The 2014 guideline has been up date d by a multidisciplinary panel using the highest method ological st and ards , and provides the best and most reliable contemporary evidence base for RCC management .
CONTEXT The European Association of Urology Guideline Panel for Renal Cell Carcinoma ( RCC ) has prepared evidence -based guidelines and recommendations for RCC management .
OBJECTIVES To provide an up date of the 2010 RCC guideline based on a st and ardised methodology that is robust , transparent , reproducible , and reliable .
A preoperative prognostic model for patients treated with nephrectomy for renal cell carcinoma.
BACKGROUND Currently two pretreatment prognostic models with limited accuracy ( 65 - 67 % ) can be used to predict survival in patients with localized renal cell carcinoma ( RCC ) . OBJECTIVE We set out to develop a more accurate pretreatment model for predicting RCC-specific mortality after nephrectomy for all stages of RCC . DESIGN , SETTING , AND PARTICIPANTS The data originated from a series of prospect ively recorded contemporary cases of patients treated with radical or partial nephrectomy between 1984 and 2006 . Model development was performed using data from 2474 patients from five centers and external validation was performed using data from 1972 patients from seven centers . MEASUREMENTS The probability of RCC-specific mortality was modeled using Cox regression . The significance of the predictors was confirmed using competing risks analyses , which account for mortality from other causes . RESULTS AND LIMITATIONS Median follow-up in patients who did not die of RCC-specific causes was 4.2 yr and 3.5 yr in the development and validation cohorts , respectively . The freedom from cancer-specific mortality rates in the nomogram development cohort were 75.4 % at 5 yr after nephrectomy and 68.3 % at 10 yr after nephrectomy . All variables except gender achieved independent predictor status . In the external validation cohort the nomogram predictions were 88.1 % accurate at 1 yr , 86.8 % accurate at 2 yr , 86.8 % accurate at 5 yr , and 84.2 % accurate at 10 yr . CONCLUSIONS Our model substantially exceeds the accuracy of the existing pretreatment models . Consequently , the proposed nomogram-based predictions may be used as benchmark data for pretreatment decision making in patients with various stages of RCC
The 2014 guideline has been up date d by a multidisciplinary panel using the highest method ological st and ards , and provides the best and most reliable contemporary evidence base for RCC management .
CONTEXT The European Association of Urology Guideline Panel for Renal Cell Carcinoma ( RCC ) has prepared evidence -based guidelines and recommendations for RCC management .
OBJECTIVES To provide an up date of the 2010 RCC guideline based on a st and ardised methodology that is robust , transparent , reproducible , and reliable .