Evidence map›Paper›PMID 42711433›Full record

ArticleScientific reports2026

Epidemiological analysis of brain tumours in dogs in Australia between 1994 and 2024.

Haileyesus Dejene, Kalana Manika Hennedige, José Luis Granados-Soler, Rachel Allavena, Joerg Henning

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Haileyesus DejeneSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia. h.legese@uq.edu.au.ORCID 0000-0002-2196-9334
Kalana Manika HennedigeSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia.
José Luis Granados-SolerSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia.
Rachel AllavenaSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia.
Joerg HenningSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain tumours are a relatively rare but a clinically important cause of neurological diseases in dogs. This study aimed to estimate the incidence of canine brain tumours in Australia, assess spatio-temporal patterns, explore tumour type-dog breed relationships, evaluate post-diagnosis survival for selected brain tumours, and identify animal-level risk factors. A retrospective cross-sectional analysis was conducted using clinical records from 1994 to 2024 from veterinary clinics participating in the VetCompass Australia (VCA) registry. Records were retrieved using targeted keyword search terms, further processed using an AI-assisted extraction tool, and manually reviewed for accuracy. Of 926 identified cases, 109 (11.8%) were primary tumours, 33 (3.6%) secondary tumours, and 784 (84.7%) were classified as unconfirmed brain tumours. The overall incidence rate was 8.7 (95% CI: 8.2-9.3) cases per 100,000 dog-years at risk. Spatial analysis revealed geographic differences in the incidence rates of primary and secondary brain tumours across Australia, with the highest incidence observed in New South Wales (2.3 cases per 100,000 dog-years). A statistically significant spatial clusters of combined primary and secondary brain tumour cases (RR = 5.8, p = 0.001) was identified in New South Wales. Temporal trend analysis showed a steady increase in the incidence from 2008 to 2015, reaching 3.9 cases per 100,000 dog-years at risk. A hierarchical cluster analysis suggested a grouping of glioma and lymphosarcoma cases with breeds such as French bulldogs and boerboels overrepresented. The median survival time of dogs following diagnosis differed significantly between tumour types (log-rank test, p ≤ 0.001); it was 6.0 and 0.2 months for astrocytoma and glioma, respectively. Advancing age was strongly associated with brain tumour incidence (p ≤ 0.001), and utility breeds had a higher incidence rate than crossbreed dogs (IRR = 3.9; 95% CI: 2.3-6.6, p ≤ 0.001). This study provides the first nationwide description of canine brain tumour incidence, spatio-temporal patterns, risk factors, and survival outcomes in Australia. Future research using VCA data should focus on the development of prognostic models to the improve the understanding of canine brain tumour epidemiology in Australia.

Indexed as

Brain NeoplasmsDog DiseasesAnimalsAustraliaCross-Sectional StudiesDogsFemaleIncidenceMaleRetrospective StudiesRisk FactorsAustraliaBrain tumoursIncidence rateSpatio-temporal analysisVetCompass Australia

Identifiers

PMID42711433
PMCPMC13554163

What Socratic holds

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Registered trials

None linked

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 Socratic graph.