Would increasing centre volumes improve patient outcomes in peritoneal dialysis? A registry-based cohort and Monte Carlo simulation study

BMJ Open

Volumn 3, Issue 6, 2013, Pages

  Evans, David ^a,b,c,d   Lobbedez, Thierry ^d,e   Verger, Christian ^d   Flahault, Antoine ^a,f  

^a INSERM   (France)

^b EHESP School of Public Health   (France)

^c SORBONNE UNIVERSITÉ   (France)

^d Registre de Dialyse Peritoneale de Langue Française   (France)

^e CHU Clemenceau   (France)

^f UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; COHORT ANALYSIS; DEATH; DISEASE REGISTRY; FEMALE; FRANCE; HEALTH CARE POLICY; HEALTH CARE SYSTEM; HEMODIALYSIS; HUMAN; INCIDENCE; KIDNEY FUNCTION; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; MULTICENTER STUDY; OUTCOME ASSESSMENT; PERITONEAL DIALYSIS; PHYSICIAN; PROBABILITY; SECONDARY HEALTH CARE; SENSITIVITY ANALYSIS; UNIVERSITY HOSPITAL;

EID: 84880415806     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2013-003092     Document Type: Article

References (45)

1. Durand P-Y, Rusterholz T. [French 2008 guidelines on peritoneal dialysis: indications and non-indications]. Néphrologie Thérapeutique 2009;5(Suppl 4):S281-5.
2. Jose MD, Johnson DW, Mudge DW, et al. Peritoneal dialysis practice in Australia and New Zealand: a call to action. Nephrol Carlton Vic 2011;16:19-29.
3. Lobbedez T, Boissinot L, Ficheux M, et al. How to avoid technique failure in peritoneal dialysis patients? Contrib Nephrol 2012;178: 53-7.
4. Halm EA, Lee C, Chassin MR. Is volume related to outcome in health care? A systematic review and methodologic critique of the literature. Ann Intern Med 2002;137:511-20. (Pubitemid 35024623)
5. Birkmeyer JD, Siewers AE, Finlayson EVA, et al. Hospital volume and surgical mortality in the United States. N Engl J Med 2002;346:1128-37. (Pubitemid 34984604)
6. Finks JF, Osborne NH, Birkmeyer JD. Trends in hospital volume and operative mortality for high-risk surgery. N Engl J Med 2011;364: 2128-37.
7. Edwards EB, Roberts JP, McBride MA, et al. The effect of the volume of procedures at transplantation centers on mortality after liver transplantation. N Engl J Med 1999;341:2049-53. (Pubitemid 30035953)
8. Li Y, Cai X, Mukamel DB, et al. The volume-outcome relationship in nursing home care: an examination of functional decline among long-term care residents. Med Care 2010;48:52-7.
9. Thiemann DR, Coresh J, Oetgen WJ, et al. The association between hospital volume and survival after acute myocardial infarction in elderly patients. N Engl J Med 1999;340:1640-8. (Pubitemid 29249434)
10. Bach PB, Cramer LD, Schrag D, et al. The influence of hospital volume on survival after resection for lung cancer. N Engl J Med 2001;345:181-8. (Pubitemid 32662128)
11. Canto JG, Every NR, Magid DJ, et al. The volume of primary angioplasty procedures and survival after acute myocardial infarction. National Registry of Myocardial Infarction 2 Investigators. N Engl J Med 2000;342:1573-80. (Pubitemid 30340504)
12. Chidambaram M, Bargman JM, Quinn RR, et al. Patient and physician predictors of peritoneal dialysis technique failure: a population based, retrospective cohort study. Perit Dial Int J Int Soc Perit Dial 2011;31:565-73.
13. Plantinga LC, Fink NE, Finkelstein FO, et al. Association of peritoneal dialysis clinic size with clinical outcomes. Perit Dial Int J Int Soc Perit Dial 2009;29:285-91.
14. Afolalu B, Troidle L, Osayimwen O, et al. Technique failure and center size in a large cohort of peritoneal dialysis patients in a defined geographic area. Perit Dial Int J Int Soc Perit Dial 2009;29:292-6.
15. Schaubel DE, Blake PG, Fenton SS. Effect of renal center characteristics on mortality and technique failure on peritoneal dialysis. Kidney Int 2001;60:1517-24. (Pubitemid 32960047)
16. Huisman RM, Nieuwenhuizen MGM, Th de Charro F. Patient-related and centre-related factors influencing technique survival of peritoneal dialysis in The Netherlands. Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc-Eur Ren Assoc 2002;17: 1655-60. (Pubitemid 35012170)
17. Kendrick J, Teitelbaum I. Strategies for improving long-term survival in peritoneal dialysis patients. Clin J Am Soc Nephrol Cjasn 2010;5:1123-31.
18. Evans DW, Ryckelynck J-P, Fabre E, et al. Peritonitis-free survival in peritoneal dialysis: an update taking competing risks into account. Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc-Eur Ren Assoc 2010;25:2315-22.
19. Beuscart J-B, Pagniez D, Boulanger E, et al. Overestimation of the probability of death on peritoneal dialysis by the Kaplan-Meier method: advantages of a competing risks approach. Bmc Nephrol 2012;13:31.
20. Dunn JR, Bobak M. Editorial changes at JECH. J Epidemiol Community Health 2011;65:561.
21. Ahern J, Hubbard A, Galea S. Estimating the effects of potential public health interventions on population disease burden: a step-by-step illustration of causal inference methods. Am J Epidemiol 2009;169:1140-7.
22. Rockhill B. Theorizing about causes at the individual level while estimating effects at the population level: implications for prevention. Epidemiol Camb Mass 2005;16:124-9. (Pubitemid 40246344)
23. Davis FG, Peterson CE, Bandiera F, et al. How do we more effectively move epidemiology into policy action? Ann Epidemiol 2012;22:413-16.
24. Couchoud C, Duman M, Frimat L, et al. [RDPLF and Rein, 2 complementary registries: a comparison of the collected data]. Nephrol Ther 2007;3:27-32.
25. Lobbedez T, Touam M, Evans D, et al. Peritoneal dialysis in polycystic kidney disease patients. Report from the French peritoneal dialysis registry (RDPLF). Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc-Eur Ren Assoc 2011;26:2332-9.
26. Castrale C, Evans D, Verger C, et al. Peritoneal dialysis in elderly patients: report from the French Peritoneal Dialysis Registry (RDPLF). Nephrol Dial Transplant. Published Online First: 2009. doi:gfp375 [ pii] 10.1093/ndt/gfp375 [doi]
27. Van Buuren S, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Softw 2011;45:1-67.
28. Donders ART, van der Heijden GJMG, Stijnen T, et al. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006;59:1087-91. (Pubitemid 44374314)
29. Moons KGM, Donders RART, Stijnen T, et al. Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol 2006;59:1092-101. (Pubitemid 44389818)
30. Lau B, Cole SR, Gange SJ. Competing risk regression models for epidemiologic data. Am J Epidemiol 2009;170:244-56.
31. Ambrogi F, Biganzoli E, Boracchi P. Estimates of clinically useful measures in competing risks survival analysis. Stat Med 2008;27:6407-25.
32. Therneau TM, Grambsch PM. Modeling survival data: extending the cox model. New York: Springer Verlag 2000.
33. Lash TL, Schmidt M, Jensen AØ, et al. Methods to apply probabilistic bias analysis to summary estimates of association. Pharmacoepidemiol Drug Saf 2010;19:638-44.
34. Lash TL, Fink AK. Semi-automated sensitivity analysis to assess systematic errors in observational data. Epidemiology 2003;14:451-8. (Pubitemid 40417063)
35. R Core Team. R: A language and environment for statistical computing. Vienna Austria: R Foundation for Statistical Computing 2012. http://www.R-project.org/
36. Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. New York: John Wiley, 1980.
37. Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med 2007;26:2389-430. (Pubitemid 46730255)
38. Koller MT, Raatz H, Steyerberg EW, et al. Competing risks and the clinical community: irrelevance or ignorance? Stat Med. Published Online First: 23 September 2011. doi:10.1002/sim.4384
39. Votruba ME, Cebul RD. Redirecting patients to improve stroke outcomes: implications of a volume-based approach in one urban market. Med Care 2006;44:1129-36. (Pubitemid 44808675)
40. Cho Y, Badve SV, Hawley CM, et al. The effects of living distantly from peritoneal dialysis units on peritonitis risk microbiology treatment and outcomes: a multi-centre registry study. BMC Nephrol 2012;13:41.
41. Tonelli M, Hemmelgarn B, Culleton B, et al. Mortality of Canadians treated by peritoneal dialysis in remote locations. Kidney Int 2007;72:1023-8. (Pubitemid 47530567)
42. Kolesnyk I, Dekker FW, Boeschoten EW, et al. Time-dependent reasons for peritoneal dialysis technique failure and mortality. Perit Dial Int J Int Soc Perit Dial 2010;30:170-7.
43. Liberek T, Renke M, Skonieczny B, et al. Therapy outcome in peritoneal dialysis patients transferred from haemodialysis. Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc-Eur Ren Assoc 2009;24:2889-94.
44. Szeto C-C, Kwan BC-H, Chow K-M, et al. Outcome of hemodialysis patients who had failed peritoneal dialysis. Nephron Clin Pract 2010;116:c300-6.
45. Weinstein MC. Recent developments in decision-analytic modelling for economic evaluation. Pharmacoeconomics 2006;24:1043-53. (Pubitemid 44683362)