Evidence map›Paper›PMID 34881823›Full record

ArticleThe Journal of small animal practice2022

Frequency and risk factors for naturally occurring Cushing's syndrome in dogs attending UK primary-care practices.

I Schofield, D C Brodbelt, S J M Niessen, D B Church, R F Geddes, D G O'Neill

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Article in The Journal of small animal practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

I SchofieldPathobiology and Population Sciences, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.ORCID https://orcid.org/0000-0003-3169-8723
D C BrodbeltPathobiology and Population Sciences, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.
S J M NiessenClinical Science and Services, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.
D B ChurchClinical Science and Services, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.
R F GeddesClinical Science and Services, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.ORCID https://orcid.org/0000-0001-9216-4886
D G O'NeillPathobiology and Population Sciences, The Royal Veterinary College, Hatfield, Herts AL9 7TA, UK.ORCID https://orcid.org/0000-0003-1115-2723

Funding

Dechra Veterinary Products
6 · The paper itself

Abstract

objectivesTo estimate the frequency and risk factors for Cushing's syndrome in dogs under UK primary veterinary care. MATERIALS AND

methodsDogs with Cushing's syndrome were identified by searching electronic patient records of primary-care veterinary practices. Pre-existing and incident cases of Cushing's syndrome during 2016 were included to estimate the 1-year period prevalence. Incident cases were used to estimate the annual incidence and to identify demographic risk factors for the diagnosis of Cushing's syndrome in dogs, through multivariable logistic regression.

resultsAnalysis included 970 pre-existing and 557 incident cases of Cushing's syndrome from a population of 905,544 dogs. The estimated 1-year period prevalence for Cushing's syndrome in dogs under veterinary care was 0.17% (95% confidence interval 0.16 to 0.18) and incidence was 0.06% (95% confidence interval 0.05 to 0.07). In multivariable logistic regression modelling, the Bichon frise (odds ratio=6.17, 95% confidence interval 4.22 to 9.00), Border terrier (5.40, 95% confidence interval 3.66 to 7.97) and Miniature schnauzer (3.05, 95% confidence interval 1.67 to 5.57) had the highest odds of Cushing's syndrome. The Golden retriever (0.24, 95% confidence interval 0.06 to 0.98) and Labrador retriever (0.30, 95% confidence interval 0.17 to 0.54) were the most protected breeds. Increasing age, bodyweight greater than the breed-sex mean and being insured also showed increased odds of Cushing's syndrome. CLINICAL SIGNIFICANCE: As Cushing's syndrome is predominately diagnosed and managed in primary-care practice, this study provides valuable new information of its epidemiology in this setting. Demographics reported are supportive of previous work and additional novel associations identified, such as the Border terrier, could enhance the index of suspicion for veterinarians.

Indexed as

Cushing SyndromeDog DiseasesAnimalsDogsPrevalenceRisk FactorsUnited Kingdom

Identifiers

PMID34881823
PMCPMC9299886

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.