上皮性卵巢癌（EOC）是老年患者中最致命的妇科恶性肿瘤之一。我们旨在构建两个判定老年EOC患者整体生存率（OS）和癌症特异性生存率（CSS）的正常图表。从监测、流行病学和最终结果（SEER）数据库中选择了2000年至2019年间的老年EOC患者。选拔出的患者被随机分为训练和验证组，比例为2:1。 OS和CSS被认为是终点时间。从多变量分析中独立的预后因素被用于建立预测老年EOC患者3、5和10年OS和CSS的正常图表。一致指数（C-index）、受试者工作特征曲线（ROC）、校准曲线、决策曲线（DCA）、净重新分类改进（NRI）和综合判别改进(IDI)被用于评估预测能力和临床疗效。最后，手术和化疗在低风险、中风险和高风险组中的治疗效果由卡帕兰-迈耶曲线显示。收集了5588名老年EOC患者并随机分配给训练组（n=3724）和验证组(n=1864)。利用独立预后因素构建了OS和CSS的正常图表。也开发了动态正常图表。在训练队列中，OS正常图表和CSS正常图表的C指数分别为0.713和0.729。在验证队列中，OS和CSS正常图表的C指数分别为0.751和0.702。校准曲线显示预测生存率和实际观察之间的一致性良好。此外，NRI、IDI和DCA曲线确定了正常图表相对于AJCC分期系统的表现。此外，局部肿瘤切除对所有患者的预后有更高的益处。化疗在高风险组中有更好的预后，但中风险和低风险组则不然。我们开发和验证了用于预测老年EOC患者OS和CSS的正常图表，以帮助妇科医生制定适当的个性化治疗计划。 © 2023年作者。

Epithelial ovarian cancer (EOC) is one of the most fatal gynecological malignancies among elderly patients. We aim to construct two nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) in elderly EOC patients.Elderly patients with EOC between 2000 and 2019 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Enrolled patients were randomly divided into the training and validation set at a ratio of 2:1. The OS and CSS were recognized as endpoint times. The independent prognostic factors from the multivariate analysis were used to establish nomograms for predicting the 3-, 5- and 10-year OS and CSS of elderly EOC patients. The improvement of predictive ability and clinical benefits were evaluated by consistency index (C-index), receiver operating characteristic (ROC), calibration curve, decision curve (DCA), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Finally, the treatment efficacy of surgery and chemotherapy in low-, medium-, and high-risk groups were displayed by Kaplan-Meier curves.Five thousand five hundred eighty-eight elderly EOC patients were obtained and randomly assigned to the training set (n = 3724) and validation set (n = 1864). The independent prognostic factors were utilized to construct nomograms for OS and CSS. Dynamic nomograms were also developed. The C-index of the OS nomogram and CSS nomogram were 0.713 and 0.729 in the training cohort. In the validation cohort, the C-index of the OS nomogram and CSS nomogram were 0.751 and 0.702. The calibration curve demonstrated good concordance between the predicted survival rates and actual observations. Moreover, the NRI, IDI, and DCA curves determined the outperformance of the nomogram compared with the AJCC stage system. Besides, local tumor resection had a higher benefit on the prognosis in all patients. Chemotherapy had a better prognosis in the high-risk groups, but not for the medium- risk and low-risk groups.We developed and validated nomograms for predicting OS and CSS in elderly EOC patients to help gynecologists to develop an appropriate individualized therapeutic schedule.© 2023. The Author(s).