Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China.
Department of Oncology, Jining Cancer Hospital, Jining, PR China.
Future Oncol. 2020 Apr;16(10):573-584. doi: 10.2217/fon-2019-0674. Epub 2020 Mar 6.
To establish and validate a nomogram for the estimation of overall survival of patients with uterine leiomyosarcoma (uLMS). Information on patients diagnosed as uLMS was retrospectively retrieved from the Surveillance, Epidemiology, and End Results database. The patients were randomly assigned into the training and the validation cohorts. Univariate and multivariate analyses were used to determine the independent prognostic factors for building a nomogram for predicting overall survival. The predictive accuracy was evaluated based on the concordance indices and the calibration plots. A nomogram that combined age, marital status, tumor size, Surveillance, Epidemiology, and End Result stage, surgery and radiation was established. The internal and external concordance indices were 0.748 and 0.745, respectively. The calibration plots approached 45 degrees. The nomogram might be an effective tool for predicting the survival of patients with uLMS.
建立并验证用于评估子宫平滑肌肉瘤（uLMS）患者总生存的列线图。从监测、流行病学和最终结果数据库中回顾性检索诊断为 uLMS 的患者信息。将患者随机分配到训练和验证队列中。使用单因素和多因素分析确定建立预测总生存的列线图的独立预后因素。基于一致性指数和校准图评估预测准确性。建立了一个结合年龄、婚姻状况、肿瘤大小、监测、流行病学和最终结果分期、手术和放疗的列线图。内部和外部一致性指数分别为 0.748 和 0.745。校准图接近 45 度。该列线图可能是预测 uLMS 患者生存的有效工具。
