PDF(Pubmed)
Abstract：
UNASSIGNED: The aim of this study was to investigate the risk factors of postmenopausal special uterine leiomyoma pathological types or leiomyosarcoma and to develop a nomogram for clinical risk assessment, ultimately to reduce unnecessary surgical interventions and corresponding economic expenses.
UNASSIGNED: A total of 707 patients with complete information were enrolled from 1 August 2012 to 1 August 2022. Univariate and multivariate logistic regression models were used to analyse the association between variables and special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. A nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients was developed and validated by bootstrap resampling. The calibration curve was used to assess the accuracy of the model and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were compared with the clinical experience model.
UNASSIGNED: The increasing trend after menopause, the diameter of the largest uterine fibroid, serum carcinoembryonic antigen 125 concentration, Serum neutrophil to lymphocyte ratio, and Serum phosphorus ion concentration were independent risk factors for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. We developed a user-friendly nomogram which showed good diagnostic performance (AUC=0.724). The model was consistent and the calibration curve of our cohort was close to the ideal diagonal line. DCA indicated that the model has potential value for clinical application. Furthermore, our model was superior to the previous clinical experience model in terms of ROC and DCA.
UNASSIGNED: We have developed a prediction nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. This nomogram could serve as an important warning signal and evaluation method for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients.
UNASSIGNED: A total of 707 patients with complete information were enrolled from 1 August 2012 to 1 August 2022. Univariate and multivariate logistic regression models were used to analyse the association between variables and special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. A nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients was developed and validated by bootstrap resampling. The calibration curve was used to assess the accuracy of the model and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were compared with the clinical experience model.
UNASSIGNED: The increasing trend after menopause, the diameter of the largest uterine fibroid, serum carcinoembryonic antigen 125 concentration, Serum neutrophil to lymphocyte ratio, and Serum phosphorus ion concentration were independent risk factors for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. We developed a user-friendly nomogram which showed good diagnostic performance (AUC=0.724). The model was consistent and the calibration curve of our cohort was close to the ideal diagonal line. DCA indicated that the model has potential value for clinical application. Furthermore, our model was superior to the previous clinical experience model in terms of ROC and DCA.
UNASSIGNED: We have developed a prediction nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. This nomogram could serve as an important warning signal and evaluation method for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients.
摘要：
■这项研究的目的是调查绝经后特殊子宫平滑肌瘤病理类型或平滑肌肉瘤的危险因素，并制定临床风险评估的列线图，最终减少不必要的手术干预和相应的经济支出。
■从2012年8月1日至2022年8月1日，共招募了707名具有完整信息的患者。采用单因素和多因素logistic回归模型分析绝经后子宫平滑肌瘤病理类型和平滑肌肉瘤的相关性。制定了绝经后患者特殊子宫平滑肌瘤病理类型或平滑肌肉瘤的列线图，并通过自举重新采样进行了验证。使用校准曲线评估模型的准确性，并将受试者工作特征（ROC）曲线和决策曲线分析（DCA）与临床经验模型进行比较。
■绝经后的增加趋势，最大的子宫肌瘤的直径，血清癌胚抗原125浓度，血清中性粒细胞与淋巴细胞比率，血清磷离子浓度是绝经后子宫肌瘤特殊病理类型或平滑肌肉瘤的独立危险因素。我们开发了一个用户友好的列线图，显示出良好的诊断性能（AUC=0.724）。模型是一致的，我们队列的校准曲线接近理想的对角线。DCA表明该模型具有潜在的临床应用价值。此外，我们的模型在ROC和DCA方面优于以前的临床经验模型.
■我们开发了绝经后患者特殊子宫平滑肌瘤病理类型或平滑肌肉瘤的预测列线图。此列线图可作为绝经后子宫平滑肌瘤特殊病理类型或平滑肌肉瘤的重要预警信号和评估方法。
■从2012年8月1日至2022年8月1日，共招募了707名具有完整信息的患者。采用单因素和多因素logistic回归模型分析绝经后子宫平滑肌瘤病理类型和平滑肌肉瘤的相关性。制定了绝经后患者特殊子宫平滑肌瘤病理类型或平滑肌肉瘤的列线图，并通过自举重新采样进行了验证。使用校准曲线评估模型的准确性，并将受试者工作特征（ROC）曲线和决策曲线分析（DCA）与临床经验模型进行比较。
■绝经后的增加趋势，最大的子宫肌瘤的直径，血清癌胚抗原125浓度，血清中性粒细胞与淋巴细胞比率，血清磷离子浓度是绝经后子宫肌瘤特殊病理类型或平滑肌肉瘤的独立危险因素。我们开发了一个用户友好的列线图，显示出良好的诊断性能（AUC=0.724）。模型是一致的，我们队列的校准曲线接近理想的对角线。DCA表明该模型具有潜在的临床应用价值。此外，我们的模型在ROC和DCA方面优于以前的临床经验模型.
■我们开发了绝经后患者特殊子宫平滑肌瘤病理类型或平滑肌肉瘤的预测列线图。此列线图可作为绝经后子宫平滑肌瘤特殊病理类型或平滑肌肉瘤的重要预警信号和评估方法。
