Linked Life Data

10694163

Source:http://linkedlifedata.com/resource/pubmed/id/10694163

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-3-8
pubmed:abstractText
Accuracy assessment of diagnostic tests may be seriously biased if an imperfect reference test is used such as parasitology in the diagnosis of visceral leishmaniasis. We compared classical validity analysis of serological tests for Leishmania infantum with Latent Class Analysis (LCA), to assess whether it circumvented the gold standard problem. Clinical status, three serological tests (IFAT, ELISA and DAT) and parasitological data were recorded for 151 dogs captured in an endemic area. Sensitivity and specificity estimates from the 2x2 contingency tables were broadly corroborated by LCA, but the latter method provided more precise estimates that were robust for the different fitted models. It furthermore yielded a higher prevalence of infection and indicated that parasitology was only 55% sensitive. LCA seems a promising technique for test validation, but caution is required when applying it to sparse data sets. The feasibility and applicability of LCA in infectious disease epidemiology is discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0950-2688
pubmed:author
pubmed:issnType
Print
pubmed:volume
123
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
499-506
pubmed:dateRevised
2010-3-3
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
The potential of latent class analysis in diagnostic test validation for canine Leishmania infantum infection.
pubmed:affiliation
Department of Public Health, Prince Leopold Institute of Tropical Medicine, Antwerpen, Belgium.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't