Document Detail


Conditional probability in the diagnosis of coronary artery disease: a future tool for eliminating unnecessary testing?
MedLine Citation:
PMID:  6688479     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Approximately 30% of the 300,000 coronary arteriograms done annually in the United States yield normal results. To see if the use of conditional probability in the diagnosis of coronary artery disease (CAD) could aid in predicting these normal results, we retrospectively assessed 96 patients with chest pain but without prior myocardial infarction. The probability of CAD was calculated by a computer program (CADENZA) using data from the history, exercise electrocardiography, and thallium-201 scintigraphy. All patients had coronary arteriography for definitive diagnosis. Based on preangiogram probabilities, different cutoff points were used to separate patients with angiograms likely to be normal from those likely to be abnormal. A preangiogram probability of 20% appeared to be the best separator. If the computer program, with this cutoff point, had been used to influence the decision to perform angiography, 38 of the 42 patients with negative angiograms would have been advised against it, and only two of the 54 patients who later were found to have CAD would have been missed. In view of the costs and risks of the CAD diagnostic process, the ability to identify the likelihood of positive angiograms could be useful in planning testing strategy, both in terms of avoiding "unnecessary" angiograms and avoiding redundant noninvasive procedures.
Authors:
P E Dans; J P Weiner; J A Melin; L C Becker
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Southern medical journal     Volume:  76     ISSN:  0038-4348     ISO Abbreviation:  South. Med. J.     Publication Date:  1983 Sep 
Date Detail:
Created Date:  1983-10-28     Completed Date:  1983-10-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0404522     Medline TA:  South Med J     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1118-21     Citation Subset:  AIM; IM    
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MeSH Terms
Descriptor/Qualifier:
Angiography
Bayes Theorem
Computers*
Coronary Angiography
Coronary Disease / diagnosis*
Female
Humans
Male
Middle Aged
Retrospective Studies
Software*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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