Delays for coronary artery bypass surgery: how long is too long?

References

• Rihal CS, Raco DL, Gersh BJ, Yusuf S. Indications for coronary artery bypass surgery and percutaneous coronary intervention in chronic stable angina: review of the evidence and methodological considerations. Circulation108, 2439–2445 (2003).
   PubMed Web of Science ®Google Scholar
• Schaafsma J. Are there better ways to determine wait times? CMAJ174, 1551–1552 (2006).
   PubMedGoogle Scholar
• Noseworthy TW, McGurran JJ, Hadorn DC. Waiting for scheduled services in Canada: development of priority-setting scoring systems. J. Eval. Clin. Pract.9, 23–31 (2003).
   PubMed Web of Science ®Google Scholar
• Sobolev B, Levy AL, Hayden RH, Kuramoto L. Does wait-list size at registration influence time to surgery? Analysis of a population-based cardiac surgery registry. Health Serv. Res.41, 23–49 (2006).
   PubMedGoogle Scholar
• O’Neill BJ, Brophy JM, Simpson CS et al. General commentary on access to cardiovascular care in Canada: universal access, but when? Treating the right patient at the right time. Can. J. Cardiol.21, 1272–1276 (2005).
   PubMedGoogle Scholar
• Sherlaw-Johnson C. Managing waiting lists for cardiac surgery. Heart81, 563 (1999).
   PubMedGoogle Scholar
• Bernstein SJ, Rigter H, Brorsson B et al. Waiting for coronary revascularization: a comparison between New York State, The Netherlands and Sweden. Health Policy42, 15–27 (1997).
   PubMedGoogle Scholar
• Morgan CD, Sykora K, Naylor CD. Analysis of deaths while waiting for cardiac surgery among 29,293 consecutive patients in Ontario, Canada. Heart79, 345–349 (1998).
   PubMedGoogle Scholar
• Ray AA, Buth KJ, Sullivan JA, Johnstone DE, Hirsch GM. Waiting for cardiac surgery: results of a risk-stratified queuing process. Circulation104, I92–I98 (2001).
   Web of Science ®Google Scholar
• Koomen EM, Hutten BA, Kelder JC et al. Morbidity and mortality in patients waiting for coronary artery bypass surgery. Eur. J. Cardiothorac. Surg.19, 260–265 (2001).
   PubMedGoogle Scholar
• Rexius H, Brandrup-Wognsen G, Oden A, Jeppsson A. Gender and mortality risk on the waiting list for coronary artery bypass grafting. Eur. J. Cardiothorac. Surg.26, 521–527 (2004).
   PubMedGoogle Scholar
• Cox JL, Petrie JF, Pollak PT, Johnstone DE. Managed delay for coronary artery bypass graft surgery: the experience at one Canadian center. J. Am. Coll. Cardiol.27, 1365–1373 (1996).
   PubMedGoogle Scholar
• Rexius H, Brandrup-Wognsen G, Oden A, Jeppsson A. Mortality on the waiting list for coronary artery bypass grafting: incidence and risk factors. Ann. Thorac. Surg.77, 769–774 (2004).
   PubMed Web of Science ®Google Scholar
• Seddon ME, French JK, Amos DJ et al. Waiting times and prioritization for coronary artery bypass surgery in New Zealand. Heart81, 586–592 (1999).
   PubMedGoogle Scholar
• Sobolev BG, Kuramoto L, Levy A, Hayden R. Methods for studying adverse events on surgical wait lists. Health Serv. Outcomes Res. Methodol.6, 139–151 (2006).
   Google Scholar
• Jackson NW, Doogue MP, Elliott JM. Priority points and cardiac events while waiting for coronary bypass surgery. Heart81, 367–373 (1999).
   PubMedGoogle Scholar
• Gooley TA, Leisenring W, Crowley J, Storer BE. Estimation of failure probabilities in the presence of competing risks: new representations of old estimators. Stat. Med.18, 695–706 (1999).
   PubMed Web of Science ®Google Scholar
• Gaynor JJ, Feuer EJ, Tan CC et al. On the use of cause-specific failure and conditional failure probabilities – examples from clinical oncology data. J. Am. Stat. Assoc.88, 400–409 (1993).
   Web of Science ®Google Scholar
• Alberti C, Metivier F, Landais P et al. Improving estimates of event incidence over time in populations exposed to other events – application to three large databases. J. Clin. Epidemiol.56, 536–545 (2003).
   PubMedGoogle Scholar
• Pepe MS, Mori M. Kaplan–Meier, marginal or conditional–probability curves in summarizing competing risks failure time data. Stat. Med.12, 737–751 (1993).
   PubMed Web of Science ®Google Scholar
• Benichou J, Gail MH. Estimates of absolute cause-specific risk in cohort studies. Biometrics46, 813–826 (1990).
   PubMed Web of Science ®Google Scholar
• Bryant J, Dignam JJ. Semiparametric models for cumulative incidence functions. Biometrics60, 182–190 (2004).
   PubMed Web of Science ®Google Scholar
• Caplan RJ, Pajak TF, Cox JD. Analysis of the probability and risk of cause-specific failure. Int. J. Radiat. Oncol. Biol. Phys.29, 1183–1186 (1994).
   PubMedGoogle Scholar
• Sobolev BG, Kuramoto L, Levy AR, Hayden R. Cumulative incidence for wait-list death in relation to length of queue for coronary-artery bypass grafting: a cohort study. J. Cardiothorac. Surg.1, 21 (2006).
   PubMed Web of Science ®Google Scholar
• Bridgewater B. Mortality data in adult cardiac surgery for named surgeons: retrospective examination of prospectively collected data on coronary artery surgery and aortic valve replacement. Br. Med. J.330, 506–510 (2005).
   PubMedGoogle Scholar
• Lin DY. Non-parametric inference for cumulative incidence functions in competing risks studies. Stat. Med.16, 901–910 (1997).
   PubMed Web of Science ®Google Scholar
• Pintilie M. Other issues in competing risks. In: Competing Risks: A Practical Perspective. Senn S, Scott M, Bloomfield P (Eds). Wiley, NJ, USA, 127–137 (2006).
   Google Scholar
• Sobolev BG, Levy AR, Kuramoto L et al. The risk of death associated with delayed coronary artery bypass surgery. BMC Health Serv. Res.6, 85 (2006).
   PubMed Web of Science ®Google Scholar
• Hannan EL, Racz MJ, Walford G et al. Long-term outcomes of coronary-artery bypass grafting versus stent implantation. N. Engl. J. Med.352, 2174–2183 (2005).
   PubMed Web of Science ®Google Scholar
• DeLong ER, Nelson CL, Wong JB et al. Using observational data to estimate prognosis: an example using a coronary artery disease registry. Stat. Med.20, 2505–2532 (2001).
   PubMedGoogle Scholar
• Fein R. On achieving access and equity in health care. Milbank Mem. Fund Q.50, 157–190 (1972).
   Google Scholar
• Fine JP, Gray RJ. A proportional hazards model for subdistribution of a competing risk. J. Am. Stat. Assoc.94, 496–509 (1999).
   Web of Science ®Google Scholar
• Klein JP, Andersen PK. Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics61, 223–229 (2005).
   PubMed Web of Science ®Google Scholar
• Sobolev B, Kuramoto L. Waits and outcomes: what should be reported. In: Analysis of Waiting-Time Data in Health Services Research. Springer, NY, USA (2008).
   Google Scholar