How can we make cancer survival statistics more useful for patients and clinicians: An illustration using localized prostate cancer in Sweden

Cancer Causes and Control

Volumn 24, Issue 3, 2013, Pages 505-515

  Eloranta, Sandra ^a   Adolfsson, Jan ^a   Lambert, Paul C ^a,b   Stattin, Pär ^c,d   Akre, Olof ^e   Andersson, Therese M L ^a   Dickman, Paul W ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c UMEÅ UNIVERSITY HOSPITAL   (Sweden)

^d MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^e KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Competing risks; Period analysis; Population based; Prostate cancer; Relative survival

Indexed keywords

ACCURACY; ADULT; AGE DISTRIBUTION; AGED; ARTICLE; CANCER HORMONE THERAPY; CANCER LOCALIZATION; CANCER MORTALITY; CANCER PROGNOSIS; CANCER RISK; CANCER STATISTICS; CANCER SURVIVAL; CONTROLLED STUDY; HIGH RISK PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PROSTATE CANCER; RISK ASSESSMENT; RISK FACTOR; SWEDEN;

AGED; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; PROBABILITY; PROGNOSIS; PROSTATIC NEOPLASMS; RISK FACTORS; SURVIVAL ANALYSIS; SWEDEN;

EID: 84878886859     PISSN: 09575243     EISSN: 15737225     Source Type: Journal    
DOI: 10.1007/s10552-012-0141-5     Document Type: Article

References (32)

1. Dickman PW, Adami HO (2006) Interpreting trends in cancer patient survival. J Intern Med 260:103-117
2. Perme MP, Stare J, Esteve J (2012) On estimation in relative survival. Biometrics 68:113-120
3. Dignam JJ, Kocherginsky MN (2008) Choice and interpretation of statistical tests used when competing risks are present. J Clin Oncol 26:4027-4034
4. Putter H, Fiocco M, Geskus RB (2007) Tutorial in biostatistics: competing risks and multi-state models. Stat Med 26:2389-2430
5. Gail MH (2008) Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studies. Lifetime Data Anal 14:18-36
6. Adolfsson J, Garmo H, Varenhorst E, Ahlgren G, Ahlstrand C, Andren O, Bill-Axelsson BO, Damber JE, Hellström K, Hellström M, Holmberg E et al (2007) Clinical characteristics and primary treatment of prostate cancer in Sweden between 1996 and 2005. Scand J Urol Nephrol 2007(41):456-477
7. National Comprehensive Cancer Network (2010) Clinical practice guidelines in oncology, Prostate cancer, Version 1.2010
8. D'Amico AV, Denham JW, Crook J, Chen MH, Goldhaber SZ, Lamb DS, Joseph D, Tai KH, Malone S, Ludgate C, Steigler A, Kantoff PW (2007) Influence of androgen suppression therapy for prostate cancer on the frequency and timing of fatal myocardial infarctions. J Clin Oncol 25:2420-2425
9. Tsai HK, D'Amico AV, Sadetsky N, Chen MH, Carroll PR (2007) Androgen deprivation therapy for localized prostate cancer and the risk of cardiovascular mortality. J Natl Cancer Inst 99:1516-1524
10. Van Hemelrijck M, Garmo H, Holmberg L, Ingelsson E, Bratt O, Bill-Axelson A, Lambe M, Stattin P, Adolfsson J (2010) Absolute and relative risk of cardiovascular disease in men with prostate cancer: results from the Population-Based PCBaSe Sweden. J Clin Oncol 28:3448-3456
11. Fang F, Fall K, Mittleman MA, Sparen P, Ye W, Adami HO, Valdimarsdóttir U (2012) Suicide and cardiovascular death after a cancer diagnosis. N Engl J Med 366:1310-1318
12. Brenner H, Gefeller O, Hakulinen T (2004) Period analysis for 'up-to-date' cancer survival data: theory, empirical evaluation, computational realisation and applications. Eur J Cancer 40:326-335
13. Brenner H, Hakulinen T (2002) Advanced detection of time trends in long-term cancer patient survival: experience from 50 years of cancer registration in Finland. Am J Epidemiol 156:566-577
14. Dickman PW, Sloggett A, Hills M, Hakulinen T (2004) Regression models for relative survival. Stat Med 23:51-64
15. Perme MP, Henderson R, Stare J (2009) An approach to estimation in relative survival regression. Biostatistics 10:136-146
16. Nelson CP, Lambert PC, Squire IB, Jones DR (2007) Flexible parametric models for relative survival, with application in coronary heart disease. Stat Med 26:5486-5498
17. Lambert PC (2009) Further development of flexible parametric models for survival analysis. Stata J 9:265-290
18. Durrleman S, Simon R (1989) Flexible regression models with cubic splines. Stat Med 8:551-561
19. Lambert PC, Dickman PW, Nelson CP, Royston P (2010) Estimating the crude probability of death due to cancer and other causes using relative survival models. Stat Med 29:885-895
20. Brenner H, Arndt V (2005) Long-term survival rates of patients with prostate cancer in the prostate-specific antigen screening era: population-based estimates for the year 2000 by period analysis. J Clin Oncol 23:441-447
21. Holmberg L, Robinson D, Sandin F, Bray F, Linklater KM, Klint A, Lambert PC, Adolfsson J, Hamdy FC, Catto J, Møller H (2012) A comparison of prostate cancer survival in England, Norway and Sweden: a population-based study. Cancer Epidemiol 36:e7-e12
22. Stattin P, Holmberg E, Johansson JE, Holmberg L, Adolfsson J, Hugosson J (2010) Outcomes in localized prostate cancer: National Prostate Cancer Register of Sweden follow-up study. J Natl Cancer Inst 102:950-958
23. Hinchliffe SR, Abrams KR, Lambert PC (2012) The impact of under and over-recording of cancer on death certificates in a competing risks analysis: a simulation study. Cancer Epidemiol (Epub ahead of print). doi: 10.1016/j.canep.2012.08.012
24. Howlader N, Ries LA, Mariotto AB, Reichman ME, Ruhl J, Cronin KA (2010) Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst 102:1584-1598
25. Finnish Cancer Registry-Institute for Statistical and Epidemiological Cancer Research (2009) Cancer in Finland 2006 and 2007. Helsinki 2009. Publication No. 76
26. Koller MT, Raatz H, Steyerberg EW, Wolbers M (2011) Competing risks and the clinical community: irrelevance or ignorance? Stat Med 31:1089-1097
27. Feuer EJ, Lee M, Mariotto AB, Cronin KA, Scoppa S, Penson DF et al (2012) The Cancer Survival Query System: making survival estimates from the Surveillance, Epidemiology, and End Results program more timely and relevant for recently diagnosed patients. Cancer 118:5652-5662
28. Brenner H, Hakulinen T (2003) On crude and age-adjusted relative survival rates. J Clin Epidemiol 56:1185-1191
29. Pokhrel A, Hakulinen T (2008) How to interpret the relative survival ratios of cancer patients. Eur J Cancer 44:2661-2667
30. Fagerlin A, Zikmund-Fisher BJ, Ubel PA (2011) Helping patients decide: ten steps to better risk communication. J Natl Cancer Inst 103:1436-1443
31. Lipkus IM (2007) Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations. Med Decis Mak 27:696-713
32. Lambert PC, Royston P (2009) Further development of flexible parametric models for survival analysis. Stata J 9:265-290