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Likelihood ratios increase diagnostic certainty in pulmonary embolism

Overview of attention for article published in Emergency Medicine Australasia, August 2005
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Title
Likelihood ratios increase diagnostic certainty in pulmonary embolism
Published in
Emergency Medicine Australasia, August 2005
DOI 10.1111/j.1742-6723.2005.00754.x
Pubmed ID
Authors

Kevin Chu, Anthony FT Brown

Abstract

Pulmonary embolism (PE) is a difficult diagnosis to confirm. The choice of tests has led to a myriad of algorithms. Diagnostic uncertainty can be quantified by the application of the tests' likelihood ratios (LR). Positive and negative LR enable the conversion of a pretest to a post-test probability, given a positive and negative test result, respectively. Thus, a pretest probability of <17% and a negative D-dimer with a negative LR of 0.05 (sensitivity 98%, specificity 40%) lead to a post-test probability of PE of <1%. Ventilation perfusion (V/Q) scans with a normal, very low, low, intermediate and high probability result have an LR of 0, 0.125, 0.25, 1 and 17, respectively. Also, patients with a V/Q scan result other than normal or high probability still have a post-test probability of PE from 3 to 65%. Positive and negative computed tomography pulmonary angiograms (CTPA) have an LR of 8.6 and 0.06, respectively (sensitivity 95%, specificity 89%). Patients with a high pretest probability and negative CTPA again still have a post-test probability of more than 10%. However, as the post-test probability after one test becomes the pretest probability for the next, test results used cumulatively progressively narrow the gap to a final diagnosis. The post-test probability after a D-dimer, V/Q scan, CTPA, leg ultrasound or pulmonary angiography, alone or in any combination or in any order, can be calculated using their LR. Use of LR thus assists in the precise interpretation of test results, such as in complex algorithms for PE.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Other 3 15%
Student > Bachelor 3 15%
Student > Postgraduate 2 10%
Researcher 2 10%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Medicine and Dentistry 13 65%
Psychology 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2013.
All research outputs
#22,051,351
of 24,602,766 outputs
Outputs from Emergency Medicine Australasia
#1,819
of 1,881 outputs
Outputs of similar age
#59,622
of 61,285 outputs
Outputs of similar age from Emergency Medicine Australasia
#7
of 7 outputs
Altmetric has tracked 24,602,766 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,881 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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