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Record W4414625359 · doi:10.1177/1098612x251360611

Randomized, non-inferiority clinical trial of three topical dermatophytosis treatments in shelter cats

2025· article· en· W4414625359 on OpenAlexaff
Lena G. DeTar, Kyrsten J Janke, Linda S. Jacobson

Bibliographic record

VenueJournal of Feline Medicine and Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsWildlife Conservation Society Canada
FundersAmerican Society for The Prevention of Cruelty To Animals ProfessionalCornell Feline Health Center
KeywordsCATSClinical trialChlorhexidineItraconazolePlaceboConfidence intervalDermatophyte

Abstract

fetched live from OpenAlex

Objectives Topical treatments, along with systemic oral antifungals, are the mainstay of infection and environmental control for cats with dermatophytosis in animal shelters. This study aimed to provide realistic expectations of the performance of three commonly used topical treatments to help shelters minimize the length of stay and optimize feline welfare. Methods A prospective, randomized, semi-blinded clinical trial compared treatment success and time to cure for miconazole chlorhexidine (MC) and hydrogen peroxide (HP) shampoos vs lime sulfur (LS) using a non-inferiority model. Cats with Microsporum canis were enrolled at four US animal shelters, treated with oral itraconazole and randomized into three topical treatment groups. Treatment success was defined as mycological cure by 7 weeks, while inferiority was defined as requiring more than 1 additional week to achieve cure. Results A total of 76 cats were enrolled. LS significantly outperformed both alternatives in cure by 7 weeks. Time to cure analysis showed significant differences between LS (mean 27 days, range 7–45) vs MC (37, 14–62) ( P = 0.04) and LS vs HP (36, 11–65) ( P = 0.06). Although alternative products took significantly longer to cure, confidence intervals (CIs) around the difference of means included the inferiority margin: LS vs MC (9.66, 95% CI 0.7–18.5) and LS vs HP (8.54, 95% CI 0.44–16.6). Therefore, inferiority of the alternative products was suggestive but inconclusive. After controlling for confounders, a Cox proportional hazards analysis confirmed significantly poorer performance of MC ( P = 0.003) and HP ( P = 0.032) vs LS. Younger age also significantly prolonged treatment ( P = 0.039), while intake type, co-housing and low body condition score did not. Shelter staff ratings showed no differences between products in terms of treatment unpleasantness, difficulty or cat reactions. Conclusions and relevance In this study, LS outperformed HP and MC in treating cats with M canis . Younger cats took a longer time to achieve cure. If shelters or practitioners wish to use an alternative topical treatment to LS, then HP should be considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.406
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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