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The use of “overall accuracy” to evaluate the validity of screening or diagnostic tests

Overview of attention for article published in Journal of General Internal Medicine, May 2004
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Title
The use of “overall accuracy” to evaluate the validity of screening or diagnostic tests
Published in
Journal of General Internal Medicine, May 2004
DOI 10.1111/j.1525-1497.2004.30091.x
Pubmed ID
Authors

Anthony J. Alberg, Ji Wan Park, Brant W. Hager, Malcolm V. Brock, Marie Diener-West

Abstract

Evaluations of screening or diagnostic tests sometimes incorporate measures of overall accuracy, diagnostic accuracy, or test efficiency. These terms refer to a single summary measurement calculated from 2 x 2 contingency tables that is the overall probability that a patient will be correctly classified by a screening or diagnostic test. We assessed the value of overall accuracy in studies of test validity, a topic that has not received adequate emphasis in the clinical literature. Guided by previous reports, we summarize the issues concerning the use of overall accuracy. To document its use in contemporary studies, a search was performed for test evaluation studies published in the clinical literature from 2000 to 2002 in which overall accuracy derived from a 2 x 2 contingency table was reported. Overall accuracy is the weighted average of a test's sensitivity and specificity, where sensitivity is weighted by prevalence and specificity is weighted by the complement of prevalence. Overall accuracy becomes particularly problematic as a measure of validity as 1) the difference between sensitivity and specificity increases and/or 2) the prevalence deviates away from 50%. Both situations lead to an increasing deviation between overall accuracy and either sensitivity or specificity. A summary of results from published studies (N = 25) illustrated that the prevalence-dependent nature of overall accuracy has potentially negative consequences that can lead to a distorted impression of the validity of a screening or diagnostic test. Despite the intuitive appeal of overall accuracy as a single measure of test validity, its dependence on prevalence renders it inferior to the careful and balanced consideration of sensitivity and specificity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Spain 2 1%
Malaysia 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Grenada 1 <1%
Unknown 190 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 17%
Student > Ph. D. Student 26 13%
Student > Master 22 11%
Student > Bachelor 22 11%
Other 14 7%
Other 48 24%
Unknown 35 18%
Readers by discipline Count As %
Medicine and Dentistry 43 22%
Agricultural and Biological Sciences 22 11%
Engineering 15 8%
Nursing and Health Professions 11 6%
Computer Science 11 6%
Other 54 27%
Unknown 44 22%
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 10 May 2020.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,057
of 7,806 outputs
Outputs of similar age
#53,671
of 59,637 outputs
Outputs of similar age from Journal of General Internal Medicine
#26
of 31 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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