医学
列线图
监测、流行病学和最终结果
比例危险模型
内科学
肿瘤科
危险系数
生存分析
队列研究
队列
置信区间
多元分析
总体生存率
回顾性队列研究
胶质瘤
接收机工作特性
流行病学
癌症
单变量分析
逻辑回归
存活率
人口
癌症登记处
癌症研究
作者
Yuhan Xia,Weitang Liao,Shaozhuo Huang,Zhicheng Liu,Xiaowen Huang,Yang Chen,Chao Ye,Yingjie Jiang,Jun Wang
出处
期刊:Turkish Neurosurgery
[Turkish Neurosurgical Society]
日期:2019-01-01
被引量:7
标识
DOI:10.5137/1019-5149.jtn.26131-19.2
摘要
To predict the overall survival (OS) and the cancer-specific survival (CSS) of patients with high-grade glioma (HGG) using nomograms and the surveillance, epidemiology, and end results (SEER) database (2000-2013).A total of 3706 patients with high-grade glioma were identified by the SEER database (2000-2013). Based on the relevant information of these patients, we divided the primary cohort into a training cohort (n=3336) and a validation cohort (n=370). The nomograms were constructed by the training cohort and corroborated by the validation cohort.According to the multivariate analysis of the training cohort, the nomograms of OS and CSS indicated that patient age at diagnosis, laterality, radiation, and the extent of resection are significantly correlated with the survival rate. The c-indexes of the nomograms of OS and CSS of the training cohort are 0.682 [95% confidence interval (CI): 0.671-0.693] and 0.678 (95%CI: 0.666- 0.690), respectively. The calibration curve plots of 1- and 3-year OS and CSS showed that the nomogram predictions are consistent with the observed outcomes for both the training and validation cohorts.Based on the data obtained, we established a scoring model to predict the OS and the CSS of patients with HGG. All calibration curves showed high consistency between the predicted and actual survival.
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