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Review
. 2022 Nov 25;101(47):e32042.
doi: 10.1097/MD.0000000000032042.

Clinical characteristics and prognosis of patients with glioblastoma: A review of survival analysis of 1674 patients based on SEER database

Ligang Chen  1 , Jing Ma  2 , Zheng Zou  1 , Hongzhe Liu  1 , Chenxin Liu  3 , Shun Gong  1 , Xu Gao  1 , Guobiao Liang  1
Affiliations
Review

Clinical characteristics and prognosis of patients with glioblastoma: A review of survival analysis of 1674 patients based on SEER database

Ligang Chen et al. Medicine (Baltimore). .

Abstract

Background: To fully understand the clinical features and prognosis of Glioblastoma (GBM), we extracted the data from the Surveillance, Epidemiology, and End Results (SEER) database and performed a series of analyses.

Methods: We retrospectively analyzed the data of 1674 patients with GBM obtained from the SEER database from 1983 to 2015. Kaplan-Meier analysis was performed to calculate the survival rate, and the log-rank test was used to analyze the survival outcomes.

Results: Older patients with GBM had a worse survival period (P < .05). Laterality had no effect on the prognosis (P > .05). Patients with high-grade gliomas may have a shorter lifespan (P < .05). In terms of overall survival (OS) and disease specificity, all 3 classical treatments failed to improve the life expectancy (P > .05). In adult patients with GBM, we found that age, tumor grade, surgery, radiotherapy, and chemotherapy were independent risk factors for all-cause mortality. In the univariate disease-specific analysis, age, tumor grade, surgery, radiotherapy, and chemotherapy were independent risk factors. However, in multivariate disease-specific analysis, the results showed that only tumor grade and surgery were independent risk factors for GBM.

Conclusions: Older patients diagnosed with GBM have worse survival, and patients with glioma of higher grades have a shorter lifespan. Age, grade, surgery, radiation therapy, and chemotherapy were independent prognostic factors for patients with GBM.

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Conflict of interest statement

The authors have no funding and conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
The flowchart of data identification process.
Figure 2.
Figure 2.
The influence of clinical and therapeutic variables on OS survival of GBM. (A) OS and numbers of risks of the total 1674 cases; (B) OS survival curve on age group; (C) OS survival curve on laterality; (D) OS survival curve on grade; (E) OS survival curve on radiation therapy; (F) OS survival curve on chemotherapy; (G) OS survival curve on surgery. GBM = glioblastoma, OS = overall survival.
Figure 3.
Figure 3.
The influence of clinical and therapeutic variables on DSS survival of GBM. (A) DSS and numbers of risks of the total 1674 cases; (B) OS survival curve on age group; (C) OS survival curve on grade; (D) OS survival curve on surgery; (E) OS survival curve on radiation therapy; (F) OS survival curve on chemotherapy. DSS = disease specific survival, GBM = glioblastoma, OS = overall survival.
See this image and copyright information in PMC

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