预测IV期肾细胞癌患者总生存期和癌症特异性生存期的nomogram:一项基于SEER人群的研究

Yongfei Tang, Jingping Yuan , Yabing Huang, Honglin Yan, Lin Liu, Na Zhan, Huihua He
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摘要

背景:本研究的目的是通过构建肾细胞癌(RCC) IV期患者的形态图,探索预测1、3、5年总生存期(OS)和癌症特异性生存期(CSS)的独立有利预后因素。方法:将2010 - 2015年诊断为IV期RCC的2636例患者纳入监测、流行病学和最终结果数据库。采用多因素Cox风险回归和竞争风险分析寻找预后因素。构建nomogram用于预测OS和CSS的1-、3-和5年。采用一致性指数(C-index)和标定曲线评价图的鉴别性和准确性。结果:通过单因素和多因素分析,年龄、肾切除术、组织学、N分期和脑/肝/肺转移被确定为OS和CSS的独立预后有利因素。其他变量根据临床实践和净再分类改善(NRI)进一步选择。最后,选择年龄、肾切除术、组织学、肿瘤分级、肿瘤大小、T分期、N分期和骨/脑/肝/肺转移来构建形态图。OS和CSS在nomogram C-index分别为0.697(95%置信区间为0.683-0.711)和0.655(95%置信区间为0.639-0.671)。标定曲线显示了模态图预测值与实际观测值的高度一致性。结论:nomographic可帮助临床医生方便地预测IV期RCC患者的生存,并为选择合适的治疗方案提供指导。
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Nomograms for predicting overall survival and cancer-specific survival of patients with stage IV renal cell carcinoma: A SEER population-based study

Background: The purpose of this study was to explore independent favorable prognostic factors for predicting 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV cell renal cell carcinoma (RCC) by constructing nomograms. Methods: A total of 2636 patients diagnosed with stage IV RCC from 2010 to 2015 were enrolled in the surveillance, epidemiology, and end results database. Multivariate Cox hazard regression and competing risk analysis were used for searching prognosis factors in the cohort. The nomograms were constructed for predicting 1-, 3-, and 5-year of OS and CSS. Concordance index (C-index) and the calibration curves were used to evaluate the discrimination and accuracy of the nomograms. Results: Age, nephrectomy, histology, N stage, and brain/liver/lung metastasis were identified as independent favorable prognostic factors in OS and CSS via univariate and multivariate analyses. Other variables were further selected by clinical practice and net reclassification improvement (NRI). Finally, age, nephrectomy, histology, grade, tumor size, T stage, N stage, and bone/brain/liver/lung metastasis were chosen to construct nomograms. The C-index of the OS and CSS in nomograms were 0.697 (95% confidence interval (CI), 0.683-0.711) and 0.655 (95% CI, 0.639-0.671), respectively. The calibration curves revealed high consistency between the nomograms prediction and actual observation. Conclusions: The nomograms may help clinicians to conveniently predict the survival of RCC patients with stage IV and provide guidance in choosing the suitable management.

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