Evidence map›Paper›PMID 28693574›Full record

ArticleBMC veterinary research2017

Demographics of dogs, cats, and rabbits attending veterinary practices in Great Britain as recorded in their electronic health records.

Fernando Sánchez-Vizcaíno, Peter-John M Noble, Phil H Jones, Tarek Menacere, Iain Buchan, Suzanna Reynolds, Susan Dawson, Rosalind M Gaskell, Sally Everitt, Alan D Radford

Abstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

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

  1. Pooled it
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  9. What Are the Most Prevalent Welfare Issues for Pet Small Mammals?Animals : an open access journal from MDPI · 2025
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7 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

10 authors.

Fernando Sánchez-VizcaínoInstitute of Infection and Global Health, University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK. fsvb@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-1655-8290
Peter-John M NobleInstitute of Veterinary Science, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Phil H JonesInstitute of Infection and Global Health, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Tarek MenacereInstitute of Infection and Global Health, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Iain BuchanHealth e-Research Centre (Farr@HeRC), Farr Institute, University of Manchester, Vaughan House, Portsmouth St, Manchester, M13 9GB, UK.
Suzanna ReynoldsInstitute of Infection and Global Health, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Susan DawsonInstitute of Veterinary Science, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Rosalind M GaskellInstitute of Veterinary Science, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Sally EverittBritish Small Animal Veterinary Association, Waterwells Business Park, Woodrow House, 1 Telford Way, Quedgeley, Gloucestershire, GL2 2AB, UK.
Alan D RadfordInstitute of Infection and Global Health, Leahurst Campus, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/N019547/1Medical Research Council MC_PC_13042
6 · The paper itself

Abstract

backgroundUnderstanding the distribution and determinants of disease in animal populations must be underpinned by knowledge of animal demographics. For companion animals, these data have been difficult to collect because of the distributed nature of the companion animal veterinary industry. Here we describe key demographic features of a large veterinary-visiting pet population in Great Britain as recorded in electronic health records, and explore the association between a range of animal's characteristics and socioeconomic factors.

resultsElectronic health records were captured by the Small Animal Veterinary Surveillance Network (SAVSNET), from 143 practices (329 sites) in Great Britain. Mixed logistic regression models were used to assess the association between socioeconomic factors and species and breed ownership, and preventative health care interventions. Dogs made up 64.8% of the veterinary-visiting population, with cats, rabbits and other species making up 30.3, 2.0 and 1.6% respectively. Compared to cats, dogs and rabbits were more likely to be purebred and younger. Neutering was more common in cats (77.0%) compared to dogs (57.1%) and rabbits (45.8%). The insurance and microchipping relative frequency was highest in dogs (27.9 and 53.1%, respectively). Dogs in the veterinary-visiting population belonging to owners living in least-deprived areas of Great Britain were more likely to be purebred, neutered, insured and microchipped. The same association was found for cats in England and for certain parameters in Wales and Scotland.

conclusionsThe differences we observed within these populations are likely to impact on the clinical diseases observed within individual veterinary practices that care for them. Based on this descriptive study, there is an indication that the population structures of companion animals co-vary with human and environmental factors such as the predicted socioeconomic level linked to the owner's address. This 'co-demographic' information suggests that further studies of the relationship between human demographics and pet ownership are warranted.

Indexed as

CatsDogsPetsRabbitsAge FactorsAnimalsDemographyElectronic Health RecordsFemaleHumansInsuranceLogistic ModelsMaleOwnershipSocioeconomic FactorsSterilization, ReproductiveCompanion animalsDemographicsElectronic health recordsSAVSNETSocioeconomic factors

Identifiers

PMID28693574
PMCPMC5504643

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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.