Modelling competing risks in nephrology research: An example in peritoneal dialysis

BMC Nephrology

Volumn 14, Issue 1, 2013, Pages

  Teixeira, Laetitia ^a   Rodrigues, Anabela ^a,b   Carvalho, Maria J ^a,b   Cabrita, António ^a,b   Mendonça, Denisa ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b HOSPITAL DE SANTO ANTÓNIO   (Portugal)

Author keywords

Cause specific hazard model; Competing risks; Cumulative incidence function; Peritoneal dialysis; Subdistribution hazard model; Survival analysis

Indexed keywords

ADULT; ARTICLE; FEMALE; GENDER; HEMODIALYSIS; HUMAN; INCIDENCE; KAPLAN MEIER METHOD; MAJOR CLINICAL STUDY; MALE; PERITONEAL DIALYSIS; PERITONITIS; RISK ASSESSMENT; UNIVERSITY HOSPITAL; ADVERSE EFFECTS; FOLLOW UP; MIDDLE AGED; MORTALITY; NEPHROLOGY; PROCEDURES; RISK FACTOR; TRENDS;

ADULT; FEMALE; FOLLOW-UP STUDIES; HUMANS; KAPLAN-MEIER ESTIMATE; MALE; MIDDLE AGED; NEPHROLOGY; PERITONEAL DIALYSIS; PERITONITIS; RISK FACTORS;

EID: 84878004140     PISSN: None     EISSN: 14712369     Source Type: Journal    
DOI: 10.1186/1471-2369-14-110     Document Type: Article

References (32)

1. Tutorial in biostatistics: competing risks and multi-state models. Putter H, Fiocco M, Geskus RB, Stat Med 2007 26 11 2389 2430 10.1002/sim.2712 17031868 (Pubitemid 46730255)
2. Kaplan-Meier methods yielded misleading results in competing risk scenarios. Southern DA, Faris PD, Brant R, Galbraith PD, Norris CM, Knudtson ML, Ghali WA, J Clin Epidemiol 2006 59 10 1110 1114 10.1016/j.jclinepi.2006.07.002 16980152 (Pubitemid 44374316)
3. Peritoneal dialysis patient survival: a comparison between a Swedish and a Korean centre. Chung SH, Heimbürger O, Lindholm B, Lee HB, Nephrol Dial Transpl 2005 20 6 1207 1213 10.1093/ndt/gfh772 (Pubitemid 40862112)
4. Impact of the bag exchange procedure on risk of peritonitis. Dong J, Chen Y, Perit Dial Int 2010 30 440 447 10.3747/pdi.2009.00117 20378843
5. Survival analysis: comparing peritoneal dialysis and hemodialysis in Taiwan. Huang CC, Cheng KF, Wu HDI, Perit Dial Int 2008 28 Supplement-3 15 20 18552246
6. Therapy outcome in peritoneal dialysis patients transferred from haemodialysis. Liberek T, Renke M, Skonieczny B, Kotewicz K, Kowalewska J, Chmielewski M, Kot J, Lichodziejewska-Niemierko M, Rutkowski B, Nephrol Dial Transpl 2009 24 9 2889 2894 10.1093/ndt/gfp132
7. Methodological issues in assessing the incidence of peritoneal dialysis-associated peritonitis in children. Schaefer F, Kandert M, Feneberg R, Perit Dial Int 2002 22 2 234 238 11990409 (Pubitemid 34546335)
8. Patient and techinique survival and factors affecting mortality on peritoneal dialysis in Turkey: 12 years' experience in a single center. Sipahioglu MH, Aybal A, Ünal A, Tokgoz B, Oymak O, Utaş C, Perit Dial Int 2008 28 3 238 245 18474915 (Pubitemid 352003037)
9. Experiences with assisted peritoneal dialysis in China. Xu R, Zhuo M, Yang Z, Dong J, Perit Dial Int 2012 32 1 94 101 10.3747/pdi.2010.00213 21632447
10. Comparison of outcomes on continuous ambulatory peritoneal dialysis versus automated peritoneal dialysis: results from a USA database. Cnossen TT, Usvyat L, Kotanko P, van der Sande FM, Kooman JP, Carter M, Leunissen KML, Levin NW, Perit Dial Int 2011 31 6 679 684 10.3747/pdi.2010.00004 20829519
11. Estimation of failure probabilities in the presence of competing risks: new representations of old estimators. Gooley TA, Leisenring W, Crowley J, Storer BE, Stat Med 1999 18 6 695 706 10.1002/(SICI)1097-0258(19990330)18: 6<695::AID-SIM60>3.0.CO;2-O 10204198 (Pubitemid 29126745)
12. Peritonitis-free survival in peritoneal dialysis: an update taking competing risks into account. Evans DW, Ryckelynck JP, Fabre E, Verger C, Nephrol Dial Transpl 2010 25 7 2315 2322 10.1093/ndt/gfq003
13. Overestimation of the probability of death on peritoneal dialysis by the Kaplan-Meier method: advantages of a competing risks approach. Beuscart JB, Pagniez D, Boulanger E, Lessore De Sainte Foy C, Salleron J, Frimat L, Duhamel A, BMC Nephrol 2012 13 31 10.1186/1471-2369-13-31 22646159
14. Peritoneal dialysis-associated peritonitis rates and outcomes in a national cohort are Not improving in the post-millennium (2000-2007). Brown MC, Simpson K, Kerssens JJ, Mactier RA, Registry TSR, Perit Dial Int 2011 31 6 639 650 10.3747/pdi.2010.00185 21804138
15. Adult peritoneal dialysis-related peritonitis treatment recommendations: 2000 update. Keane W, Bailie G, Boeschoten E, Gokal R, Golper T, Holmes C, Kawaguchi Y, Piraino B, Riella M, Vas S, Perit Dial Int 2000 20 4 396 411 11007371
16. Pintilie M, Competing Risks. A Practical Perspective John Wiley & Sons, Ltd: Chichester 2006
17. Gichangi A, Vach W, The analysis of competing risks data: A guided tour Odence C.-Denmark: Department of Statistics, University of Southern Denmark 2005
18. Analysing and interpreting competing risk data. Pintilie M, Stat Med 2007 26 6 1360 1367 10.1002/sim.2655 16900575 (Pubitemid 46380846)
19. A class of K-sample tests for comparing the cumulative incidence of a competing risk. Gray RJ, Ann Stat 1988 16 3 1141 1154 10.1214/aos/1176350951
20. Cumulative incidence in competing risks data and competing risks regression analysis. Kim HT, Clin Cancer Res 2007 13 2 559 565 10.1158/1078-0432.CCR-06-1210 17255278 (Pubitemid 46225362)
21. Cumulative incidence estimation in the presence of competing risks. Coviello V, Boggess M, The Stata J 2004 4 2 103 112
22. Competing risk of death: an important consideration in studies of older adults. Berry SD, Ngo L, Samelson EJ, Kiel DP, J Am Geriatr Soc 2010 58 4 783 787 10.1111/j.1532-5415.2010.02767.x 20345862
23. Competing risks in epidemiology: possibilities and pitfalls. Andersen PK, Geskus RB, de Witte T, Putter H, Int J Epidemiol 2012 41 3 861 870 10.1093/ije/dyr213 22253319
24. A proportional hazards model for the subdistribution of a competing risks. Fine JP, Gray RJ, J Am Stat Assoc 1999 94 446 496 509 10.1080/01621459.1999.10474144
25. Competing risks and the clinical community: irrelevance or ignorance? Koller MT, Raatz H, Steyerberg EW, Wolbers M, Stat Med 2012 31 11-12 1089 1097 21953401
26. Methods of competing risks analysis of end-stage renal disease and mortality among people with diabetes. Lim HJ, Zhang X, Dyck R, Osgood N, BMC Med Res Methodol 2010 10 97 10.1186/1471-2288-10-97 20964855
27. Risk factors for peritoneal dialysis-related peritonitis: Can we reduce the incidence and improve patient selection? Kotsanas D, Polkinghorne KR, Korman TM, Atkins RC, Brown F, Nephrol 2007 12 3 239 245 10.1111/j.1440-1797.2006. 00756.x (Pubitemid 46718197)
28. A note on competing risks in survival data analysis. Satagopan JM, Ben-Porat L, Berwick M, Robson M, Kutler D, Auerbach AD, Brit J Cancer 2004 91 7 1229 1235 10.1038/sj.bjc.6602102 15305188 (Pubitemid 39424779)
29. The analysis of competing events like cause-specific mortality-beware of the Kaplan-Meier method. Verduijn M, Grootendorst DC, Dekker FW, Jager KJ, le Cessie S, Nephrol Dial Transpl 2011 26 1 56 61 10.1093/ndt/gfq661
30. Choice and interpretation of statistical tests used when competing risks are present. Dignam JJ, Kocherginsky MN, J Clin Oncol 2008 26 24 4027 4034 10.1200/JCO.2007.12.9866 18711194
31. Evaluating health outcomes in the presence of competing risks a review of statistical methods and clinical applications. Varadhan R, Weiss CO, Segal JB, Wu AW, Scharfstein D, Boyd C, Med Care 2010 48 6 96 S105 20473207
32. Technique failure in peritoneal dialysis patients: insights and challenges. Quinn RR, Ravani P, Hochman J, Perit Dial Int 2010 30 2 161 162 10.3747/pdi.2010.00020 20200368