Nomograms for predicting the overall survival of patients with cerebellar glioma: an analysis of the surveillance epidemiology and end results (SEER) database.
Nomograms for predicting the overall survival of patients with cerebellar glioma: an analysis of the surveillance epidemiology and end results (SEER) database.
复制标题
DOI：
10.1038/s41598-021-98960-3
复制
发表时间：
2021-09-29
影响因子：
4.6
通讯作者：
Zhang J
中科院分区：
文献类型：
--
作者：
Li J;Huang W;Chen J;Li Z;Liu B;Wang P;Zhang J
目前，我们对小脑胶质瘤的认识还不够充分。本研究收集了SEER数据库中患者的信息，以确定小脑胶质瘤患者的预测因素。从监测流行病学和最终结果数据库中检索1975年至2018年诊断的小脑胶质瘤患者的数据。我们将患者随机分为训练组和验证组，以训练组为基础建立nomogram，并利用验证组数据验证模型的临床价值。本研究共纳入508例患者。根据随机化前的数据进行多因素分析，结果显示患者的年龄、WHO分级、组织学类型、程度与生存率有显著相关。验证组训练队列OS模态图c指数分别为0.909 （95% CI,(0.880-0.938)）和0.932 （95% CI,(0.889-0.975)）。3年和5年的OS校准曲线显示，实际生存概率与预测生存概率具有较好的一致性。对于小脑胶质瘤患者，诊断年龄、胶质瘤的WHO分级、组织学类型和扩展是影响总体生存结果最强烈的四个因素。此外，我们的模型可能是预测这些患者的OS的有用工具。
At present, our understanding of cerebellar glioma is still insufficient. This study collected information on patients in the SEER database to identify the predictive factors for patients with cerebellar glioma. Data from patients with cerebellar glioma diagnosed from 1975 to 2018 were retrieved from the Surveillance Epidemiology and End Results Database. We randomly divided the patients into a training group and a validation group, established a nomogram based on the training group, and used the validation group data to verify the clinical value of the model. A total of 508 patients were included in this study. Multivariate analysis was performed based on the data before randomization, and the results showed that the patient's age, WHO grade, histological type, and extent were significantly correlated with the survival rate. The C-index of the OS nomograms of the training cohort was 0.909 (95% CI, (0.880–0.938)) and 0.932 (95% CI, (0.889–0.975)) in the validation group. The calibration curve of OS for 3 and 5 years showed that there was good consistency between the actual survival probability and the predicted survival probability. For patients with cerebellar glioma, the age at diagnosis, WHO grade of the glioma, histological type, and extension are the four factors that most strongly affect the overall survival outcomes. Furthermore, our model may be a useful tool for predicting OS in these patients.
登录
查看更多内容
影响因子：
2.9
作者：
Zhao M;Guo LL;Huang N;Wu Q;Zhou L;Zhao H;Zhang J;Fu K
通讯作者：
Fu K
DOI：
10.1016/0360-3016(81)90189-9
发表时间：
1981-01-01
影响因子：
7
作者：
SALAZAR, OM
通讯作者：
SALAZAR, OM
影响因子：
1.4
作者：
Mattos, João Paulo;Marenco, Horacio Armando;Oliveira, Evandro de
通讯作者：
Oliveira, Evandro de
影响因子：
2
作者：
Chandra, Ankush;Lopez-Rivera, Victor;Esquenazi, Yoshua
通讯作者：
Esquenazi, Yoshua
DOI：
10.1016/j.ijrobp.2006.04.035
发表时间：
2006-09-01
影响因子：
7
作者：
Weber, Damien C.;Miller, Robert C.;Mirimanoff, Rene O.
通讯作者：
Mirimanoff, Rene O.