ATS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Michael A. Borger
Tirone E. David
Gideon Cohen
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ivanov, J.
Right arrow Articles by Naylor, C. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ivanov, J.
Right arrow Articles by Naylor, C. D.

Ann Thorac Surg 2000;70:162-168
© 2000 The Society of Thoracic Surgeons


Original articles: Cardiovascular

Predictive accuracy study: comparing a statistical model to clinicians’ estimates of outcomes after coronary bypass surgery

Joan Ivanov, MSca, Michael A. Borger, MDa, Tirone E. David, MDa, Gideon Cohen, MDa, Nancy Walton, BSca, C. David Naylor, MD, DPhila

a Division of Cardiovascular Surgery, the Toronto General Hospital and University of Toronto, Toronto, Ontario, Canada

Address reprint requests to Ms Ivanov, Division of Cardiovascular Surgery, Toronto General Hospital, CCRW 4-803, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4
e-mail: joan.ivanov{at}uhn.on.ca

Background. The purpose of this study was to compare clinicians’ prior probability estimates of operative mortality (OM) and prolonged intensive care unit stay (ICU) length of stay greater than 48 hours after coronary artery bypass graft surgery (CABG) with estimates derived from statistical models alone.

Methods. Nine clinicians estimated the predicted probability of OM and ICU stay greater than 48 hours from an abstract of information for each of 100 patients selected from the 1996 to 1997 database of 1,904 patients who underwent isolated CABG. Logistic regression models were used to calculate the predicted probability of OM and ICU stay greater than 48 hours for each patient. The study sample was split into two parts; clinicians were randomly given access to a predictive rule to guide their judgements for one part of the study.

Results. Clinicians’ estimates were similar with or without access to the rule, and both parts of the study were therefore pooled. Clinicians significantly overestimated the probability of OM (model 6.3% ± 1%, clinicians 7.6% ± 3%, p = 0.0001) and ICU stay greater than 48 hours (model 25% ± 2%, clinicians 28% ± 1%, p = 0.0012). Clinicians’ estimates of OM were not significantly higher than the model’s for nonsurvivors (0.8% ± 0.7%, p = 0.2), but were significantly higher for survivors (1.4% ± 0.3%, p = 0.039).

Conclusions. Clinicians trusted their own empiric estimates rather than a predictive rule and overestimated the probability of OM and ICU stay greater than 48 hours.




This article has been cited by other articles:


Home page
BMJHome page
D. G Altman, Y. Vergouwe, P. Royston, and K. G M Moons
Prognosis and prognostic research: validating a prognostic model
BMJ, May 28, 2009; 338(may28_1): b605 - b605.
[Full Text]


Home page
Eur Heart JHome page
J. Nilsson, L. Algotsson, P. Hoglund, C. Luhrs, and J. Brandt
Comparison of 19 pre-operative risk stratification models in open-heart surgery
Eur. Heart J., April 1, 2006; 27(7): 867 - 874.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
N. D. Desai, M. P. Pelletier, H. R. Mallidi, G. T. Christakis, G. N. Cohen, S. E. Fremes, and B. S. Goldman
Why Is Off-Pump Coronary Surgery Uncommon in Canada? Results of a Population-Based Survey of Canadian Heart Surgeons
Circulation, September 14, 2004; 110(11_suppl_1): II-7 - II-12.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
L. Liao and D. B. Mark
Clinical prediction models: are we building better mousetraps?
J. Am. Coll. Cardiol., September 3, 2003; 42(5): 851 - 853.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
ANN THORAC SURG ASIAN CARDIOVASC THORAC ANN EUR J CARDIOTHORAC SURG
J THORAC CARDIOVASC SURG ICVTS ALL CTSNet JOURNALS
Copyright © 2000 by The Society of Thoracic Surgeons.