1. Payet C, Lifante J-C, Carty MJ, Rabilloud M, Duclos A. Methodological Quality of Surgical Mortality Studies Using Large Hospital Databases: A Systematic Review. Ann Surg. 2017;265:1113–8.
2. Dudley RA, Johansen KL, Brand R, Rennie DJ, Milstein A. Selective Referral to High-Volume Hospitals: Estimating Potentially Avoidable Deaths. JAMA. 2000;283:1159.
3. Gandjour A, Bannenberg A, Lauterbach KW. Threshold Volumes Associated With Higher Survival in Health Care: A Systematic Review. Med Care. 2003;41:1129–41.
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.
5. Killeen SD, O’Sullivan MJ, Coffey JC, Kirwan WO, Redmond HP. Provider volume and outcomes for oncological procedures. Br J Surg. 2005;92:389–402.
6. Luft HS, Hunt SS, Maerki SC. The volume-outcome relationship: practice-makes-perfect or selective-referral patterns? Health Serv Res. 1987;22:157–82.
7. Gordon TA, Bowman HM, Tielsch JM, Bass EB, Burleyson GP, Cameron JL. Statewide regionalization of pancreaticoduodenectomy and its effect on in-hospital mortality. Ann Surg. 1998;228:71–8.
8. Learn PA, Bach PB. A decade of mortality reductions in major oncologic surgery: the impact of centralization and quality improvement. Med Care. 2010;48:1041–9.
9. Birkmeyer JD, Dimick JB, Staiger DO. Operative mortality and procedure volume as predictors of subsequent hospital performance. Ann Surg. 2006;243:411–7.
10. Reames BN, Ghaferi AA, Birkmeyer JD, Dimick JB. Hospital volume and operative mortality in the modern era. Ann Surg. 2014;260:244–51.
11. 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.
12. de Cruppé W, Ohmann C, Blum K, Geraedts M. Evaluating compulsory minimum volume standards in Germany: how many hospitals were compliant in 2004? BMC Health Serv Res. 2007;7:165.
13. Kim W, Wolff S, Ho V. Measuring the Volume-Outcome Relation for Complex Hospital Surgery. Appl Health Econ Health Policy. 2016;14:453–64.
14. LaPar DJ, Kron IL, Jones DR, Stukenborg GJ, Kozower BD. Hospital procedure volume should not be used as a measure of surgical quality. Ann Surg. 2012;256:606–15.
15. Livingston EH, Cao J. Procedure volume as a predictor of surgical outcomes. JAMA. 2010;304:95–7.
16. Duclos A, Lifante J-C. Hospital Administrative Data Should Not be Used to Study Thyroid Surgery Outcomes. Ann Surg. 2018;267:e78.
17. Sund R. Modeling the volume-effectiveness relationship in the case of hip fracture treatment in Finland. BMC Health Serv Res. 2010;10:238.
18. Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, et al. Association of hospital volume with readmission rates: a retrospective cross-sectional study. BMJ. 2015;350:h447.
19. Kanhere HA, Trochsler MI, Kanhere MH, Lord AN, Maddern GJ. Pancreaticoduodenectomy: outcomes in a low-volume, specialised Hepato Pancreato Biliary unit. World J Surg. 2014;38:1484–90.
20. Goldschlager T, Selvanathan S, Walker DG. Can a “novice” do aneurysm surgery? Surgical outcomes in a low-volume, non-subspecialised neurosurgical unit. J Clin Neurosci. 2007;14:1055–61.
21. Jha AK. Back to the Future: Volume as a Quality Metric. JAMA. 2015;314:214–5.
22. Gonzalez AA, Dimick JB, Birkmeyer JD, Ghaferi AA. Understanding the volume-outcome effect in cardiovascular surgery: the role of failure to rescue. JAMA Surg. 2014;149:119–23.
23. Xu R, Carty MJ, Orgill DP, Lipsitz SR, Duclos A. The teaming curve: a longitudinal study of the influence of surgical team familiarity on operative time. Ann Surg. 2013;258:953–7.
24. Maruthappu M, El-Harasis MA, Nagendran M, Orgill DP, McCulloch P, Duclos A, et al. Systematic review of methodological quality of individual performance measurement in surgery. Br J Surg. 2014;101:1491–8. discussion 1498.
25. Flood AB, Scott WR, Ewy W. Does practice make perfect? Part I: The relation between hospital volume and outcomes for selected diagnostic categories. Med Care. 1984;22:98–114.
26. Flood AB, Scott WR, Ewy W. Does practice make perfect? Part II: The relation between volume and outcomes and other hospital characteristics. Med Care. 1984;22:115–25.
27. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.
28. Halfon P, Eggli Y, van Melle G, Chevalier J, Wasserfallen JB, Burnand B. Measuring potentially avoidable hospital readmissions. J Clin Epidemiol. 2002;55:573–87.
29. Halfon P, Eggli Y, Prêtre-Rohrbach I, Meylan D, Marazzi A, Burnand B. Validation of the potentially avoidable hospital readmission rate as a routine indicator of the quality of hospital care. Med Care. 2006;44:972–81.
30. Hartigan JA, Wong MA. Algorithm. AS 136: A K-Means Clustering Algorithm. Appl Stat. 1979;28:100.
31. Varadhan R, Weiss CO, Segal JB, Wu AW, Scharfstein D, Boyd C. Evaluating health outcomes in the presence of competing risks: a review of statistical methods and clinical applications. Med Care. 2010;48(6 Suppl):96–105.
32. Glidden DV, Vittinghoff E. Modelling clustered survival data from multicentre clinical trials. Stat Med. 2004;23:369–88.
33. Marrie RA, Dawson NV, Garland A. Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables. J Clin Epidemiol. 2009;62:511–7.e1.
34. Hamilton BH, Ho V. Does practice make perfect? Examining the relationship between hospital surgical volume and outcomes for hip fracture patients in Quebec. Med Care. 1998;36:892–903.
35. Brown JB, Rosengart MR, Kahn JM, Mohan D, Zuckerbraun BS, Billiar TR, et al. Impact of Volume Change Over Time on Trauma Mortality in the United States. Ann Surg. 2017;266:173–8.
36. Marcin JP, Romano PS. Impact of between-hospital volume and within-hospital volume on mortality and readmission rates for trauma patients in California. Crit Care Med. 2004;32:1477–83.
37. Ghaferi AA, Birkmeyer JD, Dimick JB. Hospital volume and failure to rescue with high-risk surgery. Med Care. 2011;49:1076–81.
38. Iezzoni LI. Assessing quality using administrative data. Ann Intern Med. 1997;127(8 Pt 2):666–74.
39. Lilford R, Mohammed MA, Spiegelhalter D, Thomson R. Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma. Lancet. 2004;363:1147–54.
40. Maa J, Gosnell JE, Gibbs VC, Harris HW. Exporting excellence for Whipple resection to refine the Leapfrog Initiative. J Surg Res. 2007;138:189–97.
41. Stitzenberg KB, Sigurdson ER, Egleston BL, Starkey RB, Meropol NJ. Centralization of cancer surgery: implications for patient access to optimal care. J Clin Oncol. 2009;27:4671–8.
42. Finlayson SR, Birkmeyer JD, Tosteson AN, Nease RF. Patient preferences for location of care: implications for regionalization. Med Care. 1999;37:204–9.
43. Birkmeyer JD, Siewers AE, Marth NJ, Goodman DC. Regionalization of high-risk surgery and implications for patient travel times. JAMA. 2003;290:2703–8.