东部肿瘤协作组（ECOG）体能状态评分为0或1以及症状分类并不能提高预测肾细胞癌特异性生存的能力。
ECOG performance status 0 or 1 and symptom classification do not improve the ability to predict renal cell carcinoma-specific survival.
作者信息
Karakiewicz Pierre I, Trinh Quoc-Dien, de la Taille Alexandre, Abbou Claude C, Salomon Laurent, Tostain Jacques, Cindolo Luca, Artibani Walter, Ficarra Vincenzo, Patard Jean-Jacques
机构信息
Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center (CHUM), 1058, rue St-Denis, Montreal, Que., Canada H2X 3J4.
出版信息
Eur J Cancer. 2007 Apr;43(6):1023-9. doi: 10.1016/j.ejca.2007.01.020. Epub 2007 Mar 8.
OBJECTIVES
We tested and compared the improvement in prognostic ability related to the consideration of either ECOG performance status (ECOGPS) and/or symptom classification (S-CLASS) in renal cell carcinoma specific mortality (RCC-SM) predictions.
METHODS
Univariate and multivariate Cox regression analyses targeted RCC-SM in 2570 RCC patients treated with either partial or radical nephrectomy. The increment in predictive accuracy related to the addition of either ECOGPS, S-CLASS or both was quantified using Harrell's concordance index.
RESULTS
Follow-up ranged from 0.1 to 23 years (median 3.2) and 610 patients (23.7%) died of RCC. In multivariable analyses, ECOGPS and S-CLASS represented independent predictors of RCC-SM. The addition of ECOGPS to established RCC-SM predictors increased the predictive accuracy by 0.3% (p=0.8) versus 0.6% (p=0.5) for S-CLASS versus 0.6% (p=0.5) for both.
CONCLUSIONS
Neither ECOGPS nor S-CLASS improves the ability to predict RCC-SM. Therefore, these variables may be safely omitted when RCC-SM risk is quantified.
目的
我们测试并比较了在肾细胞癌特异性死亡率（RCC - SM）预测中，考虑东部肿瘤协作组（ECOG）体能状态（ECOGPS）和/或症状分类（S - CLASS）对预后预测能力的改善情况。
方法
对2570例行部分或根治性肾切除术的肾细胞癌患者，采用单因素和多因素Cox回归分析RCC - SM。使用Harrell一致性指数量化添加ECOGPS、S - CLASS或两者后预测准确性的提高。
结果
随访时间为0.1至23年（中位数3.2年），610例患者（23.7%）死于肾细胞癌。在多变量分析中，ECOGPS和S - CLASS是RCC - SM的独立预测因素。在已有的RCC - SM预测因素中添加ECOGPS使预测准确性提高了0.3%（p = 0.8），添加S - CLASS提高了0.6%（p = 0.5），两者都添加提高了0.6%（p = 0.5）。
结论
ECOGPS和S - CLASS均未提高预测RCC - SM的能力。因此，在量化RCC - SM风险时，可以安全地省略这些变量。
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