Browse > Article

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

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)
Publication Information
Journal of Preventive Medicine and Public Health / v.41, no.1, 2008 , pp. 17-22 More about this Journal
Abstract
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.
Keywords
Survival analysis; Neoplasms; Korea;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By SCOPUS : 4
연도 인용수 순위
1 Brenner H, Gefeller O. Deriving more up-todate estimates of long-term patient survival. J Clin Epidemiol 1997; 50(2): 211-216   DOI   ScienceOn
2 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   DOI   ScienceOn
3 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   DOI   PUBMED   ScienceOn
4 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   DOI   ScienceOn
5 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   DOI   ScienceOn
6 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   DOI   ScienceOn
7 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
8 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   DOI   ScienceOn
9 National Cancer Institute homepage on the Internet. Goyang: National Cancer Institute; cited 2007 July 16; Available from: URL:http://www.ncc.re.kr
10 Ederer F, Axtell LM, Cutler SJ. The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr, 1961; 6: 101-121   PUBMED
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   DOI   ScienceOn
12 Brenner H, Gefeller O, Hakulinen T. A computer program for period analysis of cancer patient survival. Eur J Cancer 2002; 38(5): 690-695   DOI   ScienceOn
13 Brenner H, Gefeller O. An alternative approach to monitoring cancer patient survival. Cancer 1996; 78(9): 2004-2010   DOI   ScienceOn
14 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)   과학기술학회마을   DOI   ScienceOn
15 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
16 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   DOI   ScienceOn
17 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   DOI   ScienceOn
18 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   DOI   ScienceOn
19 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
20 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   DOI   ScienceOn
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)   과학기술학회마을
22 Hakulinen T, Abeywickrama KH. A computer program package for relative survival analysis. Comput Programs Biomed 1985; 19(2-3): 197-207   DOI   ScienceOn
23 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   DOI