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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • View Item
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Examples of proper reporting for evaluation (Stage 2 validation) of diagnostic tests for diseases listed by the World Organisation for Animal Health [Ejemplos de comunicación adecuada de la evaluación (validación de fase 2) de pruebas de diagnóstico de enfermedades incluidas en la lista de la Organización Mundial de Sanidad Animal] [Exemples de notifications appropriées se rapportant aux études d’évaluation de tests diagnostiques (étape 2 de la validation) pour les maladies listées par l’Organisation mondiale de la santé animale]

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Author
Kostoulas P., Gardner I.A., Elschner M.C., Denwood M.J., Meletis E., Nielsen S.S.
Date
2021
Language
en
DOI
10.20506/rst.40.1.3225
Keyword
animal
animal disease
Bayes theorem
diagnostic test
global health
meta analysis
ruminant
veterinary medicine
Animal Diseases
Animals
Bayes Theorem
Diagnostic Tests, Routine
Global Health
Ruminants
World Organisation for Animal Health
Metadata display
Abstract
Reporting and design standards are key indicators of the quality of diagnostic accuracy (validation) studies but, with the exception of aquatic animal diseases and paratuberculosis in ruminants, there is limited guidance for designing these studies in animals. There is, therefore, a need for generic guidelines that are based on disease characteristics, such as mode of transmission, latent period and pathogenesis. Comprehensive, clear and transparent reporting of primary test accuracy studies for diseases listed by the World Organisation for Animal Health (OIE) has value for the end users of diagnostic tests and, ultimately, for decision-makers, who require systematic reviews and meta-analysis of multiple tests for specified diseases and testing purposes. The recent publication of reporting standards for Bayesian latent class models, to analyse test accuracy data from naturally occurring disease events, fills an important gap as these methods are being increasingly used for OIE-listed diseases. Adherence to design and reporting standards, as well as to guidelines, helps to ensure that research funding for test validation studies is used appropriately and that the strengths and limitations of single tests or test combinations are made clear to test users. The authors provide a review of key points that are often overlooked or misinterpreted in test validation studies, as well as two concrete examples of good practice for use as a reference point for future studies. © 2021 Office International des Epizootes. All rights reserved.
URI
http://hdl.handle.net/11615/75181
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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