Tan Xiaojun, Wang Jinkui, Tang Jie, Tian Xiaomao, Jin Liming, Li Mujie, Zhang Zhaoxia, He Dawei
Department of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Department of Urology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical University, Nanchong, China.
Front Public Health. 2022 Apr 7;10:829840. doi: 10.3389/fpubh.2022.829840. eCollection 2022.
Wilms tumor (WT) is the most common tumor in children. We aim to construct a nomogram to predict the cancer-specific survival (CSS) of WT in children and externally validate in China.
We downloaded the clinicopathological data of children with WT from 2004 to 2018 in the SEER database. At the same time, we used the clinicopathological data collected previously for all children with WT between 2013 and 2018 at Children's Hospital of Chongqing Medical University (Chongqing, China). We analyzed the difference in survival between the patients in the SEER database and our hospital. Cox regression analysis was used to screen for significant risk factors. Based on these factors, a nomogram was constructed to predict the CSS of children with WT. Calibration curve, concordance index (C-index), the area under the receiver operating curve (AUC) and decision curve analysis (DCA) was used to evaluate the accuracy and reliability of the model.
We included 1,045 children with WT in the SEER database. At the same time, we collected 112 children with WT in our hospital. The Kaplan-Meier curve suggested that children in China with WT had a higher mortality rate than those in the United States. Cox regression analysis revealed that age, lymph node density (LND), and tumor stage were significant prognostic factors for the patients in the SEER database. However, the patients in our hospital only confirmed that the tumor stage and the number of positive regional lymph nodes were significant factors. The prediction model established by the SEER database had been validated internally and externally to prove that it had good accuracy and reliability.
We have constructed a survival prognosis prediction model for children with WT, which has been validated internally and externally to prove accuracy and reliability.
肾母细胞瘤（WT）是儿童最常见的肿瘤。我们旨在构建一个列线图，以预测中国儿童WT的癌症特异性生存率（CSS）并进行外部验证。
我们从监测、流行病学和最终结果（SEER）数据库中下载了2004年至2018年儿童WT的临床病理数据。同时，我们使用了重庆医科大学附属儿童医院（中国重庆）先前收集的2013年至2018年期间所有儿童WT的临床病理数据。我们分析了SEER数据库中的患者与我院患者生存率的差异。采用Cox回归分析筛选显著危险因素。基于这些因素，构建列线图以预测儿童WT的CSS。使用校准曲线、一致性指数（C指数）、受试者操作特征曲线下面积（AUC）和决策曲线分析（DCA）来评估模型的准确性和可靠性。
我们在SEER数据库中纳入了1045例儿童WT患者。同时，我们在我院收集了112例儿童WT患者。Kaplan-Meier曲线表明，中国WT儿童的死亡率高于美国。Cox回归分析显示，年龄、淋巴结密度（LND）和肿瘤分期是SEER数据库中患者的显著预后因素。然而，我院患者仅证实肿瘤分期和区域淋巴结阳性数目是显著因素。由SEER数据库建立的预测模型已在内部和外部得到验证，证明其具有良好的准确性和可靠性。
我们构建了儿童WT的生存预后预测模型，该模型已在内部和外部得到验证，证明了其准确性和可靠性。
