Competing risks analysis of cause-specific mortality in patients with oral squamous cell carcinoma

Head and Neck

Volumn 39, Issue 1, 2017, Pages 56-62

  Läärä, Esa ^a   Korpi, Jarkko T ^a,b,c   Pitkänen, Hanna ^a   Alho, Olli Pekka ^a,b,c   Kantola, Saara ^b  

^a UNIVERSITY OF OULU   (Finland)

^b OULU UNIVERSITY HOSPITAL   (Finland)

^c MEDICAL RESEARCH CENTER OULU   (Finland)

Author keywords

cause specific mortality; competing risks; cumulative incidence; prognosis; survival

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CANCER PROGNOSIS; CANCER SIZE; CANCER STAGING; CANCER SURVIVAL; CAUSE SPECIFIC SURVIVAL; CHARLSON COMORBIDITY INDEX; DISEASE SPECIFIC SURVIVAL; FEMALE; FINLAND; HAZARD RATIO; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; MIDDLE AGED; MORTALITY; MOUTH SQUAMOUS CELL CARCINOMA; PRIORITY JOURNAL; TERTIARY CARE CENTER; YOUNG ADULT; MOUTH TUMOR; PROGNOSIS; RETROSPECTIVE STUDY; RISK ASSESSMENT; SQUAMOUS CELL CARCINOMA; SURVIVAL ANALYSIS; SURVIVAL RATE; VERY ELDERLY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CARCINOMA, SQUAMOUS CELL; FEMALE; FINLAND; HUMANS; MALE; MIDDLE AGED; MOUTH NEOPLASMS; PROGNOSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; SURVIVAL ANALYSIS; SURVIVAL RATE; YOUNG ADULT;

EID: 84995809852     PISSN: 10433074     EISSN: 10970347     Source Type: Journal    
DOI: 10.1002/hed.24536     Document Type: Article

References (31)

1. Le Tourneau C, Michiels S, Gan HK, Siu LL. Reporting of time-to-event end points and tracking of failures in randomized trials of radiotherapy with or without any concomitant anticancer agent for locally advanced head and neck cancer. J Clin Oncol 2009;27:5965–5971.
2. Mell LK, Dignam JJ, Salama JK, et al. Predictors of competing mortality in advanced head and neck cancer. J Clin Oncol 2010;28:15–20.
3. Koller MT, Raatz H, Steyerberg EW, Wolbers M. Competing risks and the clinical community: irrelevance or ignorance? Stat Med 2012;31:1089–1097.
4. Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med 2007;26:2389–2430.
5. Gelman R, Gelber R, Henderson IC, Coleman CN, Harris JR. Improved methodology for analyzing local and distant recurrence. J Clin Oncol 1990;8:548–555.
6. Arriagada R, Rutqvist LE, Kramar A, Johansson H. Competing risks determining event-free survival in early breast cancer. Br J Cancer 1992;66:951–957.
7. Gray B. (2014). cmprsk: subdistribution analysis of competing risks. R package version 2.2-7. Available at: http://CRAN.R–project.org/package=cmprsk. Accessed August 2, 2015.
8. Rosthøj S, Andersen PK, Abildstrom SZ. SAS macros for estimation of the cumulative incidence functions based on a Cox regression model for competing risks survival data. Comput Methods Programs Biomed 2004;74:69–75.
9. Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. Stata J 2004;4:103–112.
10. Rose BS, Jeong JH, Nath SK, Lu SM, Mell LK. Population-based study of competing mortality in head and neck cancer. J Clin Oncol 2011;29:3503–3509.
11. Montero PH, Yu C, Palmer FL, et al. Nomograms for preoperative prediction of prognosis in patients with oral cavity squamous cell carcinoma. Cancer 2014;120:214–221.
12. McBride SM, Parambi RJ, Jang JW, Goldsmith T, Busse PM, Chan AW. Intensity-modulated versus conventional radiation therapy for oropharyngeal carcinoma: long-term dysphagia and tumor control outcomes. Head Neck 2014;36:492–498.
13. Swisher–McClure S, Mitra N, Lin A, et al. Risk of fatal cerebrovascular accidents after external beam radiation therapy for early-stage glottic laryngeal cancer. Head Neck 2014;36:611–616.
14. Shen W, Sakamoto N, Yang L. Cancer-specific mortality and competing mortality in patients with head and neck squamous cell carcinoma: a competing risk analysis. Ann Surg Oncol 2015;22:264–271.
15. Latouche A, Allignol A, Beyersmann J, Labopin M, Fine JP. A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions. J Clin Epidemiol 2013;66:648–653.
16. Teppo L, Pukkala E, Lehtonen M. Data quality and quality control of a population-based cancer registry. Experience in Finland. Acta Oncol 1994;33:365–369.
17. Pukkala E, Söderman B, Okeanov A, et al. Finland – cancer registration. Cancer Atlas of Northern Europe. Helsinki: Cancer Society of Finland Publication 62, 2001: 50–51. Available at: http://www.cancer.fi/syoparekisteri/en/registration/forms–and–instructions/. Accessed August 2, 2015.
18. Forastiere A, Koch W, Trotti A, Sidransky D. Head and neck cancer. N Engl J Med 2001;345:1890–1900.
19. Sobin LH, Gospodarowicz MK, Wittekind Ch, eds. International Union Against Cancer (UICC) TNM Classification of Malignant Tumors. 7th ed. Oxford, UK: Wiley–Blackwell; 2009. p 336.
20. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373–383.
21. Satagopan JM, Ben–Porat L, Berwick M, Robson M, Kutler D, Auerbach AD. A note on competing risks in survival data analysis. Br J Cancer 2004;91:1229–1235.
22. Beyersmann J, Scheike TH. Classical regression models for competing risks. In: Klein JP, van Houwelingen HC, Ibrahim JG, Scheike TH, eds. Handbook of Survival Analysis. London: Chapman and Hall/CRC; 2013. pp 157–177.
23. R Core Team (2016). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria 2016. Available at: http://www.R–project.org/. Accessed August 2, 2015.
24. Plummer M, Carstensen B. Lexis: an R class for epidemiological studies with long-term follow-up. J Stat Softw 2011;38:1–12.
25. Gerds, TA, Scheike, TH. Risk regression models for survival analysis with competing risks. R package version 1.1.7. 2015. Available at: http://CRAN.R–project.org/package=riskRegression. Accessed August 2, 2015.
26. Dignam JJ, Zhang Q, Kocherginsky M. The use and interpretation of competing risks regression models. Clin Cancer Res 2012;18:2301–2308.
27. Lau B, Cole SR, Gange SJ. Competing risk regression models for epidemiologic data. Am J Epidemiol 2009;170:244–256.
28. Andersen PK, Keiding N. Multi-state models for event history analysis. Stat Methods Med Res 2002;11:91–115.
29. Selvin S. Statistical Tools for Epidemiological Research. Oxford, UK: Oxford University Press; 2011. pp 267–286.
30. Broët P, de la Rochefordière A, Scholl SM, et al. Analyzing prognostic factors in breast cancer using a multistate model. Breast Cancer Res Treat 1999;54:83–89.
31. Putter H, van der Hage J, de Bock GH, Elgalta R, van de Velde CJ. Estimation and prediction in a multi-state model for breast cancer. Biom J 2006;48:366–380.