New methods for estimating pretest probability in the diagnosis of pulmonary embolism

Details

Serval ID
serval:BIB_EE6A78555823
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
New methods for estimating pretest probability in the diagnosis of pulmonary embolism
Journal
Current Opinion in Pulmonary Medicine
Author(s)
Ghali  W. A., Cornuz  J., Perrier  A.
ISSN
1070-5287 (Print)
Publication state
Published
Issued date
09/2001
Volume
7
Number
5
Pages
349-53
Notes
Journal Article
Research Support, Non-U.S. Gov't
Review --- Old month value: Sep
Abstract
The clinical assessment of the probability of pulmonary embolism is a key step in proposed diagnostic strategies for pulmonary embolism, because the interpretation of noninvasive test results is conditional on the pretest probability derived from the presence or absence of clinical factors. The past year has brought important progress in the general area of clinical prediction of pulmonary embolism with the publication of two new simple clinical prediction rules. Each of the prediction rules includes a total of seven clinical variables that, when combined, allow for the categorization of patients into categories of low, intermediate, or high pretest probability of pulmonary embolism. Although these clinical prediction rules are perhaps only slightly better than the estimates of experienced clinicians, they provide an explicit method for estimating the probability of PE as an adjunct to diagnostic testing. Further validation work is now needed to assess how well these new prediction rules perform in settings other than the derivation sites.
Keywords
Algorithms Diagnosis, Differential Humans Practice Guidelines Predictive Value of Tests Pulmonary Embolism/*diagnosis Risk Assessment/*methods
Pubmed
Create date
25/01/2008 13:42
Last modification date
20/08/2019 16:15
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