Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Health and Agricultural Sciences
  3. School of Veterinary Medicine
  4. Veterinary Medicine Research Collection
  5. Meta-analyses of the sensitivity and specificity of ante-mortem and post-mortem diagnostic tests for bovine tuberculosis in the UK and Ireland
 
  • Details
Options

Meta-analyses of the sensitivity and specificity of ante-mortem and post-mortem diagnostic tests for bovine tuberculosis in the UK and Ireland

File(s)
FileDescriptionSizeFormat
Download Prev Vet Med 2018 Nunez-Garcia.pdf2.37 MB
Author(s)
Nuñez-Garcia, Javier 
Downs, Sara H. 
Parry, Jessica E. 
More, Simon John 
et al. 
Uri
http://hdl.handle.net/10197/10095
Date Issued
01 May 2018
Date Available
24T07:03:49Z April 2019
Abstract
Bovine Tuberculosis (bTB) in cattle is a global health problem and eradication of the disease requires accurate estimates of diagnostic test performance to optimize their efficiency. The objective of this study was, through statistical meta-analyses, to obtain estimates of sensitivity (Se) and specificity (Sp), for 14 different ante-mortem and post-mortem diagnostic tests for bTB in cattle. Using data from a systematic review of the scientific literature (published 1934–2009) diagnostic Se and Sp were estimated using Bayesian logistic regression models adjusting for confounding factors. Random effect terms were used to account for unexplained heterogeneity. Parameters in the models were implemented using Markov Chain Monte Carlo (MCMC), and posterior distributions for the diagnostic parameters with adjustment for covariates (confounding factors) were obtained using the inverse logit function. Estimates for Se and/or Sp of the tuberculin skin tests and the IFN-γ blood test were compared with estimates published 2010–2015. Median Se for the single intradermal comparative cervical tuberculin skin (SICCT) test (standard interpretation) was 0.50 and Bayesian credible intervals (CrI) were wide (95% CrI 0.26, 0.78). Median Sp for the SICCT test was 1.00 (95% CrI 0.99, 1.00). Estimates for the IFN-γ blood test Bovine Purified Protein Derivative (PPD)-Avian PPD and Early Secreted Antigen target 6 and Culture Filtrate Protein 10 (ESAT-6/CFP10) ESAT6/CFP10 were 0.67 (95% CrI 0.49, 0.82) and 0.78 (95% CrI 0.60, 0.90) respectively for Se, and 0.98 (95% CrI 0.96, 0.99) and 0.99 (95% CrI 0.99, 1.00) for Sp. The study provides an overview of the accuracy of a range of contemporary diagnostic tests for bTB in cattle. Better understanding of diagnostic test performance is essential for the design of effective control strategies and their evaluation.
Other Sponsorship
UK Department for Environment, Food and Rural Affairs (Defra)
Type of Material
Journal Article
Publisher
Elsevier
Journal
Preventive Veterinary Medicine
Volume
153
Start Page
94
End Page
107
Copyright (Published Version)
2017 Crown Copyright
Keywords
  • Bovine tuberculosis

  • Diagnostic tests

  • Meta-analysis

  • Performance

  • Sensitivity

  • Specificity

DOI
10.1016/j.prevetmed.2017.02.017
Language
English
Status of Item
Peer reviewed
ISSN
0167-5877
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Veterinary Medicine Research Collection
Scopus© citations
85
Acquisition Date
Mar 30, 2023
View Details
Views
845
Acquisition Date
Mar 31, 2023
View Details
Downloads
420
Last Week
1
Last Month
17
Acquisition Date
Mar 31, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement