Literature DB >> 30621898

Design, statistical analysis and reporting standards for test accuracy studies for infectious diseases in animals: Progress, challenges and recommendations.

Ian A Gardner1, Axel Colling2, Matthias Greiner3.   

Abstract

The quality of diagnostic accuracy studies (DAS) for infectious diseases of animals has improved over the last 20 years because of international educational efforts, use of design and reporting standards to guide researchers and test developers, and acceptance of the use of latent class models to account for imperfect reference tests. In this review, we focus on measurement of diagnostic sensitivity and specificity as a measure of clinical validity, describe the leadership role of the World Organisation of Animal Health (OIE) in setting standards for test validation in the context of fitness-for-purpose, and describe how design and reporting quality have facilitated the increased use of systematic reviews and meta-analysis of DAS. Ongoing challenges for design, conduct, analysis and reporting of DAS are identified; and we make recommendations for improvements in these areas for OIE-listed and non-listed infectious diseases.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analysis; Animal disease; Design; Quality standards; Reporting; Sensitivity; Specificity; Test accuracy

Mesh:

Year:  2018        PMID: 30621898     DOI: 10.1016/j.prevetmed.2018.10.023

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

1.  Evaluation of the comparative accuracy of the complement fixation test, Western blot and five enzyme-linked immunosorbent assays for serodiagnosis of glanders.

Authors:  Mandy Carolina Elschner; Karine Laroucau; Harisankar Singha; Bhupendra Nath Tripathi; Muhammad Saqib; Ian Gardner; Sheetal Saini; Subodh Kumar; Hosny El-Adawy; Falk Melzer; Iahtasham Khan; Praveen Malik; Carola Sauter-Louis; Heinrich Neubauer
Journal:  PLoS One       Date:  2019-04-05       Impact factor: 3.240

2.  An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus - evaluating six conditionally dependent tests.

Authors:  Clara Schoneberg; Jens Böttcher; Britta Janowetz; Anja Rostalski; Lothar Kreienbrock; Amely Campe
Journal:  PLoS One       Date:  2022-01-25       Impact factor: 3.240

Review 3.  Validation of laboratory tests for infectious diseases in wild mammals: review and recommendations.

Authors:  Beibei Jia; Axel Colling; David E Stallknecht; David Blehert; John Bingham; Beate Crossley; Debbie Eagles; Ian A Gardner
Journal:  J Vet Diagn Invest       Date:  2020-05-29       Impact factor: 1.279

  3 in total

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