Evidence map›Paper›PMID 39663691›Full record

ArticleVeterinary ophthalmology2025

Keratoconjunctivitis sicca in intact Aksaray Malakli breed dogs: Evaluation of 50 cases.

Nihan Avci, Fehmiye Gumus, Basak Boztok Ozgermen, Dogukan Ozen

Abstract read
In one paragraph

Article in Veterinary ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Nihan AvciFaculty of Veterinary Medicine, Department of Surgery, Aksaray University, Aksaray, Turkey.ORCID https://orcid.org/0000-0001-6789-8474
Fehmiye GumusFaculty of Veterinary Medicine, Department of Surgery, Aksaray University, Aksaray, Turkey.ORCID https://orcid.org/0000-0003-1670-0709
Basak Boztok OzgermenFaculty of Veterinary Medicine, Department of Surgery, Aksaray University, Aksaray, Turkey.ORCID https://orcid.org/0000-0001-7039-8956
Dogukan OzenFaculty of Veterinary Medicine, Department of Biostatistics, Ankara University, Ankara, Turkey.ORCID https://orcid.org/0000-0003-1943-2690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesKeratoconjunctivitis sicca (KCS) is characterized by decreased aqueous tear film components, leading to ocular surface damage. Diagnosis involves clinical examination, Schirmer Tear Test (STT1), and Tear Film Break-Up Time (TFBUT) measurement. This retrospective study aimed to assess dry eye syndrome in intact, purebred, Aksaray Malakli breed dogs, and investigate potential associations with hereditary ocular diseases due to inbreeding for phenotype preservation. ANIMALS: Fifty healthy, purebred, intact Aksaray Malakli dogs of varying ages and sexes, all exhibiting conjunctival hyperemia and mucoid ocular discharge. Dogs with chronic diseases, systemic medication, or ongoing ophthalmic treatment were excluded. PROCEDURES: Demographic data, ophthalmic examination results, and ocular anomalies were recorded. STT1 and TFBUT assessments were performed to measure tear production and film stability. STT1 values were scored from 1 (normal) to 4 (severe dry eye), and TFBUT ≥20 s was considered normal. Statistical analyses were used to evaluate correlations and differences.

resultsThe correlation between age and STT1 values (r = -.182, p = .206) was not statistically significant. Mean STT1 was higher in females than males, though not significantly (p = .849). Dogs without third eyelid gland prolapse had significantly higher STT1 and TFBUT measurements compared to those with prolapse (p = .027). No significant sex difference was found in the frequency of third eyelid prolapse (p = .289). A significant positive correlation was observed between STT1 and TFBUT (r = .924; p < .001).

conclusionsAksaray Malakli dogs, particularly those with third eyelid gland prolapse, are predisposed to mild to moderate KCS. These findings suggest the need for further clinical and genetic investigations to better understand and manage dry eye syndrome in this breed.

Indexed as

Dog DiseasesKeratoconjunctivitis SiccaAnimalsDogsFemaleMaleRetrospective StudiesTearscanine ocular diseasediagnostic tooldry eyeSchirmer tear testtear filmtear film break‐up time

Identifiers

PMID39663691
PMCPMC12488534

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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.