Sensitivities and specificities of diagnostic tests and infection prevalence of Schistosoma haematobium estimated from data on adults in villages northwest of Accra in Ghana
Identifieur interne : 000237 ( Pmc/Curation ); précédent : 000236; suivant : 000238Sensitivities and specificities of diagnostic tests and infection prevalence of Schistosoma haematobium estimated from data on adults in villages northwest of Accra in Ghana
Auteurs : Artemis Koukounari ; Joanne P. Webster ; Christl A. Donnelly ; Bethany C. Bray ; Jean Naples ; Kwabena Bosompem ; Clive ShiffSource :
- The American journal of tropical medicine and hygiene [ 0002-9637 ] ; 2009.
Abstract
Substantial uncertainties surround the sensitivities and specificities of diagnostic techniques for urinary schistosomiasis. We used Latent Class (LC) modeling to address this problem. In this study 220 adults in three villages northwest of Accra in Ghana were examined using five
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PubMed Central: 2726788
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Sensitivities and specificities of diagnostic tests and infection prevalence of <italic>Schistosoma haematobium</italic> estimated from data on adults in villages northwest of Accra in Ghana</title><author><name sortKey="Koukounari, Artemis" sort="Koukounari, Artemis" uniqKey="Koukounari A" first="Artemis" last="Koukounari">Artemis Koukounari</name></author><author><name sortKey="Webster, Joanne P" sort="Webster, Joanne P" uniqKey="Webster J" first="Joanne P." last="Webster">Joanne P. Webster</name></author><author><name sortKey="Donnelly, Christl A" sort="Donnelly, Christl A" uniqKey="Donnelly C" first="Christl A." last="Donnelly">Christl A. Donnelly</name></author><author><name sortKey="Bray, Bethany C" sort="Bray, Bethany C" uniqKey="Bray B" first="Bethany C." last="Bray">Bethany C. Bray</name></author><author><name sortKey="Naples, Jean" sort="Naples, Jean" uniqKey="Naples J" first="Jean" last="Naples">Jean Naples</name></author><author><name sortKey="Bosompem, Kwabena" sort="Bosompem, Kwabena" uniqKey="Bosompem K" first="Kwabena" last="Bosompem">Kwabena Bosompem</name></author><author><name sortKey="Shiff, Clive" sort="Shiff, Clive" uniqKey="Shiff C" first="Clive" last="Shiff">Clive Shiff</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">19270295</idno><idno type="pmc">2726788</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2726788</idno><idno type="RBID">PMC:2726788</idno><date when="2009">2009</date><idno type="wicri:Area/Pmc/Corpus">000238</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000238</idno><idno type="wicri:Area/Pmc/Curation">000237</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000237</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Sensitivities and specificities of diagnostic tests and infection prevalence of <italic>Schistosoma haematobium</italic> estimated from data on adults in villages northwest of Accra in Ghana</title><author><name sortKey="Koukounari, Artemis" sort="Koukounari, Artemis" uniqKey="Koukounari A" first="Artemis" last="Koukounari">Artemis Koukounari</name></author><author><name sortKey="Webster, Joanne P" sort="Webster, Joanne P" uniqKey="Webster J" first="Joanne P." last="Webster">Joanne P. Webster</name></author><author><name sortKey="Donnelly, Christl A" sort="Donnelly, Christl A" uniqKey="Donnelly C" first="Christl A." last="Donnelly">Christl A. Donnelly</name></author><author><name sortKey="Bray, Bethany C" sort="Bray, Bethany C" uniqKey="Bray B" first="Bethany C." last="Bray">Bethany C. Bray</name></author><author><name sortKey="Naples, Jean" sort="Naples, Jean" uniqKey="Naples J" first="Jean" last="Naples">Jean Naples</name></author><author><name sortKey="Bosompem, Kwabena" sort="Bosompem, Kwabena" uniqKey="Bosompem K" first="Kwabena" last="Bosompem">Kwabena Bosompem</name></author><author><name sortKey="Shiff, Clive" sort="Shiff, Clive" uniqKey="Shiff C" first="Clive" last="Shiff">Clive Shiff</name></author></analytic><series><title level="j">The American journal of tropical medicine and hygiene</title><idno type="ISSN">0002-9637</idno><idno type="eISSN">1476-1645</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Substantial uncertainties surround the sensitivities and specificities of diagnostic techniques for urinary schistosomiasis. We used Latent Class (LC) modeling to address this problem. In this study 220 adults in three villages northwest of Accra in Ghana were examined using five <italic>Schistosoma haematobium</italic> diagnostic measures: microscopic examination of urine for detection of <italic>S. haematobium</italic> eggs, dipsticks for detection of haematuria, tests for circulating antigens, serological antibody tests and ultrasound scans of the urinary system. Testing of the LC model indicated non-invariance of the performance of the diagnostic tests across different age groups while measurement invariance held for males and females and for the three villages. We therefore recommend the use of LC models for comparison between, and the identification of, the most accurate schistosomiasis diagnostic tests. Furthermore, microscopy and haematuria dipsticks were indicated through these models as the most appropriate techniques for detection of <italic>S. haematobium</italic> infection.</p></div></front></TEI><pmc article-type="research-article" xml:lang="EN"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0370507</journal-id><journal-id journal-id-type="pubmed-jr-id">473</journal-id><journal-id journal-id-type="nlm-ta">Am J Trop Med Hyg</journal-id><journal-title>The American journal of tropical medicine and hygiene</journal-title><issn pub-type="ppub">0002-9637</issn><issn pub-type="epub">1476-1645</issn></journal-meta><article-meta><article-id pub-id-type="pmid">19270295</article-id><article-id pub-id-type="pmc">2726788</article-id><article-id pub-id-type="manuscript">NIHMS121799</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Sensitivities and specificities of diagnostic tests and infection prevalence of <italic>Schistosoma haematobium</italic> estimated from data on adults in villages northwest of Accra in Ghana</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Koukounari</surname><given-names>Artemis</given-names></name></contrib><contrib contrib-type="author"><name><surname>Webster</surname><given-names>Joanne P.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Donnelly</surname><given-names>Christl A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Bray</surname><given-names>Bethany C.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Naples</surname><given-names>Jean</given-names></name></contrib><contrib contrib-type="author"><name><surname>Bosompem</surname><given-names>Kwabena</given-names></name></contrib><contrib contrib-type="author"><name><surname>Shiff</surname><given-names>Clive</given-names></name></contrib><aff id="A1">Schistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, Norfolk Place, London, W2 1PG, United Kingdom; MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, Norfolk Place, London, W2 1PG, United Kingdom, The Methodology Center, The Pennsylvania State University, 204 E. Calder Way, Suite 400 State College, PA 16801; Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD 21205;Department of Parasitology, Noguchi Memorial Institute for Medical Research, Legon, Accra, Ghana</aff></contrib-group><author-notes><corresp id="cor1">Authors’ addresses: Artemis Koukounari, and Joanne P. Webster, Schistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, Imperial College Faculty of Medicine, St Mary's Campus, Norfolk Place, London, W2 1PG, Telephone: +44 (0)20 759 43820, Fax: +44 (0) 20 7262 8140, E-mails: <email>artemis.koukounari@imperial.ac.uk</email>, <email>joanne.webster@imperial.ac.uk</email>, Christl A. Donnelly, MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College Faculty of Medicine, St Mary's Campus, Norfolk Place, London, W2 1PG. E-mail: <email>c.donnelly@imperial.ac.uk</email>, Bethany C. Bray, The Methodology Center, The Pennsylvania State University, Office: 204 E. Calder Way, Suite 400, State College, PA 16801. E-mail: <email>bcbray@psu.edu</email>, Jean Naples, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD 21205, USA. E-mail: <email>jnaples@jhsph.edu</email>, Kwabena Bosompem, Department of Parasitology, Noguchi Memorial Institute for Medical Research, Legon, Accra, Ghana. E-mail: <email>kbosompem@noguchi.mimcom.net</email>, Clive Shiff, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD 21205, USA. E-mail: <email>cshiff@jhsph.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>20</day><month>6</month><year>2009</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2009</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>2</month><year>2010</year></pub-date><volume>80</volume><issue>3</issue><fpage>435</fpage><lpage>441</lpage><abstract><p id="P1">Substantial uncertainties surround the sensitivities and specificities of diagnostic techniques for urinary schistosomiasis. We used Latent Class (LC) modeling to address this problem. In this study 220 adults in three villages northwest of Accra in Ghana were examined using five <italic>Schistosoma haematobium</italic> diagnostic measures: microscopic examination of urine for detection of <italic>S. haematobium</italic> eggs, dipsticks for detection of haematuria, tests for circulating antigens, serological antibody tests and ultrasound scans of the urinary system. Testing of the LC model indicated non-invariance of the performance of the diagnostic tests across different age groups while measurement invariance held for males and females and for the three villages. We therefore recommend the use of LC models for comparison between, and the identification of, the most accurate schistosomiasis diagnostic tests. Furthermore, microscopy and haematuria dipsticks were indicated through these models as the most appropriate techniques for detection of <italic>S. haematobium</italic> infection.</p></abstract><contract-num rid="DA1">P50 DA010075-13</contract-num><contract-sponsor id="DA1">National Institute on Drug Abuse : NIDA</contract-sponsor></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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