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预测小脑胶质瘤患者总生存期的列线图:监测、流行病学和最终结果(SEER)数据库分析。

Nomograms for predicting the overall survival of patients with cerebellar glioma: an analysis of the surveillance epidemiology and end results (SEER) database.

机构信息

Neurosurgery, Dalang Hospital, Dongguan, 523770, Guangdong, China.

出版信息

Sci Rep. 2021 Sep 29;11(1):19348. doi: 10.1038/s41598-021-98960-3.

DOI:10.1038/s41598-021-98960-3
PMID:34588593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8481460/
Abstract

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.

摘要

目前,我们对小脑胶质瘤的认识仍然不足。本研究通过收集 SEER 数据库中患者的信息,确定影响小脑胶质瘤患者预后的预测因素。从 Surveillance Epidemiology and End Results Database 中检索了 1975 年至 2018 年间诊断为小脑胶质瘤的患者的数据。我们将患者随机分为训练组和验证组,基于训练组建立列线图,并使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。基于随机分组前的数据进行多因素分析,结果显示患者年龄、WHO 分级、组织学类型和肿瘤扩展程度与生存率显著相关。训练队列 OS 列线图的 C 指数为 0.909(95%CI:0.880-0.938),验证队列为 0.932(95%CI:0.889-0.975)。OS 3 年和 5 年的校准曲线表明,实际生存概率与预测生存概率之间具有良好的一致性。对于小脑胶质瘤患者,诊断时的年龄、胶质瘤的 WHO 分级、组织学类型和肿瘤扩展程度是影响总体生存结局的四个最重要的因素。此外,我们的模型可能是预测这些患者 OS 的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/0984f7a65e6a/41598_2021_98960_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/c330bc70865e/41598_2021_98960_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/ed4f37273ade/41598_2021_98960_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/5bee29f28878/41598_2021_98960_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/9e155e0ed4f8/41598_2021_98960_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/0984f7a65e6a/41598_2021_98960_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/c330bc70865e/41598_2021_98960_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/ed4f37273ade/41598_2021_98960_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/5bee29f28878/41598_2021_98960_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/9e155e0ed4f8/41598_2021_98960_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8481460/0984f7a65e6a/41598_2021_98960_Fig5_HTML.jpg

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