2009
DOI: 10.1016/j.juro.2008.10.156
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Development and External Validation of a New Outcome Prediction Model for Patients With Clear Cell Renal Cell Carcinoma Treated With Nephrectomy Based on Preoperative Serum C-Reactive Protein and TNM Classification: The TNM-C Score

Abstract: In patients with clear cell renal cell carcinoma a new simple scoring model based on serum C-reactive protein and the TNM classification is a useful and easy to use tool for predicting outcome.

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Cited by 87 publications
(72 citation statements)
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“…This conclusion is correlated with other researches (Guo et al, 2013;Yu et al, 2013;Hu et al, 2014). A new predictive model that includes CRP and TNM stage has been developed to evaluate the prognosis of clear cell renal cell carcinoma (Iimura et al, 2009).…”
Section: Discussionsupporting
confidence: 80%
“…This conclusion is correlated with other researches (Guo et al, 2013;Yu et al, 2013;Hu et al, 2014). A new predictive model that includes CRP and TNM stage has been developed to evaluate the prognosis of clear cell renal cell carcinoma (Iimura et al, 2009).…”
Section: Discussionsupporting
confidence: 80%
“…43 Absolute preoperative CRP as a continuous variable is also a good predictor of metastasis and mortality 1 year after surgery in clinically localized RCC patients. 44 The prognostic significance of CRP has been shown with its power for improving the combined predictive accuracy of established markers and prediction models through multivariable statistics 46,47 in a manner consistent with a criterion proposed by Kattan. 58 In a study by Karakiewicz et al that included 314 patients with any stage of RCC, CRP improved the predictive accuracy by 3.7% for RCC-specific mortality.…”
Section: Prognostic Value Of Crp In Renal Cell Carcinomamentioning
confidence: 76%
“…Multivariate survival analysis with calculation of hazard ratio (HR) with 95% confidence interval (CI) was performed using the Cox proportional hazards model including all covariates that were significant on univariate analysis. We applied a weighting method to each variable (14); the coefficient for each factor was divided by the highest coefficient, multiplied by 4, and rounded to the nearest integer (15). Precision of the reported coefficients was assessed by creating 1,000 bootstrap samples from the entire data set and replicating the estimation process.…”
Section: Discussionmentioning
confidence: 99%