Bayesian clinical reasoning in the first opinion approach to a dog with suspected thoracolumbar pain.
Publication Date
2022-12Journal Title
J Small Anim Pract
ISSN
0022-4510
Publisher
Wiley
Language
en
Type
Article
This Version
AO
VoR
Metadata
Show full item recordCitation
Khan, S., & Freeman, P. (2022). Bayesian clinical reasoning in the first opinion approach to a dog with suspected thoracolumbar pain.. J Small Anim Pract https://doi.org/10.1111/jsap.13528
Abstract
Whilst multi-planar imaging has allowed advances in diagnosis and treatment of canine spinal cord disorders, it is sometimes inaccessible to pet owners leading to a reliance on imaging modalities and ancillary tests that are more readily available. For this reason, this essay considers how Bayesian clinical reasoning may aid in deciding which tests, if any, are most useful for the diagnosis of spinal disease in clinical practice and choosing reasonable empiric therapies.
Keywords
Dogs, Animals, Dog Diseases, Bayes Theorem, Spinal Cord Diseases, Clinical Reasoning, Pain
Identifiers
jsap13528
External DOI: https://doi.org/10.1111/jsap.13528
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338518
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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