Prognosis of Oligodendroglioma Patients Stratified by Age: A SEER Population-Based Analysis

Glioma may affect patients of any age. So far, only a limited number of big data studies have been conducted concerning oligodendroglioma (OG) in diverse age groups. This study evaluated the risk factors for OG in different age groups using the Surveillance, Epidemiology, and End Results (SEER) data...

Full description

Saved in:
Bibliographic Details
Published in:International journal of general medicine 2021-01, Vol.14, p.9523-9536
Main Authors: Jin, Kai, Zhang, Shu-Yuan, Li, Li-Wen, Zou, Yang-Fan, Wu, Bin, Xia, Liang, Sun, Cai-Xing
Format: Article
Language:English
Subjects:
age
Age groups
all-cause mortality
Analysis
Bone marrow
Brain cancer
Epidemiology
Gender
Health aspects
Medical prognosis
Medical research
Medicine, Experimental
Mortality
Mutation
Nomograms
oligodendroglioma
Original Research
Patients
prognosis
Regression analysis
Risk factors
seer
Software
Statistical analysis
Surgery
Survival analysis
tumor-specific mortality
Tumors
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Glioma may affect patients of any age. So far, only a limited number of big data studies have been conducted concerning oligodendroglioma (OG) in diverse age groups. This study evaluated the risk factors for OG in different age groups using the Surveillance, Epidemiology, and End Results (SEER) database built by the National Cancer Institute, which is part of the National Institutes of Health. A total of 5437 cases within the SEER database were included. These patients were divided into seven age groups. The Kaplan-Meier method was employed for survival analysis. The independent risk factors for the survival of OG patients were identified using the Cox regression model. A nomogram was drawn with R software based on the independent risk factors. The X-tile software was adopted to find the optimal age group at diagnosis. The all-cause mortality and the tumor-specific mortality increased with age. The univariate analysis showed that the patients' age, gender, primary lesion location, side affected by the primary lesion (left or right), surgery for the primary lesion, and tumor size were correlated with survival (P
ISSN:1178-7074
1178-7074
DOI:10.2147/IJGM.S337227