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Application of nomograms in the prediction of overall survival and cancer-specific survival in patients with T1 high-grade bladder cancer

机译:诺模图在T1级膀胱癌患者总体生存率和癌症特异性生存率预测中的应用

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摘要

To predict survival outcomes for individual patients with clinical T1 high-grade (T1HG) bladder cancer (BC), data from the Surveillance Epidemiology and End Results (SEER) database were analyzed in the present study. The data of 6,980 cases of T1HG BC between 2004 and 2014 were obtained from the SEER database. Uni- and multivariate Cox analyses were performed to identify significant prognostic factors. Subsequently, prognostic nomograms for predicting 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates were constructed based on the SEER database. Clinical information from the SEER database was divided into internal and external groups and used to validate the nomograms. In addition, calibration plot diagrams and concordance indices (C-indices) were used to verify the predictive performance of the nomogram. A total of 6,980 patients were randomly allocated to the training cohort (n=4,886) or the validation cohort (n=2094). Univariate and multivariate Cox analyses indicated that age, ethnicity, tumor size, marital status, radiation and surgical status were independent prognostic factors. These characteristics were used to establish nomograms. The C-indices for OS and CSS rate predictions for the training cohort were 0.707 (95% CI, 0.693–0.721) and 0.700 (95% CI, 0.679–0.721), respectively. Internal and external calibration plot diagrams exhibited an excellent consistency between actual survival rates and nomogram predictions, particularly for 3- and 5-year OS and CSS. The significant prognostic factors in patients with T1HG BC were age, ethnicity, marital status, tumor size, status of surgery and use of radiation. In the present study, a nomogram was developed that may serve as an effective and convenient evaluation tool to help surgeons perform individualized survival evaluations and mortality risk determination for patients with T1HG BC.
机译:为了预测临床上患有T1高级别(T1HG)膀胱癌(BC)的患者的生存结果,在本研究中分析了来自监测流行病学和最终结果(SEER)数据库的数据。从SEER数据库中获得了2004年至2014年之间6,980例T1HG BC病例的数据。进行单因素和多因素Cox分析,以鉴定重要的预后因素。随后,基于SEER数据库构建了预测3年和5年总生存率(OS)和癌症特异性生存率(CSS)的预后列线图。 SEER数据库中的临床信息分为内部和外部两个组,并用于验证列线图。此外,使用校准图和一致性指数(C指数)来验证列线图的预测性能。总共6,980名患者被随机分配到训练队列(n = 4,886)或验证队列(n = 2094)。 Cox单因素和多因素分析表明,年龄,种族,肿瘤大小,婚姻状况,放射线和手术状况是独立的预后因素。这些特性用于建立列线图。培训队列的OS和CSS速率预测的C指数分别为0.707(95%CI,0.693-0.721)和0.700(95%CI,0.679-0.721)。内部和外部校准图在实际生存率和列线图预测之间显示出极好的一致性,特别是对于3年和5年OS和CSS。 T1HG BC患者的重要预后因素是年龄,种族,婚姻状况,肿瘤大小,手术状况和放射线使用情况。在本研究中,开发了诺模图,可作为一种有效且方便的评估工具,以帮助外科医生对T1HG BC患者进行个体化的生存期评估和确定死亡风险。

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