Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models)

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Inclusion criteria</td><td class="align_center">Exclusion criteria</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Articles written in English or Spanish</td><td class="align_center">Other languages</td></tr><tr><td class="align_left">At least one diagnostic test for detection of tuberculosis infection (caused by a member of the <i>Mycobacterium tuberculosis</i> complex) is evaluated</td><td class="align_center">Considered tests aimed at the detection of infection due to nontuberculous (myco) bacteria</td></tr><tr><td class="align_left">Diagnostic tests are applied in either domestic or wild terrestrial animals</td><td class="align_center">Test carried out in humans</td></tr><tr><td class="align_left">The study includes the use of at least one BLCM for evaluation of diagnostic performance</td><td class="align_center">No BLCMs were used in the study</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Inclusion and exclusion criteria.</div>

Transboundary and Emerging Diseases

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Table 1

Table 1: Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models) 