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Record W4388157271 · doi:10.1002/vrc2.756

Manifestation of oculorenal syndrome in a dog chronically receiving zonisamide

2023· article· en· W4388157271 on OpenAlexaboutno aff
Kyle L. Granger, Helena Vogel, Chad Frank, Lisa R. Bartner, Kelly E. Hall

Bibliographic record

VenueVeterinary Record Case Reports · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineZonisamideProteinuriaHistopathologyUveitisNephropathyMetabolic acidosisPediatricsLabrador RetrieverInternal medicineSurgeryPathologyEpilepsyKidneyDiabetes mellitusEndocrinologyOphthalmology

Abstract

fetched live from OpenAlex

Abstract Tubulointerstitial nephropathy and uveitis, otherwise more broadly known as oculorenal syndrome in human medicine, is a condition that has, to the authors’ knowledge, not been described in veterinary medicine. This report describes an 8‐year‐old, male, neutered, mixed breed dog with a 6‐year history of idiopathic epilepsy, chronically receiving zonisamide, who was presented for sub‐acute and recurrent episodes of severe generalised weakness, altered mentation and inappropriate urination. Throughout the dog's hospital visits, recurrent anterior uveitis, progressive severe metabolic acidosis, proteinuria, persistent granular casts and severe renal tubular acidosis, which progressed to renal insufficiency, were evident. Due to a poor prognosis and perceived poor quality of life, the dog was humanely euthanased. Postmortem examination and histopathology revealed tubulointerstitial nephropathy. In conjunction with clinical uveitis, this presentation reflects similarities with the human oculorenal syndrome, here referred to as canine oculorenal syndrome suspected secondary to chronic zonisamide administration.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.167
GPT teacher head0.438
Teacher spread0.271 · 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 designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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