Evidence map›Paper›PMID 41893652›Full record

ArticleVeterinary sciences2026

Association Between Serum Symmetric Dimethylarginine and Tooth Resorption in Cats: An Exploratory Study on the Oral-Renal Axis.

Kurtuluş Parlak, Murat Kaan Durgut, Hilmican Ergin, Elgin Orçum Uzunlu, Selman Pulat, Furkan Çağrı Beşoluk

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. 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

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

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

6 authors.

Kurtuluş ParlakDepartment of Surgery, Faculty of Veterinary Medicine, Selcuk University, Selçuklu, Konya 42130, Türkiye.ORCID 0000-0002-8656-037X
Murat Kaan DurgutDepartment of Internal Medicine, Faculty of Veterinary Medicine, Selcuk University, Selçuklu, Konya 42130, Türkiye.ORCID 0000-0002-4582-8536
Hilmican ErginDepartment of Surgery, Faculty of Veterinary Medicine, Selcuk University, Selçuklu, Konya 42130, Türkiye.
Elgin Orçum UzunluDepartment of Wild Animal Diseases and Ecology, Faculty of Veterinary Medicine, Dicle University, Sur, Diyarbakir 21280, Türkiye.ORCID 0000-0001-5356-8968
Selman PulatDepartment of Surgery, Faculty of Veterinary Medicine, Selcuk University, Selçuklu, Konya 42130, Türkiye.
Furkan Çağrı BeşolukDepartment of Veterinary Biostatistics, Faculty of Veterinary Medicine, Selcuk University, Selçuklu, Konya 42130, Türkiye.ORCID 0000-0002-1967-9418

Funding

Selcuk University Scientific Research Projects (BAP) Coordinating Office grant number 22401135
6 · The paper itself

Abstract

backgroundTooth resorption (TR) is a prevalent dental condition with under-investigated systemic implications, particularly regarding renal health. This study aimed to evaluate renal biomarkers, specifically symmetric dimethylarginine (SDMA), and the association between TR and blood parameters.

methodsThirty-six cats (24 TR; 12 controls) were evaluated via intraoral radiography and blood analysis. Multivariable logistic regression was performed to identify independent predictors for TR, adjusting for age and sex.

resultsTooth resorption was diagnosed in 66.7% of the cats, predominantly affecting the mandibular first molars (409) and fourth premolars (108). A strong association was identified between TR stages and lesion types (

conclusionsOur findings regarding the oral-renal axis emphasize that feline TR involves chronic systemic inflammation. Consequently, it should be managed as a condition with measurable systemic impacts rather than merely a localized disease.

Indexed as

feline tooth resorptionoral-renal axisSDMAsystemic inflammation

Identifiers

PMID41893652
PMCPMC13030636

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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.