Linked Life Data

18852864

Source:http://linkedlifedata.com/resource/pubmed/id/18852864

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-10-14
pubmed:abstractText
* Diagnostic accuracy studies address how well a test identifies the target condition of interest. * Sensitivity, specificity, predictive values and likelihood ratios (LRs) are all different ways of expressing test performance. * Receiver operating characteristic (ROC) curves compare sensitivity versus specificity across a range of values for the ability to predict a dichotomous outcome. Area under the ROC curve is another measure of test performance. * All of these parameters are not intrinsic to the test and are determined by the clinical context in which the test is employed. * High sensitivity corresponds to high negative predictive value and is the ideal property of a "rule-out" test. * High specificity corresponds to high positive predictive value and is the ideal property of a "rule-in" test. * LRs leverage pre-test into post-test probabilities of a condition of interest and there is some evidence that they are more intelligible to users.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:month
Aug
pubmed:issn
0159-8090
pubmed:author
pubmed:issnType
Print
pubmed:volume
29 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S83-7
pubmed:year
2008
pubmed:articleTitle
Sensitivity, specificity, receiver-operating characteristic (ROC) curves and likelihood ratios: communicating the performance of diagnostic tests.
pubmed:affiliation
Canterbury Health Laboratories, Christchurch, New Zealand. Chris.Florkowski@cdhb.govt.nz
pubmed:publicationType
Journal Article