Breast cancer survivors in the United States

Cancer

Volumn 115, Issue 9, 2009, Pages 1954-1966

  De Angelis, Roberta ^a   Taviila, Andrea ^a   Verdecchia, Arduino ^a   Scoppa, Steve ^b   Hachey, Mark ^b   Feuer, Eric J ^c   Mariotto, Angela B ^c  

^a ISTITUTO SUPERIORE DI SANITÀ   (Italy)

^b INFORMATION MANAGEMENT SERVICES INC   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Breast neoplasms; Forecasting; Prevalence; Regional health planning; Registries

Indexed keywords

ADOLESCENT; ADULT; AGED; AGING; ARTICLE; BREAST CANCER; CALCULATION; CANCER INCIDENCE; CANCER MORTALITY; CANCER SURVIVAL; CANCER SURVIVOR; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE DURATION; FEMALE; GEOGRAPHY; HUMAN; KNOWLEDGE; POPULATION; PREDICTION; PREVALENCE; PRIORITY JOURNAL; TIME; UNITED STATES;

BREAST NEOPLASMS; FEMALE; HEALTH SURVEYS; HUMANS; INCIDENCE; MODELS, STATISTICAL; PREVALENCE; REGISTRIES; REPRODUCIBILITY OF RESULTS; SURVIVORS; TIME FACTORS; UNITED STATES;

EID: 65649123426     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.24217     Document Type: Article

References (22)

1. Ries L. A. G. Melbert D. Krapcho M. et al. SEER Cancer Statistics Review, 1975-2005. Bethesda, Md; National Cancer Institute; 2007. Available at; http://seer.cancer.gov/csr/1975-2005. Accessed February 12, 2009.
2. Pickle L. W. Hao Y. Jemal A. et al. A new method of estimating United States and state-level cancer incidence counts for the current calendar year. CA Cancer J Clin. 2007;57:30-42. (Pubitemid 46148090)
3. Surveillance Research Program, National Cancer Institute. SEER*Stat Software, Version 6.4.4. Bethesda, Md: National Cancer Institute; 2008. Available at: www.seer.cancer.gov/seerstat. Accessed February 12, 2009. (Pubitemid 350137252)
4. Surveillance, Epidemiology, and End Results (SEER) Program. SEER 9 Registries, 1975-2005, Bethesda, Md: National Cancer Institute; 2008 (released April 2008, based on die November 2007 submission). Available at: www.seer.cancer.gov. Accessed February 12, 2009.
5. USCensus Bureau PD. Interim Projections Consistent With Census 2000 (released March 2004). Available at: http://www.census.gov/population/www/ projections/usinterimproj/. Accessed February 12, 2009.
6. Verdecchia A. De Angelis R. Capocaccia R. et al. The cure for colon cancer: results from the EUROCARE study. Int J Cancer. 1998;77:322-329. (Pubitemid 28299863)
7. De Angelis R. Capocaccia R. Hahulinen T. Soderman B. Verdecchia A. Mixture models for cancer survival analysis: application to population-based data with covariates. Stat Med. 1999;18:441-454. (Pubitemid 29057371)
8. Mariotto A. De Angelis R. The Method to Estimate Breast Cancer Prevalence at State Level: 2005-2015. Statistical Research and Applications Branch, NCI, Technical Report 2008-01. Available at; http://srab.cancer.gov/reports/. Accessed February 12, 2009.
9. Mariotto A. Capocaccia R. Verdecchia A. et al. Projecting SEER cancer survival rates to the US: an ecological regression approach. Cancer Causes Control. 2002;11:101-111. (Pubitemid 34229675)
10. Verdecchia A. Capocaccia R. Eqidi V. Golini A. A method for the estimation of chronic disease morbidity and trends from mortality data. Stat Med. 1989;8:201-216. (Pubitemid 19064812)
11. De Angelis G. De Angelis R. Frova L. Verdecchia A. MIA- MOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Programs Biomed. 1994;44:99-107. (Pubitemid 24281294)
12. North American Association of Central Cancer Registries (NAACCR). NAACCR Incidence-CINA Analytic File, 1995-2003. Springfield, Ill: NAACCR; 2008.
13. Pickle L. W. Su Y. Within-state geographic patterns of health insurance coverage and health risk factors in the United States. Am J Prev Med. 2002;22:75-83. (Pubitemid 34119120)
14. Wells B. L. Stage at diagnosis in breast cancer: race and socioeconomic factors. Am J Public Health. 1992;82:1383-1385.
15. Capocaccia R. De Angelis R. Estimating the completeness of prevalence based on cancer registry data. Stat Med. 1997;16:425-440. (Pubitemid 27073011)
16. Merrill R. M. Capocaccia R. Feuer E. J. Mariotto A. Cancer prevalence estimates based on tumour registry data in the Surveillance, Epidemiology, and End Results (SEER) Program. Int J Epidemiol. 2000;29:197-207. (Pubitemid 30209808)
17. Verdecchia A. De Angelis G. Capocaccia R. Estimation and projections of cancer prevalence from cancer registry data. Stat Med. 2002;21:3511-3526. (Pubitemid 35314665)
18. Hewitt M. E. Greenfield S. Stovall E. E. eds. From Cancer Patient to Cancer Survivor: Lost in Transition. Committee on Cancer Survivorship: Improving Care and Quality of Life. Institute of Medicine and National Research Council of the National Academies. Washington, DC: National Academies Press; 2005.
19. Coleman M. P. Quaresma M. Berrino F. et al; CONCORD Working Group. Cancer survival in 5 continents: a worldwide population-based study (CONCORD). Lancet Oncol. 20089:730-756.
20. Ravdin P. M. Cronin K. A. Howlader N. et al. The decrease in breast-cancer incidence in 2003 in the United States. N Engl J Med. 2007;356:1670-1674.
21. Holland J. C. Reznik I. Pathways for psychosocial care of cancer survivors. Cancer. 2005; 104 (11 suppl):2624-2637. (Pubitemid 41691546)
22. Committee on the NIH Research Priority-Setting Process. Scientific Opportunities and Public Needs: Improving Priority Setting and Public Input at the National Institutes of Health, Institute of Medicine. Washington, DC: National Academy Press; 1998.