Study Type - Prognosis (cohort series) Level of Evidence?2a What's known on the subject? and What does the study add? Nodal metastases, even in the absence of distant metastases, portend a bad prognosis. The percentage of positive nodes (PPN) represents an important predictor of cancer-specific mortality (CSM) in patients in the group T(any) N(1) M(0) . In consequence, universal inclusion of PPN should be considered in prospective and retrospective CSM analyses. OBJECTIVES: •? To examine the outcomes of patients with node-positive renal cell carcinoma (RCC) in the absence of distant metastases in a large population-based cohort of patients •? To examine the ability of standard risk factors to predict cancer-specific mortality (CSM). PATIENTS AND METHODS: •? Using the Surveillance, Epidemiology, and End Results database, a total of 799 patients with RCC nodal metastases and absence of distant metastases undergoing nephrectomy were identified. •? Univariable and multivariable analyses was performed with the aim of identifying independent predictors of CSM in this cohort of patients. •? Specifically, we examined the effect of the number of removed nodes (NRN), the number of positive nodes (NPN) and the percentage of positive nodes (PPN) on CSM. RESULTS: •? Actuarial survival estimates showed that 53.2, 37.8 and 25.7% of patients survived at 24, 60 and 120 months after nephrectomy. •? In Kaplan-Meier analyses, NRN failed to clearly discriminate between recorded CSM rates (log rank P= 0.07). •? Discrimination was noted when CSM was stratified according to NPN (log rank P= 0.02) and PPN (log rank P= 0.001). •? In multivariable analyses, age, Fuhrman grade, histological subtype, T stage and PPN were independent predictors of CSM. CONCLUSIONS: •? Our data indicate that CSM of patients with exclusive nodal metastases differs according to PPN. •? Consequently, PPN warrants consideration in future prognostic schemes.
Study Type - Prognosis (cohort series) Level of Evidence?2a What's known on the subject? and What does the study add? Nodal metastases, even in the absence of distant metastases, portend a bad prognosis. The percentage of positive nodes (PPN) represents an important predictor of cancer-specific mortality (CSM) in patients in the group T(any) N(1) M(0) . In consequence, universal inclusion of PPN should be considered in prospective and retrospective CSM analyses. OBJECTIVES: •? To examine the outcomes of patients with node-positive renal cell carcinoma (RCC) in the absence of distant metastases in a large population-based cohort of patients •? To examine the ability of standard risk factors to predict cancer-specific mortality (CSM). PATIENTS AND METHODS: •? Using the Surveillance, Epidemiology, and End Results database, a total of 799 patients with RCC nodal metastases and absence of distant metastases undergoing nephrectomy were identified. •? Univariable and multivariable analyses was performed with the aim of identifying independent predictors of CSM in this cohort of patients. •? Specifically, we examined the effect of the number of removed nodes (NRN), the number of positive nodes (NPN) and the percentage of positive nodes (PPN) on CSM. RESULTS: •? Actuarial survival estimates showed that 53.2, 37.8 and 25.7% of patients survived at 24, 60 and 120 months after nephrectomy. •? In Kaplan-Meier analyses, NRN failed to clearly discriminate between recorded CSM rates (log rank P= 0.07). •? Discrimination was noted when CSM was stratified according to NPN (log rank P= 0.02) and PPN (log rank P= 0.001). •? In multivariable analyses, age, Fuhrman grade, histological subtype, T stage and PPN were independent predictors of CSM. CONCLUSIONS: •? Our data indicate that CSM of patients with exclusive nodal metastases differs according to PPN. •? Consequently, PPN warrants consideration in future prognostic schemes.