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Bayesian clinical reasoning in the first opinion approach to a dog with suspected thoracolumbar pain
Author(s) -
Khan S.,
Freeman P.
Publication year - 2022
Publication title -
journal of small animal practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.7
H-Index - 67
eISSN - 1748-5827
pISSN - 0022-4510
DOI - 10.1111/jsap.13528
Subject(s) - medicine , modalities , bayesian probability , clinical practice , medical physics , intensive care medicine , physical therapy , artificial intelligence , social science , sociology , computer science
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.