Journal of Preventive Medicine and Public Health

  • 제41권1호
  • /
  • Pages.17-22
  • /
  • 2008
  • /
  • 1975-8375(pISSN)
  • /
  • 2233-4521(eISSN)
대한예방의학회 (The Korean Society for Preventive Medicine)
권호 표지

국가 암 발생 데이터베이스에 등록된 암환자의 연령군별 생존율: 기간 분석 방식에 의한 1997년과 2002년도 생존율 비교

Comparison of Cancer Survival by Age Group for 1997 and for 2002: Application of Period Analysis using the National Cancer Incidence Database

  • 임선의 (국립암센터 국가암관리사업단 암등록통계과) ;
  • 정규원 (국립암센터 국가암관리사업단 암등록통계과) ;
  • 원영주 (국립암센터 국가암관리사업단 암등록통계과) ;
  • 공현주 (국립암센터 국가암관리사업단 암등록통계과) ;
  • 신혜림 (국립암센터 국가암관리사업단 암등록통계과)
  • Yim, Seon-Hee (Cancer Registration and Biostatistics Branch, National Cancer Control Research Institute, National Cancer Center) ;
  • Jung, Kyu-Won (Cancer Registration and Biostatistics Branch, National Cancer Control Research Institute, National Cancer Center) ;
  • Won, Young-Joo (Cancer Registration and Biostatistics Branch, National Cancer Control Research Institute, National Cancer Center) ;
  • Kong, Hyun-Joo (Cancer Registration and Biostatistics Branch, National Cancer Control Research Institute, National Cancer Center) ;
  • Shin, Hai-Rim (Cancer Registration and Biostatistics Branch, National Cancer Control Research Institute, National Cancer Center)
  • 발행 : 2008.01.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objectives : Period analysis estimates up-to-date survival rates of cancer patients. In this approach, analysis is restricted to recent time period by left-truncating all observations at the beginning of the period and right-censoring at its end. Here, we applied period analysis to examine changes in 5-year relative survival (RS) by age group for 1997 and for 2002. Methods : Using the National Cancer Incidence Database, 5-year RS was estimated for 1997 and 2002 in four age groups (15-54, 55-64, 65-74, and 75 years old and over) using period analysis. After excluding death certificate-only cases, patients with an unknown date of diagnosis or follow-up length, a total of 813,889 patients diagnosed with a first primary invasive cancer during 1992 2002 were included for analysis. Followup for vital status was included until 31 December 2002. Results : Five-year RS increased from 41.7% for 1997 to 46.7% for 2002. Increases in survival occurred in all age groups except in the 75 and over group. Conclusions : The age gradient in cancer prognosis seems to have widened between 1997 and 2002, a finding that requires further study of prognostic factors, including stage at diagnosis. Period analysis accurately estimates survival rates, especially for cancers with better prognosis.

키워드

참고문헌

  1. Brenner H, Gefeller O. Deriving more up-todate estimates of long-term patient survival. J Clin Epidemiol 1997; 50(2): 211-216 https://doi.org/10.1016/S0895-4356(97)00280-1
  2. Brenner H, Gefeller O. An alternative approach to monitoring cancer patient survival. Cancer 1996; 78(9): 2004-2010 https://doi.org/10.1002/(SICI)1097-0142(19961101)78:9<2004::AID-CNCR23>3.0.CO;2-#
  3. Brenner H, Gefeller O, Hakulinen T. Period analysis for 'up-to-date' cancer survival data: Theory, empirical evaluation, computational realisation and applications. Eur J Cancer 2004; 40(3): 326-335 https://doi.org/10.1016/j.ejca.2003.10.013
  4. Brenner H, Gefeller O, Hakulinen T. A computer program for period analysis of cancer patient survival. Eur J Cancer 2002; 38(5): 690-695 https://doi.org/10.1016/S0959-8049(02)00003-5
  5. Brenner H, Stegmaier C, Ziegler H. Recent improvement in survival of breast cancer patients in Saarland, Germany. Br J Cancer 1998; 78(5): 694-697 https://doi.org/10.1038/bjc.1998.562
  6. Brenner H, Stegmaier C, Ziegler H. Trends in survival of patients with ovarian cancer in Saarland, Germany, 1976-1995. J Cancer Res Clin Oncol 1999; 125(2): 109-113 https://doi.org/10.1007/s004320050250
  7. Smith LK, Lambert PC, Jones DR. Up-to-date estimates of long-term cancer survival in England and Wales. Br J Cancer 2003; 89(1): 74-76 https://doi.org/10.1038/sj.bjc.6600976
  8. Houterman S, Janssen-Heijnen M, van de Poll-Franse LV, Brenner H, Coebergh J W. Higher long-term cancer survival rates in southeastern Netherlands using up-to-date period analysis.Ann Oncol 2006; 17(4): 709-712 https://doi.org/10.1093/annonc/mdj139
  9. Jung KW, Yim SH, Kong HJ, Hwang SY, WonYJ, Lee JK, et al. Cancer survival in Korea 1993-2002: A population based study. J Korean Med Sci 2007; 22(Suppl): S5-S10 https://doi.org/10.3346/jkms.2007.22.S.S5
  10. Brenner H, Arndt V. Recent increase in cancersurvival according to age: Higher survival in all age groups, but widening age gradient. Cancer Causes Control 2004; 15(9): 903-910 https://doi.org/10.1007/s10552-004-1484-3
  11. Gondos A, Holleczek B, Arndt V, Stegmaier C, Ziegler H, Brenner H. Trends in populationbased cancer survival in Germany: To what extent does progress reach older patients? Ann Oncol 2007; 18(7): 1253-1259 https://doi.org/10.1093/annonc/mdm126
  12. National Cancer Institute homepage on the Internet. Goyang: National Cancer Institute; cited 2007 July 16; Available from: URL:http://www.ncc.re.kr
  13. Shin HR, Won YJ, Jung KW, Kong HJ, Yim SH, Lee JK, et al. Nationwide cancer incidence in Korea, 1999-2001; First result using the National Cancer Incifdence Database. Cancer Res Treat 2005; 37(6): 325-331 https://doi.org/10.4143/crt.2005.37.6.325
  14. Hakulinen T, Abeywickrama KH. A computer program package for relative survival analysis. Comput Programs Biomed 1985; 19(2-3): 197-207 https://doi.org/10.1016/0010-468X(85)90011-X
  15. Ederer F, Axtell LM, Cutler SJ. The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr, 1961; 6: 101-121
  16. Greenwood M. The Errors of Sampling of the Survivorship Table, vol 33 of Reports on Public Health and Medical Subjects. London: Her MajestyAs Stationery Office; 1926. p. 23-25
  17. Dickman PW, Coviello E, Hills M. Estimating and modelling relative survival using Stata. cited 2007 July 1; Available from: URL: http://www.pauldickman.com/rsmodel/stata_colon
  18. Quaglia A, Capocaccia R, Micheli A, Carrani E, Vercelli M. A wide difference in cancer survival between middle aged and elderly patients in Europe. Int J Cancer 2007; 120(10): 2196-2201 https://doi.org/10.1002/ijc.22515
  19. Bae JM, Won YJ, Jung KW, Suh KA, Yun YH, Shin MH, et al. Survival of Korean cancer patients diagnosed in 1995. Cancer Res Treat 2002; 34(5): 319-325 https://doi.org/10.4143/crt.2002.34.5.319
  20. National Health Insurance Corporation. Press release from National Health Insurance Corporation (11 Jan 2007). cited 2007 July 16; Available from: URL:http://www.nhic.or.kr
  21. Kim SG, Yu SH, Park WS, Chung WJ. Outof-pocket health expenditures by non-elderly and elderly persons in Korea. J Prev Med Public Health 2005; 38(4): 408-414. (Korean)
  22. Lim JH, Kim SG, Lee EM, Bae SY, Park JH, Choi KS, et al. The determinants of purchasing private health insurance in Korean cancer patients. J Prev Med Public Health 2007; 40(2): 150-154. (Korean) https://doi.org/10.3961/jpmph.2007.40.2.150
  23. Robinson D, Sankila R, Hakulinen T, Moller H. Interpreting international comparisons of cancer survival: The effects of incomplete registration and the presence of death certificate only cases on survival estimates. Eur J Cancer 2007; 43(5): 909-913 https://doi.org/10.1016/j.ejca.2007.01.007