Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, PR China.
School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Future Oncol. 2019 Sep;15(26):3033-3045. doi: 10.2217/fon-2019-0029. Epub 2019 Aug 27.
To integrate multiple independent risk factors to establish prognostic nomograms for better predicting overall survival and disease-specific survival in patients with cervical cancer receiving radiation therapy. Cox analysis used to construct nomograms. The C-index, time-dependent receiver operating characteristic and calibration plots were used to evaluate the performance. The discrimination abilities were compared using the decision curve analysis, net reclassification improvement and integrated discrimination improvement. After randomization, 2869 and 1230 cervical cancer patients were included in the training and validation sets, respectively. Nomograms that incorporated all of the significant independent factors for predicting the 3- and 5-year overall survival and disease-specific survival in the training cohort were established. Compared with the International Federation of Gynecology and Obstetrics staging system, the proposed nomograms exhibit superior prognostic discrimination and survival prediction.
为了整合多个独立的风险因素，建立列线图以更好地预测接受放疗的宫颈癌患者的总生存率和疾病特异性生存率。使用 Cox 分析构建列线图。C 指数、时间依赖性接收者操作特征和校准图用于评估性能。使用决策曲线分析、净重新分类改善和综合判别改善来比较判别能力。经过随机化，2869 例和 1230 例宫颈癌患者分别纳入训练集和验证集。在训练队列中建立了包含所有预测 3 年和 5 年总生存率和疾病特异性生存率的显著独立因素的列线图。与国际妇产科联合会分期系统相比，所提出的列线图具有更好的预后判别和生存预测能力。
