Evidence map›Paper›PMID 42188950›Full record

ArticleVeterinary sciences2026

Breed-Specific Dental Variations in Dogs Assessing Malocclusions Using Computed Tomography (CT).

Hamza Habib, Mumta Soothar, Xiaoxuan Pan, Mingfei Ding, Chengli Zheng, Ming Zhang, Ziyao Zhou

Abstract read
In one paragraph

Article in Veterinary sciences, 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

7 authors.

Hamza HabibCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0009-0003-8801-6866
Mumta SootharCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0009-0001-4680-2581
Xiaoxuan PanCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Mingfei DingCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Chengli ZhengSichuan Institute of Musk Deer Breeding, Chengdu 611731, China.ORCID 0000-0003-2933-3645
Ming ZhangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Ziyao ZhouCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.

Funding

The Natural Science Foundation of Sichuan Province 24NSFSC1281
6 · The paper itself

Abstract

Dental malocclusions are common and often underdiagnosed situations in dogs, which might result in oral trauma, impaired mastication, and periodontal disease. Nevertheless, scientific investigations into breed-specific variations in dentition remain scarce. To evaluate breed-specific dental variations in dogs, a retrospective cross-sectional analysis was conducted on 92 clinical canine head computed tomography (CT) scans obtained in Chengdu, China, representing a range of breeds and skull morphologies. Dental alignment and occlusal relationships were calculated using standardized malocclusion classification criteria. As a result, malocclusions were found and identified in 46.7% of dogs. Among them, brachycephalic breeds indicated a high prevalence of malocclusion, with Shiba Inu dogs demonstrating the highest malocclusion rate (66.7%), whereas Golden Retrievers and Akitas showed the lowest prevalence (16.7%). Class I malocclusions characterized by dental crowding were most common (44.19%), followed by Class II malocclusions (overbite) (30.23%), and Class III malocclusions (underbite) (20.93%). Our findings demonstrated a strong association between skull morphology and dental alignment abnormalities.

Indexed as

breed-specific dental deformitiescomputed tomography (CT)finite element analysismalocclusion in dogs

Identifiers

PMID42188950
PMCPMC13211505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.