Population-based cancer survival in the United States: Data, quality control, and statistical methods

Cancer

Volumn 123, Issue , 2017, Pages 4982-4993

  Allemani, Claudia ^a   Harewood, Rhea ^a   Johnson, Christopher J ^b   Carreira, Helena ^a   Spika, Devon ^a   Bonaventure, Audrey ^a   Ward, Kevin ^c   Weir, Hannah K ^d   Coleman, Michel P ^a  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b Cancer Data Registry of Idaho   (United States)

^c EMORY UNIVERSITY   (United States)

^d NATIONAL CENTER FOR CHRONIC DISEASE PREVENTION AND HEALTH PROMOTION   (United States)

Author keywords

cancer; National Program for Cancer Registries (NPCR); population based survival; statistical methods; Surveillance, Epidemiology, and End Results (SEER)

Indexed keywords

ACUTE LYMPHOBLASTIC LEUKEMIA; ADULT; AGED; ARTICLE; BLACK PERSON; BREAST CANCER; CANCER EPIDEMIOLOGY; CANCER STAGING; CANCER SURVIVAL; CAUCASIAN; CAUSE OF DEATH; COLON CANCER; CONTROLLED STUDY; FEMALE; HUMAN; LIFE EXPECTANCY; LIVER CANCER; MAJOR CLINICAL STUDY; MALE; OVARY CANCER; PRIORITY JOURNAL; PROSTATE CANCER; RECTUM CANCER; STOMACH CANCER; SURVIVAL TIME; UNITED STATES; UTERINE CERVIX CANCER; EPIDEMIOLOGY; HEALTH SURVEY; MEASUREMENT ACCURACY; MORTALITY; NEOPLASM; QUALITY CONTROL; STATISTICS;

DATA ACCURACY; HUMANS; NEOPLASMS; PUBLIC HEALTH SURVEILLANCE; QUALITY CONTROL; STATISTICS AS TOPIC; UNITED STATES;

EID: 85037620929     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.31025     Document Type: Article

References (36)

1. Coleman MP. Cancer survival: global surveillance will stimulate health policy and improve equity. Lancet. 2014;383:564-573.
2. Coleman MP, Quaresma M, Berrino F, et al. Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol. 2008;9:730-756.
3. Allemani C, Weir HK, Carreira H, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet. 2015;385:977-1010.
4. White MC, Babcock F, Hayes NS, et al. The history and use of cancer registry data by public health cancer control programs in the United States. Cancer. 2017;123:4969-4976.
5. North American Association of Central Cancer Registries. https://www.naaccr.org/data-standards-data-dictionary/.
6. IACR Working Group. International rules for multiple primary cancers (ICD-O third edition). Eur J Cancer Prev. 2005;14:307-308.
7. Surveillance, Epidemiology, and End Results Program. Multiple primary and histology coding rules manual. http://seer.cancer.gov/tools/mphrules/download.html. Accessed September 24, 2016.
8. Fritz AG, Percy C, Jack A, et al. International Classification of Diseases for Oncology (ICD-O). Geneva, Switzerland: World Health Organization; 2013.
9. Johnson CJ, Weir HK, Mariotto AB, Nishri D, Wilson R, eds. Cancer in North America: 2008-2012—Volume Four: Cancer Survival in the United States and Canada 2005-2011. Springfield, IL: North American Association of Central Cancer Registries; 2016.
10. Young JL, Roffers SD, Ries LAG, Fritz AG, Hurlbut AA. SEER Summary Staging Manual–2000: Codes and Coding Instructions. Bethesda, MD: National Cancer Institute; 2001. NIH publication 01-4969.
11. Cronin KA, Ries LAG, Edwards BK. Preface. Cancer. 2014;120:3755-3757.
12. Estève J, Benhamou E, Raymond L. Statistical Methods in Cancer Research—Volume IV: Descriptive Epidemiology. Lyon, France: International Agency for Research on Cancer; 1994. IARC Scientific Publication 128.
13. Cutler SJ, Ederer F. Maximum utilisation of the life table method in analyzing survival. J Chronic Dis. 1958;8:699-712.
14. Corazziari I, Quinn MJ, Capocaccia R. Standard cancer patient population for age standardising survival ratios. Eur J Cancer. 2004;40:2307-2316.
15. Pohar Perme M, Stare J, Estève J. On estimation in relative survival. Biometrics. 2012;68:113-120.
16. StataCorp. Stata Statistical Software. College Station, TX: Stata Corporation; 2015.
17. Clerc-Urmès I, Grzebyk M, Hédelin G. Net survival estimation with stns. Stata J. 2014;14:87-102.
18. Stiller CA, Bunch KJ. Trends in survival for childhood cancer in Britain diagnosed 1971-85. Br J Cancer. 1990;62:806-815.
19. Greenwood M. The Natural Duration of Cancer. London, United Kingdom: Her Majesty's Stationery Office; 1926.
20. Jim MA, Pinheiro PS, Carreira H, Espey DK, Wiggins CL, Weir HK. Stomach cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:4994-5013.
21. White A, Joseph DA, Rim SH, Johnson CJ, Coleman MP, Allemani C. Colon cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5014-5036.
22. Joseph DA, Johnson CJ, White A, Wu M, Coleman MP. Rectal Cancer Survival in the United States by Race and Stage (2001-2009): Findings from the CONCORD-2 study. Cancer. 2017;123:5037-5058.
23. Momin BR, Pinheiro PS, Carreira H, Li C, Weir HK. Liver cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5059-5078.
24. Richards TB, Henley SJ, Puckett MC, et al. Lung cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5079-5099.
25. Miller JW, Lee Smith J, Ryerson AB, Tucker TC, Allemani C. Disparities in breast cancer survival in the United States (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5100-5118.
26. Benard V, Watson M, Saraiya M, et al. Cervical cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5119-5137.
27. Stewart SL, Harewood R, Matz M, et al. Disparities in ovarian cancer survival in the United States (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5138-5159.
28. Steele CB, Li J, Huang B, Weir HK. Prostate cancer survival in the United States by race and stage (2001-2009): findings from the CONCORD-2 study. Cancer. 2017;123:5160-5177.
29. Tai E, Ward KC, Bonaventure A, Siegel D, Coleman MP. Survival among children diagnosed with acute lymphoblastic leukemia in the United States by race and age, 2001-2009: findings from the CONCORD-2 study. Cancer. 2017;123:5178-5189.
30. Spika D, Bannon F, Bonaventure A, et al. Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods. BMC Cancer. 2017;17:159.
31. Spika D, Rachet B, Bannon F, et al. Life tables for the CONCORD-2 study. http://csg.lshtm.ac.uk/tools-analysis/. Accessed September 24, 2016.
32. Rachet B, Maringe C, Woods LM, Ellis L, Spika D, Allemani C. Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations. BMC Public Health. 2015;15:1240.
33. Quaresma M, Coleman MP, Rachet B. Funnel plots for population-based cancer survival: principles, methods and applications. Stat Med. 2014;33:1070-1080.
34. Spiegelhalter DJ. Funnel plots for comparing institutional performance. Stat Med. 2005;24:1185-1202.
35. Johnson CJ, Weir HK, Fink AK, et al. The impact of National Death Index linkages on population-based cancer survival rates in the United States. Cancer Epidemiol. 2013;37:20-28.
36. Brenner H, Gefeller O. An alternative approach to monitoring cancer patient survival. Cancer. 1996;78:2004-2010.