Evidence map›Paper›PMID 31118035›Full record

ArticleBMC veterinary research2019

Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK.

Jennifer F Summers, Dan G O'Neill, David Church, Lisa Collins, David Sargan, David C Brodbelt

Abstract read
In one paragraph

Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–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

54 citing papers in PubMed.

  1. Article
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  11. Animals : an open access journal from MDPI · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Genomic characterization ofMicrobial genomics · 2025
    Article
  16. Article
  17. Canine genome-wide association study identifiesScience (New York, N.Y.) · 2025
    Article
  18. Review
  19. Article
  20. Article
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

6 authors.

Jennifer F SummersRoyal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK. jsummers@rvc.ac.uk.
Dan G O'NeillRoyal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK.
David ChurchRoyal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK.
Lisa CollinsFaculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK.
David SarganDepartment of Veterinary Medicine, University of Cambridge, Madingley Rd, Cambridge, CB3 0ES, UK.
David C BrodbeltRoyal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK.ORCID http://orcid.org/0000-0001-5628-4194

Funding

Dogs Trust 2013
6 · The paper itself

Abstract

backgroundEvidence-based comparison of the disorder-specific welfare burdens of major canine conditions could better inform targeting of stakeholder resources, to maximise improvement of health-related welfare in UK dogs. Population-level disease related welfare impact offers a quantitative, welfare-centred framework for objective disorder prioritisation, but practical applications have been limited to date due to sparse reliable evidence on disorder-specific prevalence, severity and duration across the canine disease spectrum. The VetCompass™ Programme collects de-identified electronic health record data from dogs attending primary-care clinics UK-wide, and is well placed to fill these information gaps.

resultsThe eight common, breed-related conditions assessed were anal sac disorder, conjunctivitis, dental disease, dermatitis, overweight/obese, lipoma, osteoarthritis and otitis externa. Annual period prevalence estimates (based on confirming 250 cases from total potential cases identified from denominator population of 455, 557 dogs) were highest for dental disorder (9.6%), overweight/obese (5.7%) and anal sac disorder (4.5%). Dental disorder (76% of study year), osteoarthritis (82%), and overweight/obese (70%) had highest annual duration scores. Osteoarthritis (scoring 13/21), otitis externa (11/21) and dermatitis demonstrated (10/21) highest overall severity scores. Dental disorder (2.47/3.00 summative score), osteoarthritis (2.24/3.00) and overweight/obese (1.67/3.00) had highest VetCompass Welfare Impact scores overall. DISCUSSION: Of the eight common, breed-related disorders assessed, dental disorder, osteoarthritis and overweight/obese demonstrated particular welfare impact, based on combinations of high prevalence, duration and severity. Future work could extend this methodology to cover a wider range of disorders.

conclusionsDental disorders, osteoarthritis and overweight/obese have emerged as priority areas for health-related welfare improvement in the UK dog population. This study demonstrated applicability of a standardised methodology to assess the relative health-related welfare impact across a range of canine disorders using VetCompass clinical data.

Indexed as

Electronic Health RecordsAnimalsAnimal WelfareDog DiseasesDogsPrimary Health CareUnited KingdomBreed-relatedCanineDurationEHR, EPREvidence-basedPrevalencePrioritisationSeverityVetCompassWelfare

Identifiers

PMID31118035
PMCPMC6532203

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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.