Lavinia Economu
Incidence and risk factors for feline lymphoma in UK primary-care practice
Economu, Lavinia
Authors
Abstract
Objectives: The study aimed to estimate the incidence and prevalence of feline lymphoma in cats attending primary-care practices across the UK and to identify patient-based and environmental (radon and pesticide exposure) risk factors.
Materials and methods: Case records from the VetCompassTM programme from primary-care veterinary practices in the UK were searched for a diagnosis of lymphoma in cats in 2016. Cases were required to have had an external laboratory confirmed diagnosis based on cytology and/or histopathology. A nested case-control study design was used to identify risk factors for lymphoma using multivariable logistic regression.
Results: From a cohort of 562,446 cats under veterinary care at VetCompass participating practices in 2016, a total of 271 lymphoma cases were identified (prevalence: 48/100,000, 95% CI 44- 56/100,000; incidence 32/100,000, 95% CI 26- 35/100,000). There was 180 incident lymphoma cases and 803 controls, all aged 2 years and older. Male (OR 1.7, 95% CI 1.2-2.4, P=0.004), insured (OR 3.6, 95% CI 2.3-5.6, P=
Citation
Economu, L. (in press). Incidence and risk factors for feline lymphoma in UK primary-care practice. Journal of Small Animal Practice, https://doi.org/10.1111/jsap.13266
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 28, 2020 |
Online Publication Date | Dec 15, 2020 |
Deposit Date | Oct 30, 2020 |
Publicly Available Date | Dec 21, 2020 |
Journal | Journal of Small Animal Practice |
Print ISSN | 0022-4510 |
Electronic ISSN | 1748-5827 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1111/jsap.13266 |
Public URL | https://rvc-repository.worktribe.com/output/1374981 |
Files
vor
(586 Kb)
PDF
Downloadable Citations
About RVC Repository
Administrator e-mail: publicationsrepos@rvc.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search