Cardiac surgery risk models: a position article.

[1]  Douglas G. Altman,et al.  Categorizing Continuous Variables , 2005 .

[2]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[3]  J. Ornato,et al.  ACC/AHA 2004 guideline update for coronary artery bypass graft surgery: summary article: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1999 Guidelines for Coronary Artery Bypass Graft Surgery). , 2004, Circulation.

[4]  E. DeLong,et al.  Procedural volume as a marker of quality for CABG surgery. , 2004, JAMA.

[5]  E. Hannan,et al.  Predictors of readmission for complications of coronary artery bypass graft surgery. , 2003, JAMA.

[6]  Laura P Coombs,et al.  Use of continuous quality improvement to increase use of process measures in patients undergoing coronary artery bypass graft surgery: a randomized controlled trial. , 2003, JAMA.

[7]  Laura P Coombs,et al.  The Society of Thoracic Surgeons: 30-day operative mortality and morbidity risk models. , 2003, The Annals of thoracic surgery.

[8]  G. Grunkemeier,et al.  Understanding logistic regression analysis in clinical reports: an introduction. , 2003, The Annals of thoracic surgery.

[9]  E. DeLong.  Hierarchical modeling: its time has come. , 2003, American heart journal.

[10]  Harvey Goldstein,et al.  Multilevel modelling of medical data , 2002, Statistics in medicine.

[11]  J. Birkmeyer,et al.  Adjusting surgical mortality rates for patient comorbidities: more harm than good? , 2002, Surgery.

[12]  E. Peterson,et al.  The risks of moderate and extreme obesity for coronary artery bypass grafting outcomes: a study from the Society of Thoracic Surgeons' database. , 2002, The Annals of thoracic surgery.

[13]  C. Vahl,et al.  Minimal Early Mortality in CABG - Simply a Question of Surgical Quality? , 2002, The Thoracic and cardiovascular surgeon.

[14]  G. Miller.  Breaking Down Barriers , 2002, Science.

[15]  G. Grunkemeier,et al.  Propensity score analysis of stroke after off-pump coronary artery bypass grafting. , 2002, The Annals of thoracic surgery.

[16]  E. DeLong,et al.  Hospital variability in length of stay after coronary artery bypass surgery: results from the Society of Thoracic Surgeon's National Cardiac Database. , 2002, The Annals of thoracic surgery.

[17]  Bradley G Hammill,et al.  Validation of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in North American cardiac surgery. , 2002, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[18]  E. Peterson,et al.  Preoperative beta-blocker use and mortality and morbidity following CABG surgery in North America. , 2002, JAMA.

[19]  Bradley G Hammill,et al.  A decade of change--risk profiles and outcomes for isolated coronary artery bypass grafting procedures, 1990-1999: a report from the STS National Database Committee and the Duke Clinical Research Institute. Society of Thoracic Surgeons. , 2002, The Annals of thoracic surgery.

[20]  O. Alfieri,et al.  Inaccuracy of four coronary surgery risk-adjusted models to predict mortality in individual patients. , 2002, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[21]  E. Blackstone.  Comparing apples and oranges. , 2002, The Journal of thoracic and cardiovascular surgery.

[22]  S L Normand,et al.  Cardiac surgery report cards: comprehensive review and statistical critique. , 2001, The Annals of thoracic surgery.

[23]  G. Grunkemeier,et al.  Cardiac surgery report cards: making the grade. , 2001, The Annals of thoracic surgery.

[24]  A L Shroyer,et al.  A Decade’s Experience With Quality Improvement in Cardiac Surgery Using the Veterans Affairs and Society of Thoracic Surgeons National Databases , 2001, Annals of surgery.

[25]  A L Shroyer,et al.  Off-pump coronary artery bypass grafting decreases risk-adjusted mortality and morbidity. , 2001, The Annals of thoracic surgery.

[26]  E. Blackstone,et al.  Breaking down barriers: helpful breakthrough statistical methods you need to understand better. , 2001, The Journal of thoracic and cardiovascular surgery.

[27]  Leo Breiman,et al.  Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001 .

[28]  G. Grunkemeier,et al.  Receiver operating characteristic curve analysis of clinical risk models. , 2001, The Annals of thoracic surgery.

[29]  E. DeLong,et al.  Prediction of operative mortality after valve replacement surgery. , 2001, Journal of the American College of Cardiology.

[30]  A L Shroyer,et al.  Effects of race, with or without gender, on operative mortality after coronary artery bypass grafting: a study using The Society of Thoracic Surgeons National Database. , 2001, The Annals of thoracic surgery.

[31]  J. Habbema,et al.  Prognostic Modeling with Logistic Regression Analysis , 2001, Medical decision making : an international journal of the Society for Medical Decision Making.

[32]  Frank E. Harrell,et al.  Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis , 2001 .

[33]  Leo Breiman,et al.  Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001, Statistical Science.

[34]  E. Steyerberg.  Ranking of surgical performance. , 2000, Circulation.

[35]  J. Habbema,et al.  Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. , 2000, Statistics in medicine.

[36]  A. Bernstein,et al.  Bedside estimation of risk as an aid for decision-making in cardiac surgery. , 2000, The Annals of thoracic surgery.

[37]  A L Shroyer,et al.  The STS National Database: current changes and challenges for the new millennium. Committee to Establish a National Database in Cardiothoracic Surgery, The Society of Thoracic Surgeons. , 2000, The Annals of thoracic surgery.

[38]  J. Alpert,et al.  ACC/AHA guidelines for coronary artery bypass graft surgery , 1999 .

[39]  W. S. Ring,et al.  The Society of Thoracic Surgeons National Congenital Heart Surgery Database Report: analysis of the first harvest (1994-1997). , 1999, The Annals of thoracic surgery.

[40]  S. Lemeshow,et al.  European system for cardiac operative risk evaluation (EuroSCORE). , 1999, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[41]  H. Krumholz.  Mathematical models and the assessment of performance in cardiology. , 1999, Circulation.

[42]  C D Naylor,et al.  Ready-made, recalibrated, or Remodeled? Issues in the use of risk indexes for assessing mortality after coronary artery bypass graft surgery. , 1999, Circulation.

[43]  C. Vahl,et al.  The meaning of early mortality after CABG. , 1999, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[44]  F. Grover,et al.  Risk stratification for cardiac valve replacement. National Cardiac Surgery Database. Database Committee of The Society of Thoracic Surgeons. , 1999, The Annals of thoracic surgery.

[45]  J. Schafer.  Multiple imputation: a primer , 1999, Statistical methods in medical research.

[46]  A L Shroyer,et al.  The 1996 coronary artery bypass risk model: the Society of Thoracic Surgeons Adult Cardiac National Database. , 1998, The Annals of thoracic surgery.

[47]  S. Nashef,et al.  Eurp-pean system for cardiac operative risk evaluation (Euro SCORE) , 1999 .

[48]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[49]  Edwards Fh.  Evolution of the Society of Thoracic Surgeons National Cardiac Surgery Database. , 1998 .

[50]  E. DeLong,et al.  The effects of New York's bypass surgery provider profiling on access to care and patient outcomes in the elderly. , 1998, Journal of the American College of Cardiology.

[51]  F. Grover,et al.  Impact of gender on coronary bypass operative mortality. , 1998, The Annals of thoracic surgery.

[52]  Jan de Leeuw,et al.  Introducing Multilevel Modeling , 1998 .

[53]  S W Dziuban,et al.  Using information from databases to improve clinical practice: lessons learned under fire. , 1997, The Annals of thoracic surgery.

[54]  C D Naylor,et al.  Assessing the outcomes of coronary artery bypass graft surgery: how many risk factors are enough? Steering Committee of the Cardiac Care Network of Ontario. , 1997, Journal of the American College of Cardiology.

[55]  R. Bolman,et al.  Establishing and using a local/regional cardiac surgery database. , 1997, The Annals of thoracic surgery.

[56]  Gary J. Young,et al.  Validating risk-adjusted surgical outcomes: site visit assessment of process and structure1 , 1997 .

[57]  M. Glickman,et al.  Statistical Methods for Profiling Providers of Medical Care: Issues and Applications , 1997 .

[58]  Warner Ba.  Thoughts and considerations on modeling coronary bypass surgery risk. , 1997 .

[59]  R. Lippmann,et al.  Coronary artery bypass risk prediction using neural networks. , 1997, Annals of Thoracic Surgery.

[60]  R. Orr,et al.  Use of a Probabilistic Neural Network to Estimate the Risk of Mortality after Cardiac Surgery , 1997, Medical decision making : an international journal of the Society for Medical Decision Making.

[61]  A. Shroyer,et al.  The Society of Thoracic Surgeons National Cardiac Surgery Database: current risk assessment. , 1997, The Annals of thoracic surgery.

[62]  E. Hannan,et al.  Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough? , 1997, Health services research.

[63]  L I Iezzoni,et al.  The risks of risk adjustment. , 1997, JAMA.

[64]  E L Hannan,et al.  Identification of preoperative variables needed for risk adjustment of short-term mortality after coronary artery bypass graft surgery. The Working Group Panel on the Cooperative CABG Database Project. , 1996, Journal of the American College of Cardiology.

[65]  A. Shroyer,et al.  Calculating risk and outcome: the Veterans Affairs database. , 1996, The Annals of thoracic surgery.

[66]  Harvey Goldstein,et al.  League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance , 1996 .

[67]  Russell L. Stogsdill,et al.  A regional intervention to improve the hospital mortality associated with coronary artery bypass graft surgery. The Northern New England Cardiovascular Disease Study Group. , 1996, JAMA.

[68]  Clark Re.  The development of The Society of Thoracic Surgeons voluntary national database system: genesis, issues, growth, and status. , 1996 .

[69]  F. Harrell,et al.  Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .

[70]  Clark Re.  Outcome as a function of annual coronary artery bypass graft volume , 1996 .

[71]  F L Grover,et al.  Volume requirements for cardiac surgery credentialing: a critical examination. The Ad Hoc Committee on Cardiac Surgery Credentialing of The Society of Thoracic Surgeons. , 1996, The Annals of thoracic surgery.

[72]  L. Iezzoni,et al.  Judging hospitals by severity-adjusted mortality rates: the case of CABG surgery. , 1996, Inquiry : a journal of medical care organization, provision and financing.

[73]  Thomas A. Louis,et al.  League tables and their limitations: Statistical issues in comparisons of institutional performance - Discussion , 1996 .

[74]  J. Mayer,et al.  The Society of Thoracic Surgeons' National Congenital Heart Surgery Database. , 1999, The Annals of thoracic surgery.

[75]  A. Shroyer,et al.  Quality initiatives and the power of the database: what they are and how they run. , 1995, The Annals of thoracic surgery.

[76]  V. Parsonnet.  Risk Stratification in Cardiac Surgery: Is it Worthwhile? , 1995, Journal of cardiac surgery.

[77]  B. Griffith,et al.  The Need for Accurate Risk‐Adjusted Measures of Outcome in Surgery: Lessons Learned Through Coronary Artery Bypass , 1995, Annals of Surgery.

[78]  Sankey V. Williams,et al.  Evaluation of the complication rate as a measure of quality of care in coronary artery bypass graft surgery. , 1995, JAMA.

[79]  N. Wintfeld,et al.  Report cards on cardiac surgeons. Assessing New York State's approach. , 1995, The New England journal of medicine.

[80]  G. Marshall,et al.  The Veterans Affairs Continuous Improvement in Cardiac Surgery Study. , 1994, The Annals of thoracic surgery.

[81]  P. Steen,et al.  Approaches to predictive modeling. , 1994, The Annals of thoracic surgery.

[82]  J. Daley.  Criteria by which to evaluate risk-adjusted outcomes programs in cardiac surgery. , 1994, The Annals of thoracic surgery.

[83]  K. Hammermeister,et al.  Participatory continuous improvement. , 1994, The Annals of thoracic surgery.

[84]  W G Henderson,et al.  Assessment of predictive models for binary outcomes: an empirical approach using operative death from cardiac surgery. , 1994, Statistics in medicine.

[85]  L. Iezzoni.  Risk Adjustment for Measuring Healthcare Outcomes , 1994 .

[86]  D. Naftel.  Do different investigators sometimes produce different multivariable equations from the same data? , 1994, The Journal of thoracic and cardiovascular surgery.

[87]  N T Longford,et al.  Empirical Bayes methods for estimating hospital-specific mortality rates. , 1994, Statistics in medicine.

[88]  E L Hannan,et al.  Improving the outcomes of coronary artery bypass surgery in New York State. , 1994, JAMA.

[89]  F L Grover,et al.  Continuous Assessment and Improvement in Quality of Care A Model from the Department of Veterans Affairs Cardiac Surgery , 1994, Annals of surgery.

[90]  R. E. Clark,et al.  Impact of internal mammary artery conduits on operative mortality in coronary revascularization. , 1994, The Annals of thoracic surgery.

[91]  R. Tibshirani,et al.  An Introduction to the Bootstrap , 1995 .

[92]  F. Grover,et al.  Report of the Ad Hoc Committee on Physician-Specific Mortality Rates for Cardiac Surgery. , 1993, The Annals of thoracic surgery.

[93]  H S Luft,et al.  Chance, continuity, and change in hospital mortality rates. Coronary artery bypass graft patients in California hospitals, 1983 to 1989. , 1993, JAMA.

[94]  E L Hannan,et al.  Clinical Versus Administrative Data Bases for CABG Surgery: Does it Matter , 1992, Medical care.

[95]  J. Wennberg,et al.  Multivariate Prediction of In‐Hospital Mortality Associated With Coronary Artery Bypass Graft Surgery , 1992 .

[96]  D. Altman.  Categorising continuous variables. , 1991, British Journal of Cancer.

[97]  J. Wennberg,et al.  A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. The Northern New England Cardiovascular Disease Study Group. , 1991, JAMA.

[98]  E. Hannan,et al.  Adult open heart surgery in New York State. An analysis of risk factors and hospital mortality rates. , 1990, JAMA.

[99]  J. C. van Houwelingen,et al.  Predictive value of statistical models , 1990 .

[100]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[101]  R. Jones.  In search of the optimal surgical mortality. , 1989, Circulation.

[102]  A. Bernstein,et al.  A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. , 1989, Circulation.

[103]  F. Grover,et al.  Report of the Ad Hoc Committee on Risk Factors for Coronary Artery Bypass Surgery. , 1988, The Annals of thoracic surgery.

[104]  D. Rubin,et al.  Statistical Analysis with Missing Data. , 1989 .

[105]  D J Spiegelhalter,et al.  Probabilistic prediction in patient management and clinical trials. , 1986, Statistics in medicine.

[106]  R. D. Alley,et al.  The society of thoracic surgeons. , 1976, The Annals of thoracic surgery.