Clinical reasoning in canine spinal disease: what combination of clinical information is useful?

Cardy, T J A; De Decker, S; Kenny, P J; Volk, H A

Abstract

Spinal disease in dogs is commonly encountered in veterinary practice. Numerous diseases may cause similar clinical signs and presenting histories. The study objective was to use statistical models to identify combinations of discrete parameters from the patient signalment, history and neurological examination that could suggest the most likely diagnoses with statistical significance. A retrospective study of 500 dogs referred to the Queen Mother Hospital for Animals before June 2012 for the investigation of spinal disease was performed. Details regarding signalment, history, physical and neurological examinations, neuroanatomical localisation and imaging data were obtained. Univariate analyses of variables (breed, age, weight, onset, deterioration, pain, asymmetry, neuroanatomical localisation) were performed, and variables were retained in a multivariate logistic regression model if P

Citation

Cardy, T. J. A., De Decker, S., Kenny, P. J., & Volk, H. A. (2015). Clinical reasoning in canine spinal disease: what combination of clinical information is useful?. Veterinary Record, 177(7), https://doi.org/10.1136/vr.102988

• Journal Article Type: Article
• Acceptance Date: Jun 29, 2015
• Publication Date: Aug 1, 2015
• Deposit Date: Aug 12, 2015
• Publicly Available Date: Nov 21, 2020
• Journal: VETERINARY RECORD
• Print ISSN: 0042-4900
• Publisher: BMJ Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 177
• Issue: 7
• DOI: https://doi.org/10.1136/vr.102988
• Public URL: https://rvc-repository.worktribe.com/output/1400000