BACKGROUND AND OBJECTIVES: The paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973 to 2011. We estimated mortality rates by tumor size after accounting for lags from diagnosis to death using multiple imputations for missing data from 1983. Mortality rates were estimated irrespective of tumor size after adjustment for prior cumulative incidence using ridge regression. RESULTS: A total of 78,891 patients met inclusion criteria. Of 70,212 patients diagnosed since 1983, 10.4% had missing data. Significant attenuation in cancer-specific mortality was noted from 1983 to 2011 when comparing observed with imputed rates: Δobs0.05 versus Δimp0.10 (P=0.001, <2 cm tumors); Δobs0.29 versus Δimp0.18 (P=0.005, 2-4 cm tumors); Δobs0.46 versus Δimp-0.20 (P<0.001, 4-7 cm tumors); Δobs0.93 versus Δimp-0.15 (P<0.001, >7 cm tumors). Holding incidence of RCC constant to 2011 rates, temporal increase in overall mortality for all patients was attenuated (P<0.001) when comparing observed estimates (3.9-6.8) with 2011 adjusted estimates (5.9-7.1), suggesting that rapidly rising incidence may influence reported overall mortality trends. These findings were supported by assessment of mortality to incidence ratio trends. CONCLUSIONS: Missing data and rising incidence may contribute substantially to the "treatment disconnect" phenomenon when examining mortality rates in RCC using tumor registry data. Caution is advised when basing clinical and policy decisions on these data.
BACKGROUND AND OBJECTIVES: The paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973 to 2011. We estimated mortality rates by tumor size after accounting for lags from diagnosis to death using multiple imputations for missing data from 1983. Mortality rates were estimated irrespective of tumor size after adjustment for prior cumulative incidence using ridge regression. RESULTS: A total of 78,891 patients met inclusion criteria. Of 70,212 patients diagnosed since 1983, 10.4% had missing data. Significant attenuation in cancer-specific mortality was noted from 1983 to 2011 when comparing observed with imputed rates: Δobs0.05 versus Δimp0.10 (P=0.001, <2 cm tumors); Δobs0.29 versus Δimp0.18 (P=0.005, 2-4 cm tumors); Δobs0.46 versus Δimp-0.20 (P<0.001, 4-7 cm tumors); Δobs0.93 versus Δimp-0.15 (P<0.001, >7 cm tumors). Holding incidence of RCC constant to 2011 rates, temporal increase in overall mortality for all patients was attenuated (P<0.001) when comparing observed estimates (3.9-6.8) with 2011 adjusted estimates (5.9-7.1), suggesting that rapidly rising incidence may influence reported overall mortality trends. These findings were supported by assessment of mortality to incidence ratio trends. CONCLUSIONS: Missing data and rising incidence may contribute substantially to the "treatment disconnect" phenomenon when examining mortality rates in RCC using tumor registry data. Caution is advised when basing clinical and policy decisions on these data.
Authors: John M Hollingsworth; David C Miller; Stephanie Daignault; Brent K Hollenbeck Journal: J Natl Cancer Inst Date: 2006-09-20 Impact factor: 13.506
Authors: Anas M Saad; Mohamed M Gad; Muneer J Al-Husseini; Inas A Ruhban; Mohamad Bassam Sonbol; Thai H Ho Journal: Clin Genitourin Cancer Date: 2018-10-11 Impact factor: 2.872