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Development and Validation of a Prognostic Nomogram for Progression-Free Survival in Patients with Advanced Renal Cell Carcinoma Treated with Pazopanib

机译:帕唑帕尼治疗晚期肾细胞癌患者无进展生存的预后性诺模图的开发和验证

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Objective: To develop and validate a prognostic nomogram for predicting the probability of 12-month progression- free survival (PFS) for patients receiving first-line pazopanib for advanced renal cell carcinoma (RCC). Methods: Statistical modeling was performed with data from 557 pazopanib- treated patients in the phase 3 COMPARZ trial. A multivariable Cox model was fit using known prognostic indicators. Variables included neutrophil count, serum levels of albumin and alkaline phosphatase, time from diagnosis to treatment, and bone metastases. Data from the pazopanib arm of a placebo-controlled phase 3 trial were used for validation. Results: The model included ten prognostic variables and was plotted as a nomogram for predicting the probability of 12-month PFS. Calibration plots suggested reasonable correspondence between predicted probabilities and actual proportions of PFS. The concordance index for 12-month PFS was 0.625. Significant associations (p < 0.05) were observed between PFS and bone metastases, time from diagnosis to treatment, albumin, and alkaline phosphatase. Albumin and alkaline phosphatase appeared to be influential predictors. Conclusion: The nomogram predicts, with reasonable accuracy, PFS in patients with advanced RCC receiving pazopanib, based on their baseline clinical characteristics. (C) 2015 S. Karger AG, Basel
机译:目的:建立并验证预后列线图,以预测接受一线帕唑帕尼治疗晚期肾细胞癌(RCC)患者的12个月无进展生存期(PFS)的可能性。方法:在3期COMPARZ试验中,对557位接受帕唑帕尼治疗的患者的数据进行了统计建模。使用已知的预后指标拟合多变量Cox模型。变量包括中性粒细胞计数,白蛋白和碱性磷酸酶的血清水平,从诊断到治疗的时间以及骨转移。安慰剂对照的3期试验的帕唑帕尼组的数据用于验证。结果:该模型包括十个预后变量,并以列线图形式绘制,以预测12个月PFS的可能性。校正图表明预测概率与PFS的实际比例之间存在合理的对应关系。 12个月PFS的一致性指数为0.625。在PFS和骨转移,从诊断到治疗的时间,白蛋白和碱性磷酸酶之间观察到显着关联(p <0.05)。白蛋白和碱性磷酸酶似乎是影响因素。结论:诺模图根据基线临床特征以合理的准确性预测接受帕唑帕尼的晚期RCC患者的PFS。 (C)2015 S.Karger AG,巴塞尔

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