan–<>Meier survival analysis with log‐rank testing. Additionally, we employed Cox regression analysis to identify independent factors associated with survival outcomes. Results Kaplan–Meier survival analysis revealed that the 1‐, 2‐, and 5‐years OS rates were 81.8%, 50.3%, and 12.6%, respectively. Similarly, the 1‐, 2‐, and 5‐years PFS rates were 50.9%, 22.4%, and 3.1%, respectively. The median OS duration was 35.0 months. The univariate analysis indicated that postoperative pathological classification, grade, and age were significantly associated with patient outcomes (p

Details

Language :
English
ISSN :
20457634
Volume :
13
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Cancer Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.8451c53142304c51b1311d203311bf5b
Document Type :
article
Full Text :
https://doi.org/10.1002/cam4.7456