The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Diagnostic accuracy of clinical illness for bovine respiratory disease (BRD) diagnosis in beef cattle placed in feedlots: A systematic literature review and hierarchical Bayesian latent-class meta-analysis
Abstract
Diagnosis of bovine respiratory disease (BRD) in beef cattle placed in feedlots is typically based on clinical illness (CI) detected by pen-checkers. Unfortunately, the accuracy of this diagnostic approach (namely, sensitivity [Se] and specificity [Sp]) remains poorly understood, in part due to the absence of a reference test for ante-mortem diagnosis of BRD. Our objective was to pool available estimates of CI's diagnostic accuracy for BRD diagnosis in feedlot beef cattle while adjusting for the inaccuracy in the reference test. The presence of lung lesions (LU) at slaughter was used as the reference test. A systematic review of the literature was conducted to identify research articles comparing CI detected by pen-checkers during the feeding period to LU at slaughter. A hierarchical Bayesian latent-class meta-analysis was used to model test accuracy. This approach accounted for imperfections of both tests as well as the within and between study variability in the accuracy of CI. Furthermore, it also predicted the Se CI and Sp CI for future studies. Conditional independence between CI and LU was assumed, as these two tests are not based on similar biological principles. Seven studies were included in the meta-analysis. Estimated pooled Se CI and Sp CI were 0.27 (95% Bayesian credible interval: 0.12-0.65) and 0.92 (0.72-0.98), respectively, whereas estimated pooled Se LU and Sp LU were 0.91 (0.82-0.99) and 0.67 (0.64-0.79). Predicted Se CI and Sp CI for future studies were 0.2…
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“Studies reviewing these methods have reported inconsistent findings [60].”
From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [60]
In the citing paper
“For diagnosing calf respiratory infections, clinical assessments often follow a sequential protocol (Depression, Appetite, Respiration, Temperature, or DART), or they may be conducted in a less structured manner [12,60,65,66].”
From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [60]
In the citing paper
“These clinical manifestations can last up to five days [60], and depending on the type of pathogen, the onset of signs of infection may take up to nine days.”
From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [60]
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Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed
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Analysing and Presenting Results
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Timsit, E., Hallewell, J., Booker, C. W., Tison, N., Amat, S., & Alexander, T. W. (2017) · Veterinary Microbiology · doi:10.1016/j.vetmic.2017.07.013 · Cited by 157
Self-citationScoping Reviews, Systematic Reviews, and Meta-Analysis: Applications in Veterinary Medicine
Sargeant, J. M., & O'Connor, A. M. C. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.00011 · Cited by 177
Cooke, R. F., Daigle, C. L., Moriel, P., Smith, S. B., Tedeschi, L. O., & Vendramini, J. M. B. (2020) · Journal of Animal Science · doi:10.1093/jas/skaa014 · Cited by 159
Antimicrobial Stewardship in Veterinary Medicine
Lloyd, D. H., & Page, S. W. (2018) · Microbiology Spectrum · doi:10.1128/microbiolspec.arba-0023-2017 · Cited by 122
Bovine Respiratory Disease Diagnosis
Buczinski, S., & Pardon, B. (2020) · Veterinary Clinics of North America: Food Animal Practice · doi:10.1016/j.cvfa.2020.03.004 · Cited by 89
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Metadata
- Authors
- Timsit, E., Dendukuri, N., Schiller, I., & Buczinski, S.
- Affiliations
- University of Calgary (CA)
- McGill University Health Centre (CA)
- Université de Montréal (CA)
- Corresponding author
- Buczinski, S.
- Venue
- Preventive Veterinary Medicine
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 135
- Pages
- 67-73
- ISSN
- 0167-5877 (ISSN-L)
- OpenAlex
- W2552609869
- Cited by
- 112
- References
- 38
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 11 · 2023: 11 · 2022: 15 · 2021: 17 · 2020: 16 · 2019: 4 · 2018: 10 · 2017: 5
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Preventive Veterinary Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Microbiology › Microbial infections and disease research
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal health and immunology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Disease Management and Epidemiology
- Keywords
- bovine respiratory disease, beef cattle, feedlot, diagnostic accuracy, sensitivity and specificity, lung lesions, antemortem diagnosis
- MeSH terms
- Animals, Animal Husbandry, Bayes Theorem, Cattle, Diagnostic Techniques, Respiratory System, Female, Male, Models, Theoretical, Sensitivity and Specificity, Bovine Respiratory Disease Complex
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