Evidence map›Paper›PMID 33593363›Full record

ArticleBMC veterinary research2021

Prevalence of commonly diagnosed disorders in UK dogs under primary veterinary care: results and applications.

Dan G O'Neill, Hannah James, Dave C Brodbelt, David B Church, Camilla Pegram

Abstract read
In one paragraph

Article in BMC veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A new highly digestible prescription diet containingFrontiers in veterinary science · 2025
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38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

5 authors.

Dan G O'NeillPathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, AL9 7TA, Hatfield, Herts, UK. doneill@rvc.ac.uk.
Hannah JamesThe Kennel Club, Clarges Street, W1J 8AB, Mayfair, UK.
Dave C BrodbeltPathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, AL9 7TA, Hatfield, Herts, UK.
David B ChurchClinical Sciences and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, AL9 7TA, Hatfield, Herts, UK.
Camilla PegramPathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, AL9 7TA, Hatfield, Herts, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough dogs are a commonly owned companion animal in the UK, the species experiences many health problems that are predictable from demographic information. This study aimed to use anonymised veterinary clinical data from the VetCompass™ Programme to report the frequency of common disorders of dogs under primary veterinary care in the UK during 2016 and to explore effects associated with age, sex and neuter status.

resultsFrom an available population of 905,543 dogs under veterinary care at 886 veterinary clinics during 2016, the current study included a random sample of 22,333 (2.47 %) dogs from 784 clinics. Prevalence for each disorder was calculated at the most refined level of diagnostic certainty (precise-level precision) and after grouping to a more general level of diagnostic precision (grouped-level precision). The most prevalent precise-level precision disorders recorded were periodontal disease (prevalence 12.52 %, 95 % CI: 12.09-12.97), otitis externa (7.30 %, 95 % CI: 6.97-7.65) and obesity (7.07 %, 95 % CI: 6.74-7.42). The most prevalent grouped-level disorders were dental disorder (14.10 %, 95 % CI: 13.64-14.56), skin disorder (12.58 %, 95 % CI: 12.15-13.02) and enteropathy (10.43 %, 95 % CI: 10.04-10.84). Associations were identified for many common disorders with age, sex and neuter.

conclusionsThe overall findings can assist veterinarians and owners to prioritise preventive care and to understand demographic risk factors in order to facilitate earlier diagnosis of common disorders in dogs. The information on associations with age, sex and neuter status provides additional contextual background to the complexity of disorder occurrence and supports targeted health controls for demographic subsets of dogs.

Indexed as

Age FactorsAnimalsCastrationDog DiseasesDogsFemaleHospitals, AnimalMalePrevalenceSex FactorsUnited KingdomBreedDogElectronic patient recordEpidemiologyEPRPedigreePrimary‐carePurebredVetCompassVeterinary

Identifiers

PMID33593363
PMCPMC7888168

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LicenceCC BY
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Registered trials

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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.