Literature DB >> 1513210

Clinical assessment of the probability of coronary artery disease: judgmental bias from personal knowledge.

M Bobbio1, R Detrano, A H Shandling, M H Ellestad, J Clark, O Brezden, A Abecia, D Martinez-Caro.   

Abstract

Probability estimates of angiographic coronary artery disease made by experienced, board-certified staff cardiologists were compared with those of cardiologists in training (fellows). In addition, estimates made before coronary angiography were compared with those made several months later based on written clinical summaries of 15 items of objective clinical and test data. Cardiologists were asked to estimate the probabilities of coronary artery disease, multivessel disease, and triple-vessel or left main disease. The study population consisted of 510 consecutive patients without valvular disease referred for the first time for coronary angiography to three hospitals. Both staff and fellows consistently overestimated the pre-angiographic probability of coronary artery disease. The probabilities estimated from patient summaries were always significantly lower than the pre-angiographic assessments. Only staff cardiologists reliably assessed the probabilities of coronary artery disease during the second assessment (p less than 0.05). Thus, estimates of disease probability based on clinical judgment vary according to the source of information, and these estimates are more accurate when physicians have objective data on hand and do not know the identities of the patients.

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Year:  1992        PMID: 1513210     DOI: 10.1177/0272989X9201200305

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  6 in total

1.  Diagnosis: highlighting the gaps.

Authors:  Sharon E Straus
Journal:  J Gen Intern Med       Date:  2003-03       Impact factor: 5.128

2.  The inability of physicians to predict the outcome of in-hospital resuscitation.

Authors:  M H Ebell; G R Bergus; L Warbasse; R Bloomer
Journal:  J Gen Intern Med       Date:  1996-01       Impact factor: 5.128

3.  Predictors for waiting time for coronary angioplasty in a high risk population.

Authors:  B Gaffney; F Kee
Journal:  Qual Health Care       Date:  1995-12

4.  Could our pretest probabilities become evidence based? A prospective survey of hospital practice.

Authors:  W Scott Richardson; Walter A Polashenski; Brett W Robbins
Journal:  J Gen Intern Med       Date:  2003-03       Impact factor: 5.128

5.  Access to coronary catheterisation: fair shares for all?

Authors:  F Kee; B Gaffney; S Currie; D O'Reilly
Journal:  BMJ       Date:  1993-11-20

Review 6.  Towards evidence-based diagnosis in developing countries: the use of likelihood ratios for robust quick diagnosis.

Authors:  Akbar Soltani; Alireza Moayyeri
Journal:  Ann Saudi Med       Date:  2006 May-Jun       Impact factor: 1.526

  6 in total

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