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Record W2131610165 · doi:10.1136/vetreccr-2015-000177

Management of an anaphylactoid crisis due to mast cell degranulation in a dog during general anaesthesia

2015· article· en· W2131610165 on OpenAlexaboutno aff
Hulda Harðardóttir, D. A. Yool, Jessica Lawrence, Juliet Duncan

Bibliographic record

VenueVeterinary Record Case Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBronchospasmDegranulationAnesthesiaMast cellGeneral anaesthesiaAnaphylactoid reactionsLabrador RetrieverAnaphylaxisSurgeryAllergyImmunologyInternal medicineAsthma

Abstract

fetched live from OpenAlex

It is widely stated within the veterinary literature that manipulation of a mast cell tumour can lead to an anaphylactoid reaction; however, there is limited information on the frequency or management of such cases in companion animals. A nine‐year‐old, 38.4 kg, female neutered, labrador (retriever) presented for excision of a cutaneous mast cell tumour located on the left lower eyelid. This report describes a Grade III anaphylactoid crisis (hypotension, bradycardia and bronchospasm) that occurred when the dog was under general anaesthesia following mast cell degranulation. Prompt management following fluid resuscitation, administration of an aerosolised bronchodilator and intravenous atropine, successfully addressed the underlying pathophysiology of anaphylactoid crisis.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.353
Teacher spread0.292 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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