Antoinette M Stroup1, Hyunsoon Cho2, Steve M Scoppa2, Hannah K Weir2, Angela B Mariotto2. 1. Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, Division of Cancer Epidemiology, Department of Epidemiology, Rutgers School of Public Health, Rutgers, the State University of New Jersey, Piscataway, NJ (AMS); Data Modeling Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health Bethesda, MD (HC, AM); Division of Cancer Registration and Surveillance, National Cancer Center, Goyang-si Gyeonggi-do, Korea (HC); Information Management Services, Inc., Calverton, MD (SS); Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (HKW). nan.stroup@rutgers.edu. 2. Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, Division of Cancer Epidemiology, Department of Epidemiology, Rutgers School of Public Health, Rutgers, the State University of New Jersey, Piscataway, NJ (AMS); Data Modeling Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health Bethesda, MD (HC, AM); Division of Cancer Registration and Surveillance, National Cancer Center, Goyang-si Gyeonggi-do, Korea (HC); Information Management Services, Inc., Calverton, MD (SS); Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (HKW).
Abstract
BACKGROUND: Relative survival is based on estimating excess cancer mortality in a study population compared to expected mortality of a comparable population without cancer. In the United States, expected mortality is estimated from national life tables matched by age, sex, race, and calendar year to each individual in the study population. We compared five-year relative survival using state life tables to five-year relative survival using US decennial life tables. We assessed variations by age, race, and cancer site for all cancers combined, lung, colorectal, prostate, and female breast cancers. METHODS: We used data from 17 National Cancer Institute Surveillance, Epidemiology, and End Results Program registries, including diagnoses from January 1, 2000 to December 31, 2009 with follow-up through December 31, 2010. Five-year relative survival was calculated using US-based life tables (USLT) and state-specific life tables (SLT). RESULTS: Differences in SLT- and USLT-based survival were generally small (SLT < 4 survival percentage points lower than USLT). Differences were higher for states with high SES and low mortality and for prostate cancer. Differences were largest for all cancers combined, colon and rectum, and prostate cancer among males aged 85+ ranging from -10 to -17 survival points for whites and +9 to +17 for blacks. CONCLUSION: Differences between relative survival based on USLT and SLT were small and state-based estimates were less reliable than US-based estimates for older populations aged 85+. Our findings underscore the need to develop more appropriate life tables that better represent the varying mortality patterns in different populations in order to obtain accurate estimates of relative survival.
BACKGROUND: Relative survival is based on estimating excess cancer mortality in a study population compared to expected mortality of a comparable population without cancer. In the United States, expected mortality is estimated from national life tables matched by age, sex, race, and calendar year to each individual in the study population. We compared five-year relative survival using state life tables to five-year relative survival using US decennial life tables. We assessed variations by age, race, and cancer site for all cancers combined, lung, colorectal, prostate, and female breast cancers. METHODS: We used data from 17 National Cancer Institute Surveillance, Epidemiology, and End Results Program registries, including diagnoses from January 1, 2000 to December 31, 2009 with follow-up through December 31, 2010. Five-year relative survival was calculated using US-based life tables (USLT) and state-specific life tables (SLT). RESULTS: Differences in SLT- and USLT-based survival were generally small (SLT < 4 survival percentage points lower than USLT). Differences were higher for states with high SES and low mortality and for prostate cancer. Differences were largest for all cancers combined, colon and rectum, and prostate cancer among males aged 85+ ranging from -10 to -17 survival points for whites and +9 to +17 for blacks. CONCLUSION: Differences between relative survival based on USLT and SLT were small and state-based estimates were less reliable than US-based estimates for older populations aged 85+. Our findings underscore the need to develop more appropriate life tables that better represent the varying mortality patterns in different populations in order to obtain accurate estimates of relative survival.
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: Angela B Mariotto; Anne-Michelle Noone; Nadia Howlader; Hyunsoon Cho; Gretchen E Keel; Jessica Garshell; Steven Woloshin; Lisa M Schwartz Journal: J Natl Cancer Inst Monogr Date: 2014-11
Authors: Angela Mariotto; Riccardo Capocaccia; Arduino Verdecchia; Andrea Micheli; Eric J Feuer; Linda Pickle; Limin X Clegg Journal: Cancer Causes Control Date: 2002-03 Impact factor: 2.506
Authors: Tim E Byers; Holly J Wolf; Katrina R Bauer; Susan Bolick-Aldrich; Vivien W Chen; Jack L Finch; John P Fulton; Maria J Schymura; Tiefu Shen; Scott Van Heest; Xiang Yin Journal: Cancer Date: 2008-08-01 Impact factor: 6.860
Authors: Paolo Baili; Andrea Micheli; Roberta De Angelis; Hannah K Weir; Silvia Francisci; Mariano Santaquilani; Timo Hakulinen; Manuela Quaresmas; Michel P Coleman Journal: Tumori Date: 2008 Sep-Oct
Authors: Angela B Mariotto; Anne-Michelle Noone; Nadia Howlader; Hyunsoon Cho; Gretchen E Keel; Jessica Garshell; Steven Woloshin; Lisa M Schwartz Journal: J Natl Cancer Inst Monogr Date: 2014-11
Authors: Hannah K Weir; Christopher J Johnson; Angela B Mariotto; Donna Turner; Reda J Wilson; Diane Nishri; Kevin C Ward Journal: J Natl Cancer Inst Monogr Date: 2014-11
Authors: Devon Spika; Finian Bannon; Audrey Bonaventure; Laura M Woods; Rhea Harewood; Helena Carreira; Michel P Coleman; Claudia Allemani Journal: BMC Cancer Date: 2017-02-27 Impact factor: 4.430
Authors: Angela B Mariotto; Zhaohui Zou; Christopher J Johnson; Steve Scoppa; Hannah K Weir; Bin Huang Journal: PLoS One Date: 2018-07-25 Impact factor: 3.240