Hostname: page-component-f554764f5-nwwvg Total loading time: 0 Render date: 2025-04-13T09:20:29.249Z Has data issue: false hasContentIssue false
  • English
  • Français

Accuracy of paratuberculosis diagnostic tests in small ruminants: protocol for a systematic review and meta-analysis

Published online by Cambridge University Press:  19 November 2019

S. Buczinski Open the ORCID record for S. Buczinski [Opens in a new window] ,
J. Arsenault ,
P. Kostoulas ,
F. Corbière ,
G. Fecteau  and
N. Dendukuri
S. Buczinski*
Affiliation:
Faculté de médecine vétérinaire, Université de Montréal, QuébecCanada
J. Arsenault
Affiliation:
Faculté de médecine vétérinaire, Université de Montréal, QuébecCanada
P. Kostoulas
Affiliation:
Faculty of Veterinary Medicine, University of Thessaly, Volos, Greece
F. Corbière
Affiliation:
UMR INRA ENVT 1225 IHAP, Ecole Nationale Vétérinaire de Toulouse, Toulouse, France
G. Fecteau
Affiliation:
Faculté de médecine vétérinaire, Université de Montréal, QuébecCanada
N. Dendukuri
Affiliation:
Department of Medicine, McGill University, Technology Assessment Unit, McGill University Health Centre, Montréal, Québec, Canada
*
Author for correspondence: S. Buczinski, Faculté de médecine vétérinaire, Université de Montréal, QuébecCanada. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Paratuberculosis is a worldwide infectious disease caused by Mycobacterium avium ssp. paratuberculosis (MAP). Various ruminant species can be affected by the disease, and the diagnosis of the disease is challenging in the absence of a gold standard test. The aim of this systematic review protocol is to determine the accuracy of the direct and indirect diagnostic tests for MAP infection with a special focus on sheep and goats.

Type
Systematic Review
Information
Animal Health Research Reviews , Volume 20 , Issue 1 , June 2019 , pp. 98 - 102
Copyright
Copyright © Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Bauman, CA, Jones-Bitton, A, Jansen, J, Kelton, D and Menzies, P (2016 a) Evaluation of fecal culture and fecal RT-PCR to detect Mycobacterium avium ssp. paratuberculosis fecal shedding in dairy goats and dairy sheep using latent class Bayesian modeling. BMC Veterinary Research 12, 212.CrossRefGoogle ScholarPubMed
Bauman, CA, Jones-Bitton, A, Menzies, P, Toft, N, Jansen, J and Kelton, D (2016 b) Prevalence of paratuberculosis in the dairy goat and dairy sheep industries in Ontario, Canada. Canadian Veterinary Journal 57, 169–175.Google ScholarPubMed
Branscum, AJ, Gardner, IA and Johnson, WO (2005) Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. Preventive Veterinary Medicine 68, 145–163.CrossRefGoogle ScholarPubMed
Buczinski, S, Gicquel, E, Fecteau, G, Takwoingi, Y, Chigerwe, M and Vandeweerd, JM (2018) Systematic review and meta-analysis of diagnostic accuracy of serum refractometry and brix refractometry for the diagnosis of inadequate transfer of passive immunity in calves. Journal of Veterinary Internal Medicine 32, 474–483.CrossRefGoogle Scholar
de Silva, K, Plain, K, Purdie, A, Begg, D and Whittington, R (2018) Defining resilience to mycobacterial disease: characteristics of survivors of ovine paratuberculosis. Veterinary Immunology and Immunopathology 195, 56–64.CrossRefGoogle ScholarPubMed
Fawzy, A, Zschöck, M, Ewers, C and Eisenberg, T (2018) Genotyping methods and molecular epidemiology of Mycobacterium avium subsp. paratuberculosis (MAP). International Journal of Veterinary Science and Medicine 6, 258–264.CrossRefGoogle Scholar
Gardner, IA, Stryhn, H, Lind, P and Collins, MT (2000) Conditional dependence between tests affects the diagnosis and surveillance of animal diseases. Preventive Veterinary Medicine 45, 107–122.CrossRefGoogle ScholarPubMed
Gilardoni, LR, Paolicchi, FA and Mundo, SL (2012) Bovine paratuberculosis: a review of the advantages and disadvantages of different diagnostic tests. Revista Argentina Microbiologica 44, 201–215.Google ScholarPubMed
Kostoulas, P, Leontides, L, Enoe, C, Billinis, C, Florou, M and Sofia, M (2006) Bayesian estimation of sensitivity and specificity of serum ELISA and faecal culture for diagnosis of paratuberculosis in Greek dairy sheep and goats. Preventive Veterinary Medicine 76, 56–73.CrossRefGoogle ScholarPubMed
Leeflang, MM, Rutjes, AW, Reitsma, JB, Hooft, L and Bossuyt, PM (2013) Variation of a test's sensitivity and specificity with disease prevalence. Canadian Medical Association Journal 185, E537–E544.CrossRefGoogle ScholarPubMed
Liapi, M, Leontides, L, Kostoulas, P, Botsaris, G, Iacovou, Y, Rees, C, Georgiou, K, Smith, G and Naseby, D (2011) Bayesian estimation of the true prevalence of Mycobacterium avium subsp. paratuberculosis infection in Cypriot dairy sheep and goat flocks. Small Ruminant Research 95, 174–178.CrossRefGoogle Scholar
Marquetoux, N, Mitchell, R, Ridler, A, Heuer, C and Wilson, P (2018) A synthesis of the patho-physiology of Mycobacterium avium subspecies paratuberculosis infection in sheep to inform mathematical modelling of ovine paratuberculosis. Veterinary Research 49, 27.CrossRefGoogle ScholarPubMed
Menten, J and Lesaffre, E (2015) A general framework for comparative Bayesian meta-analysis of diagnostic studies. BMC Medical Research Methodology 15, 70.CrossRefGoogle ScholarPubMed
Rangel, SJ, Pare, J, Dore, E, Arango, JC, Cote, G, Buczinski, S, Labrecque, O, Fairbrother, JH, Roy, JP, Wellemans, V and Fecteau, G (2015) A systematic review of risk factors associated with the introduction of Mycobacterium avium spp. paratuberculosis (MAP) into dairy herds. Canadian Veterinary Journal 56, 169–177.Google ScholarPubMed
Relevo, R (2012) Effective search strategies for systematic reviews of medical tests. In Chang, SM, Matchar, DB, Smetana, GW and Umscheid, CA (eds), Methods Guide for Medical Test Reviews. Rockville, MD, pp. 28–32.Google ScholarPubMed
Rutjes, AW, Reitsma, JB, Vandenbroucke, JP, Glas, AS and Bossuyt, PM (2005) Case-control and two-gate designs in diagnostic accuracy studies. Clinical Chemistry 51, 1335–1341.CrossRefGoogle ScholarPubMed
Rutjes, AW, Reitsma, JB, Coomarasamy, A, Khan, KS and Bossuyt, PM (2007) Evaluation of diagnostic tests when there is no gold standard. A review of methods. Health Technology Assessment (Winchester, England) 11, iii, ix–51.Google Scholar
Saccareau, M, Sallé, G, Robert-Granié, C, Duchemin, T, Jacquiet, P, Blanchard, A, Cabaret, J and Moreno, CR (2017) Meta-analysis of the parasitic phase traits of Haemonchus contortus infection in sheep. Parasites & Vectors 10, 201.CrossRefGoogle Scholar
Schiller, I and Dendukuri, N (2015) HSROC: an R package for Bayesian meta-analysis of diagnostic test accuracy.Google Scholar
Whiting, P and Davenport, C (2018) Understanding test accuracy research: a test consequence graphic. Diagnostic and Prognostic Research 2, 2.CrossRefGoogle ScholarPubMed
Whittington, R and Sergeant, E (2001) Progress towards understanding the spread, detection and control of Mycobacterium avium subsp para-tuberculosis in animal populations. Australian Veterinary Journal 79, 267–278.CrossRefGoogle Scholar
Windsor, PA (2015) Paratuberculosis in sheep and goats. Veterinary Microbiology 181, 161–169.CrossRefGoogle ScholarPubMed
Supplementary material: File

Buczinski et al. supplementary material

Buczinski et al. supplementary material

Download Buczinski et al. supplementary material(File)
File 18.5 KB