Yu-Jie Lu1, Han Wang2, Lin-Yan Fang3, Wen-Jie Wang4, Wei Song5, Ying Wang6, Yue-Qing Huang3, Zhi-Liang Din7. 1. Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China. 2. Department of Oncology, Jining Cancer Hospital, Jining, PR China. 3. Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, PR China. 4. Department of Radio-Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, PR China. 5. Department of Intervention & Vascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, PR China. 6. Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, PR China. 7. Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, PR China.
Abstract
Aim: To establish and validate a nomogram for the estimation of overall survival of patients with uterine leiomyosarcoma (uLMS). Methods: 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. Results: 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. Conclusion: The nomogram might be an effective tool for predicting the survival of patients with uLMS.
RCT Entities:
Aim: To establish and validate a nomogram for the estimation of overall survival of patients with uterine leiomyosarcoma (uLMS). Methods: 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. Results: 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. Conclusion: The nomogram might be an effective tool for predicting the survival of patients with uLMS.