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Record W4404027628 · doi:10.1111/vco.13023

Outcomes and Perioperative Complications of Surgical Resection on Canine Carotid Paragangliomas (21 Cases): A Veterinary Society of Surgical Oncology Study

2024· article· en· W4404027628 on OpenAlexaff
Kathryn Marie Paskoff, Brad M. Matz, Quentin Fournier, Josep Aisa, Michelle L. Oblak, Jonathan Bray, Daniel S. Linden

Bibliographic record

VenueVeterinary and Comparative Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCarotid bodyPerioperativeParagangliomaSurgeryMortality rateAspiration pneumoniaAirway obstructionSurvival rateCohortPneumoniaAirwayCarotid arteriesInternal medicine

Abstract

fetched live from OpenAlex

Carotid body paragangliomas represent an uncommon neoplasm in dogs. The objective of this study was to report outcomes and complications associated with surgical excision of carotid body paragangliomas in 21 dogs. Cases were recruited retrospectively via medical record review from 9 veterinary speciality centres. The perioperative complication rate was 52% (11/21). Complications encountered in this cohort related to removal of carotid body tumour included airway obstruction, aspiration pneumonia, megaesophagus, unilateral laryngeal paralysis, coughing and Horner's syndrome. The overall perioperative mortality rate was 4.7% (1/21 dogs) and median survival time was 554 days for the six patients with known dates of death. One- and two-year survival rates were 61% and 42%, respectively. This is the largest collection of carotid body paraganglioma cases reported in veterinary literature. Based on these results, surgical resection of carotid body paragangliomas was associated with low perioperative mortality and long survival times.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.212
GPT teacher head0.476
Teacher spread0.264 · 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.

Study designNon-randomized 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
Published2024
Admission routes1
Has abstractyes

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