The potential of Latent Class Analysis in diagnostic test validation for canine Leishmania infantum infection

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 whe...

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Veröffentlicht in:Epidemiology and infection 1999-12, Vol.123 (3), p.499-506
Hauptverfasser: BOELAERT, M., AOUN, K., LIINEV, J., GOETGHEBEUR, E., VAN DER STUYFT, P.
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container_end_page 506
container_issue 3
container_start_page 499
container_title Epidemiology and infection
container_volume 123
creator BOELAERT, M.
AOUN, K.
LIINEV, J.
GOETGHEBEUR, E.
VAN DER STUYFT, P.
description 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 2×2 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.
doi_str_mv 10.1017/S0950268899003040
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Infect</addtitle><date>1999-12-01</date><risdate>1999</risdate><volume>123</volume><issue>3</issue><spage>499</spage><epage>506</epage><pages>499-506</pages><issn>0950-2688</issn><eissn>1469-4409</eissn><coden>EPINEU</coden><abstract>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 2×2 contingency tables were broadly corroborated by LCA, but the latter method provided more precise estimates that were robust for the different fitted models. 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ispartof Epidemiology and infection, 1999-12, Vol.123 (3), p.499-506
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source Jstor Complete Legacy; MEDLINE; PubMed Central
subjects Animal protozoal diseases
Animals
Biological and medical sciences
Canines
Disease models
Dog Diseases - diagnosis
Dog Diseases - epidemiology
Dog Diseases - parasitology
Dogs
Epidemiology
Infections
Infectious diseases
Leishmania infantum
Leishmania infantum - pathogenicity
Leishmaniasis, Visceral - diagnosis
Leishmaniasis, Visceral - epidemiology
Leishmaniasis, Visceral - veterinary
Life Sciences
Medical diagnostic tests
Medical sciences
Microbiology and Parasitology
Parametric models
Parasitic diseases
Parasitology
Predictive Value of Tests
Prevalence
Protozoal diseases
Reference Values
Santé publique et épidémiologie
Sensitivity and Specificity
Serologic Tests
Visceral leishmaniasis
title The potential of Latent Class Analysis in diagnostic test validation for canine Leishmania infantum infection
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