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Record W4362601525 · doi:10.1111/jsap.13612

Biliary<i>Enterocytozoon bieneusi</i>infection in a dog under immunomodulatory therapy

2023· article· en· W4362601525 on OpenAlexaboutno aff
Lina A. Wolfer, Walter Basso, Caroline F. Frey, Simone Schüller, Bénédicte Amphimaque, Jovana Janković, Judith Howard, Laureen M. Peters

Bibliographic record

VenueJournal of Small Animal Practice · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAlbendazoleInternal medicinePrednisoloneAscitesGastroenterologyEnterocytozoon bieneusiNeutropeniaKetoconazoleSurgeryChemotherapyPathologyDermatology

Abstract

fetched live from OpenAlex

An 8-year-old female spayed Labrador retriever was presented for the evaluation of severe weight loss 10 weeks after starting an immunomodulatory treatment, including prednisolone and cyclosporine, for meningoencephalitis of unknown origin. Plasma biochemistry analysis showed mild to moderate increases in liver enzyme activities and a moderate decrease in urea concentration. Abdominal ultrasound revealed mild hepatomegaly and a large gall bladder with unremarkable wall and content. Cholecystocentesis was performed and bile was examined both cytologically and by molecular methods, which revealed the presence of Enterocytozoon bieneusi. Treatment was initiated with albendazole but was discontinued due to the development of severe neutropenia. The medical management was subsequently changed to fenbendazole and the dog made a complete recovery. This report describes the first case of clinical manifestation and successful treatment of biliary E. bieneusi infection in a dog.

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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.035
GPT teacher head0.310
Teacher spread0.275 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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