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Prognostic nomogram for bladder cancer with brain metastases: a National Cancer Database analysis.
Journal of Translational Medicine ( IF 7.4 ) Pub Date : 2019-12-09 , DOI: 10.1186/s12967-019-2109-7
Zhixian Yao 1 , Zhong Zheng 1 , Wu Ke 1 , Renjie Wang 1 , Xingyu Mu 1 , Feng Sun 1 , Xiang Wang 1 , Shivank Garg 2 , Wenyin Shi 2 , Yinyan He 3 , Zhihong Liu 1
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BACKGROUND This study aimed to establish and validate a nomogram for predicting brain metastasis in patients with bladder cancer (BCa) and assess various treatment modalities using a primary cohort comprising 234 patients with clinicopathologically-confirmed BCa from 2004 to 2015 in the National Cancer Database. METHODS Machine learning method and Cox model were used for nomogram construction. For BCa patients with brain metastasis, surgery of the primary site, chemotherapy, radiation therapy, palliative care, brain confinement of metastatic sites, and the Charlson/Deyo Score were predictive features identified for building the nomogram. RESULTS For the original 169 patients considered in the model, the areas under the receiver operating characteristic curve (AUC) were 0.823 (95% CI 0.758-0.889, P < 0.001) and 0.854 (95% CI 0.785-0.924, P < 0.001) for 0.5- and 1-year overall survival respectively. In the validation cohort, the nomogram displayed similar AUCs of 0.838 (95% CI 0.738-0.937, P < 0.001) and 0.809 (95% CI 0.680-0.939, P < 0.001), respectively. The high and low risk groups had median survivals of 1.91 and 5.09 months for the training cohort and 1.68 and 8.05 months for the validation set, respectively (both P < 0.0001). CONCLUSIONS Our prognostic nomogram provides a useful tool for overall survival prediction as well as assessing the risk and optimal treatment for BCa patients with brain metastasis.

中文翻译:

膀胱癌伴脑转移的预后列线图:国家癌症数据库分析。

背景技术这项研究旨在建立和验证用于预测膀胱癌(BCa)患者脑转移的列线图,并使用包括2004年至2015年美国国家癌症数据库中234例经临床病理证实的BCa患者的主要队列评估各种治疗方式。方法采用机器学习方法和Cox模型进行列线图的构建。对于患有脑转移的BCa患者,原发部位的手术,化学疗法,放射疗法,姑息治疗,转移部位的大脑限制以及Charlson / Deyo评分是确定诺模图的预测特征。结果对于模型中考虑的最初169例患者,接受者工作特征曲线(AUC)下的面积分别为0.823(95%CI 0.758-0.889,P <0.001)和0.854(95%CI 0.785-0.924,P <0.001)。0.001)的总生存期分别为0.5年和1年。在验证队列中,列线图分别显示相似的AUC,分别为0.838(95%CI 0.738-0.937,P <0.001)和0.809(95%CI 0.680-0.939,P <0.001)。高风险组和低风险组在训练队列中的中位生存期分别为1.91和5.09个月,在验证组中的中位生存期分别为1.68和8.05个月(均P <0.0001)。结论我们的预后列线图为整体生存预测以及评估BCa脑转移患者的风险和最佳治疗方法提供了有用的工具。高风险组和低风险组在训练队列中的中位生存期分别为1.91和5.09个月,在验证组中的中位生存期分别为1.68和8.05个月(均P <0.0001)。结论我们的预后列线图为整体生存预测以及评估BCa脑转移患者的风险和最佳治疗方法提供了有用的工具。高风险组和低风险组在训练队列中的中位生存期分别为1.91和5.09个月,在验证组中的中位生存期分别为1.68和8.05个月(均P <0.0001)。结论我们的预后列线图为整体生存预测以及评估BCa脑转移患者的风险和最佳治疗方法提供了有用的工具。
更新日期:2019-12-09
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