Cancer Center, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China.
Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, China.
World Neurosurg. 2024 Apr;184:e307-e316. doi: 10.1016/j.wneu.2024.01.120. Epub 2024 Feb 1.
The aim of this study was to develop a prognostic nomogram for predicting the prognosis of oligodendroglioma patients receiving combined chemoradiotherapy (CRT) after surgery.
The study used data from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2019. The patients were randomly divided into a development cohort (700 patients) and a validation cohort (244 patients) in a 7:3 ratio. The Cox hazards regression model was used to identify predictors, and a nomogram was constructed to visualize the prognosis. The performance of the prognostic nomogram was evaluated using the consistency index (C-index), clinical net benefit, and calibration.
The nomogram included 5 variables: age, marital status, tumor size, site of lesions, and surgery type. The C-index of the training set and validation set were 0.77 and 0.68, respectively. The calibration plots showed that the nomogram was in good agreement with the actual observation. The clinical decision curve indicated that the nomogram had a good clinical net benefit in oligodendroglioma patients receiving CRT after surgery.
This study established and verified a prognostic nomogram for a large cohort of oligodendroglioma patients receiving CRT after surgery based on the SEER database. The nomogram may help clinicians provide personalized treatment services and clinical decisions for patients.
本研究旨在开发一个列线图，用于预测接受手术联合放化疗（CRT）的少突胶质细胞瘤患者的预后。
本研究使用了 2000 年至 2019 年期间监测、流行病学和最终结果（SEER）数据库的数据。患者以 7:3 的比例随机分为开发队列（700 例）和验证队列（244 例）。采用 Cox 风险回归模型识别预测因素，并构建列线图可视化预后。采用一致性指数（C 指数）、临床净获益和校准来评估预后列线图的性能。
该列线图包括 5 个变量：年龄、婚姻状况、肿瘤大小、病变部位和手术类型。训练集和验证集的 C 指数分别为 0.77 和 0.68。校准图显示列线图与实际观察结果吻合良好。临床决策曲线表明，该列线图在接受 CRT 治疗后的少突胶质细胞瘤患者中有较好的临床净获益。
本研究基于 SEER 数据库，为接受手术联合 CRT 治疗的大量少突胶质细胞瘤患者建立并验证了一个预后列线图。该列线图可能有助于临床医生为患者提供个性化的治疗服务和临床决策。
