Evidence map›Paper›PMID 40427306›Full record

ArticleAnimals : an open access journal from MDPI2025

A Randomised-Controlled Study Demonstrates That Diet Can Contribute to the Clinical Management of Feline Atopic Skin Syndrome (FASS).

Adrian Watson, Jeremy Laxalde, Thomas Brément, Emilie Vidémont Drevon-Gaillot, Marion Mosca, Elisa Maina, Xavier Langon

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

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

7 authors.

Adrian WatsonRoyal Canin SAS, 30740 Aimargues, France.ORCID 0000-0002-7623-0457
Jeremy LaxaldeRoyal Canin SAS, 30740 Aimargues, France.
Thomas BrémentVeterinary Dermatology Referral Service EIRL Vet'Dermathome, 83190 Ollioules, France.
Emilie Vidémont Drevon-GaillotCentre Hospitalier Vétérinaire Saint-Martin, 321 Impasse des Champs, 74350 Allonzier la Caille, France.
Marion MoscaVetAgro Sup, Interactions Cells Environment, UPSP 2016.A104, Université de Lyon, 69280 Marcy L'étoile, France.ORCID 0000-0002-7682-2452
Elisa MainaDepartment of Clinical Veterinary Medicine, Clinical Dermatology, Vetsuisse Faculty, University of Bern, CH-3012 Bern, Switzerland.ORCID 0009-0004-8255-0563
Xavier LangonRoyal Canin SAS, 30740 Aimargues, France.

Funding

Mars (France) Not ApllicableRoyal Canin Not applicable
6 · The paper itself

Abstract

Feline atopic skin syndrome (FASS) is a common inflammatory and highly pruritic skin condition. It typically manifests according to one or more of four different clinical lesion patterns: miliary dermatitis, self-induced alopecia, head and neck pruritus, and eosinophilic granuloma complex. FASS is a chronic and relapsing condition that often persists for life. Effective management can be a significant challenge for both clinicians and owners. Here, we investigated whether diet could act as an adjunct to conventional medicated therapies to improve the management of FASS. We conducted a six-month randomised, placebo-controlled, double-blinded study on client-owned FASS cats to test a novel pet food formulation. The main variables followed were the veterinarian (FeDESI) and the owner (VAScat) assessing symptom severity, in addition to medication requirements. Compared to the control diet, the test diet not only ameliorated symptoms but also significantly reduced the dependency on medication. The VAScat metric was improved after 3 months (

Indexed as

allergycatdermatitisinflammationnutritionpruritus

Identifiers

PMID40427306
PMCPMC12108445

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.