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dc.contributor.author
Sookoian, Silvia Cristina

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Castaño, Gustavo Osvaldo

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Burgueño, Adriana Laura

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Fernández Gianotti, Tomás

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Rosselli, Maria Soledad

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Pirola, Carlos José

dc.date.available
2020-04-24T19:44:48Z
dc.date.issued
2009-05
dc.identifier.citation
Sookoian, Silvia Cristina; Castaño, Gustavo Osvaldo; Burgueño, Adriana Laura; Fernández Gianotti, Tomás; Rosselli, Maria Soledad; et al.; A diagnostic model to differentiate simple steatosis from nonalcoholic steatohepatitis based on the likelihood ratio form of Bayes theorem; Pergamon-Elsevier Science Ltd; Clinical Biochemistry; 42; 7-8; 5-2009; 624-629
dc.identifier.issn
0009-9120
dc.identifier.uri
http://hdl.handle.net/11336/103588
dc.description.abstract
Objective: To evaluate the performance of a diagnostic model based on a composite index using clinical and laboratory data, including cardiovascular biomarkers, to help practitioners to differentiate patients with simple steatosis from those with nonalcoholic steatohepatitis (NASH). Design and methods: 101 patients with biopsy proven features of nonalcoholic fatty liver disease were included. We investigated the usefulness of 9 biomarkers in predicting the histological disease severity, including routine biochemical tests, C-reactive protein, soluble intercellular adhesion molecule-1 (sICAM-1) and anthropometric evaluation. Receiver operating characteristic (ROC) curves and likelihood ratios (LRs) were used to evaluate the fit of each test. A composite index was calculated as the product of each individual test LR. Results: In a model patient who has all positive tests, the post-test probability for NASH would be 99.5%. Conclusion: The capacity of each individual biomarker to independently predict the disease outcome was lower than a composite index constructed after multiplying the LR for each individual test combined into a “multimarker” score.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DIAGNOSTIC MODEL
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FATTY LIVER
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NASH
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BIOMARKERS
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Gastroenterología y Hepatología

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Medicina Clínica

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CIENCIAS MÉDICAS Y DE LA SALUD

dc.title
A diagnostic model to differentiate simple steatosis from nonalcoholic steatohepatitis based on the likelihood ratio form of Bayes theorem
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-22T15:35:11Z
dc.journal.volume
42
dc.journal.number
7-8
dc.journal.pagination
624-629
dc.journal.pais
Estados Unidos

dc.description.fil
Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Gobierno de la Ciudad de Buenos Aires. Hospital "Dr. Abel Zubizarreta"; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
dc.description.fil
Fil: Castaño, Gustavo Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Gobierno de la Ciudad de Buenos Aires. Hospital "Dr. Abel Zubizarreta"; Argentina
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Fil: Burgueño, Adriana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
dc.description.fil
Fil: Fernández Gianotti, Tomás. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Rosselli, Maria Soledad. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Pirola, Carlos José. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Clinical Biochemistry

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.clinbiochem.2008.11.005
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0009912008005948
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