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Record W4411436731 · doi:10.1177/03009858251345829

Hamartomas of the alimentary tract in dogs: A case series

2025· article· en· W4411436731 on OpenAlexaff
Silvia Ferro, Giorgia Mezzalira, Ginevra Brocca

Bibliographic record

VenueVeterinary Pathology · 2025
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPathologyHamartomaGastrointestinal tractH&E stainMedicineImmunohistochemistryLuxol fast blue stainTrichromeMasson's trichrome stainNeurofilamentAnatomyInternal medicineCentral nervous system

Abstract

fetched live from OpenAlex

Hamartomas are benign proliferations of disorganized tissues normally present in a given site. This study aimed to characterize histopathological features of alimentary tract hamartomas in dogs, focusing on their classification and diagnostic methods. Samples collected from 2 veterinary archives were evaluated using hematoxylin and eosin (HE), Masson's trichrome (MT), Gomori, and Luxol fast blue stains. Immunohistochemistry was performed for α-smooth muscle actin (SMA), neurofilament, GFAP, neuron-specific enolase, von Willebrand factor, and c-kit. Sixteen hamartomas were identified: 6 neuromuscular and vascular hamartomas, 9 neurovascular hamartomas, and 1 vascular hamartoma. Locations included the oral cavity (6/16) and the gastrointestinal tract (10/16). Most dogs were mixed breeds (8/16) with a median age of 10.5 years. These findings suggest that hamartomas should be included in the differential diagnosis of oral and gastrointestinal masses in dogs. For accurate classification and diagnosis, MT in combination with α-SMA and neurofilament immunohistochemistry is recommended, in addition to routine HE.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.347
Threshold uncertainty score0.208

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.034
GPT teacher head0.327
Teacher spread0.293 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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