Evidence map›Paper›PMID 42135864›Full record

ArticleCompanion animal health and genetics2025

Lessons from changing soft tissue surgical referral trends for cats and dogs in a UK veterinary university teaching hospital between 2008 and 2018.

Alex James Currie, Dan Gerard O'Neill, Daniel Brockman

Abstract read
In one paragraph

Article in Companion animal health and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alex James CurrieDepartment of Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom. acurrie4@rvc.ac.uk.
Dan Gerard O'NeillPathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom.
Daniel BrockmanDepartment of Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA comparative review of the annual numbers and types of referral soft tissue surgical procedures performed in UK cats and dogs for two years, a decade apart: 2008 and 2018.

methodsHealthcare administration data at a single large referral centre in the UK were reviewed for all soft tissue surgical procedures in each study year.

resultsThere were 659 soft tissue surgeries across all cats and dogs in 2008, compared with 1001 in 2018. Among dogs, French Bulldog was the breed with the greatest change between the study years (2008: n = 4; 2018: n = 83, 2075% increase), rising to become the most common breed presenting for soft tissue surgery in 2018. In dogs, the greatest change in frequency of surgical procedure performed was brachycephalic obstructive airway surgery (2008: n = 16; 2018: n = 131, 818.8% increase). Among cats, Ragdoll was the breed with the greatest change between study years (2008: n = 1; 2018: n = 8, 800% increase). In cats, the greatest change in surgical procedure performed was subcutaneous ureteral bypass (2008: n = 0; 2018: n = 27).

conclusionsThe numbers, types and relevant breeds for surgical procedures performed at this single referral centre have changed considerably over this 10-year period, with much of this change linked to human preferences for extreme conformations in dogs. Considered alongside current patient presenting age and wider available population data, the current healthcare administration data may support veterinary organisations and practices with a better evidence base to better meet future patient needs.

Identifiers

PMID42135864
PMCPMC12621385

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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.