A comparison of relative and cause-specific survival by cancer site, age and time since diagnosis

International Journal of Cancer

Volumn 135, Issue 1, 2014, Pages 196-203

  Skyrud, Katrine Damgaard ^a   Bray, Freddie ^b   Møller, Bjørn ^a  

^a CANCER REGISTRY OF NORWAY   (Norway)

^b INTERNATIONAL AGENCY FOR RESEARCH ON CANCER   (France)

Author keywords

cancer; cause of death; cause specific survival; life tables; relative survival

Indexed keywords

CANCER; CAUSE OF DEATH; CAUSE-SPECIFIC SURVIVAL; LIFE TABLES; RELATIVE SURVIVAL;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; CAUSE OF DEATH; FEMALE; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; NORWAY; REGISTRIES; SURVIVAL ANALYSIS;

EID: 84899440455     PISSN: 00207136     EISSN: 10970215     Source Type: Journal    
DOI: 10.1002/ijc.28645     Document Type: Article

References (28)

1. Percy C, Stanek E, III, Gloeckler L,. Accuracy of cancer death certificates and its effect on cancer mortality statistics. Am J Public Health 1981; 71: 242-50.
2. Sarfati D, Blakely T, Pearce N,. Measuring cancer survival in populations: relative survival vs cancer-specific survival. Int J Epidemiol 2010; 39: 598-610.
3. Stelzner S, Hellmich G, Koch R, et al. Exactitude of relative survival compared with cause-specific survival and competing risk estimations based on a clinical database of patients with colorectal carcinoma. Dis Colon Rectum 2009; 52: 1264-71.
4. Gamel JW, Vogel RL,. Non-parametric comparison of relative versus cause-specific survival in Surveillance, Epidemiology and End Results (SEER) programme breast cancer patients. Stat Methods Med Res 2001; 10: 339-52.
5. Crocetti E, De Lisi V, Gafa L, et al. Net survival: comparison between relative and cause-specific survival estimates. Epidemiol Prev 2001; 25: 32-6.
6. Howlader N, Ries LA, Mariotto AB, et al. Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst 2010; 102: 1584-98.
7. Utada M, Ohno Y, Shimizu S, et al. Comparison between overall, cause-specific, and relative survival rates based on data from a population-based cancer registry. Asian Pac J Cancer Prev 2012; 13: 5681-5.
8. Hu CY, Xing Y, Cormier JN, et al. Assessing the utility of cancer-registry-processed cause of death in calculating cancer-specific survival. Cancer 2013; 119: 1900-7.
9. Yin D, Morris CR, Bates JH, et al. Effect of misclassified underlying cause of death on survival estimates of colon and rectal cancer. J Natl Cancer Inst 2011; 103: 1130-3.
10. Hinchliffe SR, Rutherford MJ, Crowther MJ, et al. Should relative survival be used with lung cancer data? Br J Cancer 2012; 106: 1854-9.
11. Dignam JJ, Huang L, Ries L, et al. Estimating breast cancer-specific and other-cause mortality in clinical trial and population-based cancer registry cohorts. Cancer 2009; 115: 5272-83.
12. Roder MA, Brasso K, Berg KD, et al. Patients undergoing radical prostatectomy have a better survival than the background population. Dan Med J 2013; 60: A4612.
13. Larsen IK, Smastuen M, Johannesen TB, et al. Data quality at the Cancer Registry of Norway: an overview of comparability, completeness, validity and timeliness. Eur J Cancer 2009; 45: 1218-31.
14. About the statistics: Statistics Norway, 2011. Available at: http://www.ssb.no/vis/emner/03/01/10/dodsarsak/om.html. Accessed March 7, 2013.
15. Lu TH,. Using ACME (Automatic Classification of Medical Entry) software to monitor and improve the quality of cause of death statistics. J Epidemiol Community Health 2003; 57: 470-1.
16. Ederer F, Heise H., Instructions to IBM 650 programmers in processing survival computations. Methodological note No. 10, End Results Evaluation Section. Bethesda, MD: National Cancer Institute, 1959.
17. Greenwood M,., The natural duration of cancer. In: Reports on public health of medical subjects 33, pp. 1-26, HMSO, London (1926).
18. Efron B, Tibsharani R,. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci 1986; 1: 54-77.
19. Lu TH, Anderson RN, Kawachi I,. Trends in frequency of reporting improper diabetes-related cause-of-death statements on death certificates, 1985-2005: an algorithm to identify incorrect causal sequences. Am J Epidemiol 2010; 171: 1069-78.
20. Goldacre MJ,. Cause-specific mortality: understanding uncertain tips of the disease iceberg. J Epidemiol Community Health 1993; 47: 491-6.
21. La Vecchia C, Negri E, Levi F, et al. Cancer mortality in Europe: effects of age, cohort of birth and period of death. Eur J Cancer 1998; 34: 118-41.
22. Coleman MP, Estève J, Damiecki P, Arslan A, Renard H,. Trends in cancer incidence and mortality (IARC Scientific Publications No. 121). Lyon: International Agency for Research on Cancer, 1993: 1-806.
23. Moller B, Weedon-Fekjaer H, Hakulinen T, et al. The influence of mammographic screening on national trends in breast cancer incidence. Eur J Cancer Prev 2005; 14: 117-28.
24. Kvale R, Auvinen A, Adami HO, et al. Interpreting trends in prostate cancer incidence and mortality in the five Nordic countries. J Natl Cancer Inst 2007; 99: 1881-7.
25. Hoffman RM, Stone SN, Espey D, et al. Differences between men with screening-detected versus clinically diagnosed prostate cancers in the USA. BMC Cancer 2005; 5: 27.
26. Talback M, Dickman PW,. Estimating expected survival probabilities for relative survival analysis-exploring the impact of including cancer patient mortality in the calculations. Eur J Cancer 2011; 47: 2626-32.
27. Cronin KA, Feuer EJ,. Cumulative cause-specific mortality for cancer patients in the presence of other causes: a crude analogue of relative survival. Stat Med 2000; 19: 1729-40.
28. Eloranta S, Adolfsson J, Lambert PC, et al. How can we make cancer survival statistics more useful for patients and clinicians: an illustration using localized prostate cancer in Sweden. Cancer Causes Control 2013; 24: 505-15.