BACKGROUND: Kidney cancer's rising incidence is largely attributable to the increased detection of small renal masses. Although surgery rates have paralleled this incidence trend, mortality continues to rise, calling into question the necessity of surgery for all patients with renal masses. Using a population-based cohort, a competing risk analysis was performed to estimate patient survival after surgery for kidney cancer, as a function of patient age and tumor size at diagnosis. METHODS: With data from the Surveillance, Epidemiology, and End Results Program (1983-2002), a cohort was assembled of 26,618 patients with surgically treated, local-regional kidney cancer. Patients were sorted into 20 age-tumor size categories and the numbers of patients that were alive, dead from kidney cancer, and dead from other causes were tabulated. Poisson regression models were fitted to obtain estimates of cancer-specific and competing-cause mortality. RESULTS: Age-specific kidney cancer mortality was stable across all size strata but varied inversely with tumor size. Patients with the smallest tumors enjoyed the lowest cancer-specific mortality (5% for masses<or=4 cm). Competing-cause mortality rose with increasing patient age. The estimated 5-year competing-cause mortality for elderly subjects (>or=70 years) was 28.2% (95% confidence interval [CI]: 25.9%-30.8%), irrespective of tumor size. CONCLUSIONS: Despite surgical therapy, competing-cause mortality for patients with renal masses rises with increasing patient age. After 5 years, one-third of elderly patients (>or=70 years) will die from other causes, suggesting the need for prospective studies to evaluate the role of active surveillance as an initial therapeutic approach for some small renal masses. Copyright (c) 2007 American Cancer Society
BACKGROUND:Kidney cancer's rising incidence is largely attributable to the increased detection of small renal masses. Although surgery rates have paralleled this incidence trend, mortality continues to rise, calling into question the necessity of surgery for all patients with renal masses. Using a population-based cohort, a competing risk analysis was performed to estimate patient survival after surgery for kidney cancer, as a function of patient age and tumor size at diagnosis. METHODS: With data from the Surveillance, Epidemiology, and End Results Program (1983-2002), a cohort was assembled of 26,618 patients with surgically treated, local-regional kidney cancer. Patients were sorted into 20 age-tumor size categories and the numbers of patients that were alive, dead from kidney cancer, and dead from other causes were tabulated. Poisson regression models were fitted to obtain estimates of cancer-specific and competing-cause mortality. RESULTS: Age-specific kidney cancer mortality was stable across all size strata but varied inversely with tumor size. Patients with the smallest tumors enjoyed the lowest cancer-specific mortality (5% for masses<or=4 cm). Competing-cause mortality rose with increasing patient age. The estimated 5-year competing-cause mortality for elderly subjects (>or=70 years) was 28.2% (95% confidence interval [CI]: 25.9%-30.8%), irrespective of tumor size. CONCLUSIONS: Despite surgical therapy, competing-cause mortality for patients with renal masses rises with increasing patient age. After 5 years, one-third of elderly patients (>or=70 years) will die from other causes, suggesting the need for prospective studies to evaluate the role of active surveillance as an initial therapeutic approach for some small renal masses. Copyright (c) 2007 American Cancer Society
Authors: Matthew R Danzig; Peter Chang; Andrew A Wagner; Mohamad E Allaf; James M McKiernan; Phillip M Pierorazio Journal: Curr Urol Rep Date: 2016-01 Impact factor: 3.092
Authors: Jeffrey J Tomaszewski; Robert G Uzzo; Alexander Kutikov; Katie Hrebinko; Reza Mehrazin; Anthony Corcoran; Serge Ginzburg; Rosalia Viterbo; David Y T Chen; Richard E Greenberg; Marc C Smaldone Journal: Urology Date: 2014-04 Impact factor: 2.649
Authors: Hyunsoon Cho; Angela B Mariotto; Bhupinder S Mann; Carrie N Klabunde; Eric J Feuer Journal: Am J Epidemiol Date: 2013-07-03 Impact factor: 4.897
Authors: Stefan Zastrow; Sabine Brookman-May; Thi Anh Phuong Cong; Stanislaw Jurk; Immanuel von Bar; Vladimir Novotny; Manfred Wirth Journal: World J Urol Date: 2014-05-22 Impact factor: 4.226
Authors: Joseph A Pettus; Thomas L Jang; Robert H Thompson; Ofer Yossepowitch; Meagan Kagiwada; Paul Russo Journal: Mayo Clin Proc Date: 2008-10 Impact factor: 7.616
Authors: Paolo Capogrosso; Alessandro Larcher; Daniel D Sjoberg; Emily A Vertosick; Francesco Cianflone; Paolo Dell'Oglio; Cristina Carenzi; Andrea Salonia; Andrew J Vickers; Francesco Montorsi; Roberto Bertini; Umberto Capitanio Journal: J Urol Date: 2018-01-31 Impact factor: 7.450