列线图
医学
单变量
一致性
比例危险模型
肿瘤科
多元分析
多元统计
阶段(地层学)
单变量分析
内科学
癌
子宫内膜癌
癌症
统计
数学
古生物学
生物
摘要
To construct and validate a nomogram for patients with endometrial carcinoma to predict the 3- and 5-year overall survival (OS) based on the Surveillance, Epidemiology, and End Results (SEER) database.Demographic and clinical pathologic characteristics of patients with endometrial carcinoma diagnosed between 1973 and 2015 were extracted from the SEER database. Univariate and multivariate Cox analyses were carried out to identify the independent characteristics and further included into the construction of a nomogram. Finally, concordance index and calibration curves were used to validate the nomogram.A total of 49 844 patients were enrolled into our analysis. The results of univariate Cox analysis showed that age, race, marital status, FIGO Stage, grade, and metastatic status to bone, brain, lung, or liver were significant factors. Multivariate Cox analysis was performed and it confirmed all factors as independent variables. Next, a nomogram was constructed using these independent variables in prediction of the 3- and 5-year OS. Furthermore, results with concordance indices (0.852 in training set and 0.861 in validation set) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram.The individualized nomogram demonstrated a good ability in prognostic prediction for patients with endometrial carcinoma.
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