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Record W4410579381 · doi:10.1016/j.rvsc.2025.105710

Treatment of fungal urinary tract disease in dogs and cats: a scoping review

2025· review· en· W4410579381 on OpenAlex
J. Scott Weese, H. Weese

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch in Veterinary Science · 2025
Typereview
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsConestoga CollegeUniversity of Guelph
Fundersnot available
KeywordsCATSUrinary systemDiseaseMedicinePhysiologyInternal medicineMicrobiologyBiology

Abstract

fetched live from OpenAlex

Fungal urinary tract disease has been poorly studied in veterinary medicine. While it is an uncommon condition, identification of fungal cystitis or pyelonephritis raises many clinical questions about optimal management practices. To better understand optimal management approaches and inform guideline development, a scoping review was to identify available evidence pertaining to treatment of fungal urinary tract disease in dogs and cats. After de-duplication and relevance screening, 28 studies were included in the synthesis). Twenty-six (93 %) were single case reports and 2 (7.1 %) were case series' describing fungal infections in 16 (62 %) dogs and 10 (38 %) cats. Antifungal treatment of cystitis, pyelonephritis, funguria and fungal balls was described, with variable drugs and regimens. Varied treatment approaches and outcomes have been reported, but controlled trials are lacking. In lieu of that, larger and more structured multicentre observational studies are needed to better understand treatment approaches and inform evidence-based guidelines.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.468
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.303
GPT teacher head0.555
Teacher spread0.252 · 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