Chen Jingya, Wang Xiaorong, Xu Qinfeng, Zhang Wei, Chen Hu, Gu Hailei, Tang Wenwei, Tian Ying, Wang Zhongqiu
Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Taixing People's Hospital. Taizhou, China.
Heliyon. 2024 Mar 29;10(7):e28864. doi: 10.1016/j.heliyon.2024.e28864. eCollection 2024 Apr 15.
The main objective of this study was to identify the key predictors and construct a nomogram that can be used to predict the overall survival of individuals with non-endometrioid endometrial cancer.
A total of 2686 non-endometrioid endometrial cancer patients confirmed between 1988 and 2018 were selected from the Surveillance, Epidemiology, and End Results database. They were divided into a training cohort and an internal validation cohort. Independent risk factors were chosen by Cox regression analyses. A predictive nomogram model for overall survival was constructed based on above factors. A Chinese cohort of 41 patients was collected to be an external validation cohort.
Eight variables were estimated as independent predictors for overall survival. A nomogram was established using these factors. The -index for predicting the overall survival of patients with non-endometrioid endometrial cancer from the nomogram was 0.734, 0.700, and 0.767 in training, internal, and external validation cohort, respectively. Calibration plots and decision curve analysis showed that the nomogram was valuable for further clinical application.
We constructed a nomogram which can be used as an effective tool to predict the 3- and 5-year overall survival of Non-endometrioid endometrial cancer patients.
本研究的主要目的是确定关键预测因素并构建一个列线图，用于预测非子宫内膜样子宫内膜癌患者的总生存期。
从监测、流行病学和最终结果数据库中选取1988年至2018年间确诊的2686例非子宫内膜样子宫内膜癌患者。将他们分为训练队列和内部验证队列。通过Cox回归分析选择独立危险因素。基于上述因素构建总生存期的预测列线图模型。收集41例中国患者队列作为外部验证队列。
八个变量被确定为总生存期的独立预测因素。使用这些因素建立了一个列线图。该列线图预测非子宫内膜样子宫内膜癌患者总生存期的C指数在训练队列、内部验证队列和外部验证队列中分别为0.734、0.700和0.767。校准图和决策曲线分析表明，该列线图对进一步的临床应用具有价值。
我们构建了一个列线图，可作为预测非子宫内膜样子宫内膜癌患者3年和5年总生存期的有效工具。
