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Record W4401074565 · doi:10.21897/rmvz.3470

Gossypiboma secondary to ovariohysterectomy in a dog

2024· article· en· W4401074565 on OpenAlexaboutno aff
Fabiano da Silva Flores, Carolina Cauduro da Rosa, Graciane Aiello, Anna Vitória Hörbe, Glaucia D. Kommers, Luís Felipe Dutra Corrêa

Bibliographic record

VenueRevista Mvz Córdoba · 2024
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsnot available
Fundersnot available
KeywordsGossypibomaMedicinePalpationAbdominal cavityForeign bodySurgeryHistopathological examinationForeign BodiesPhysical examinationAbdominal surgeryAbdominal massGeneral surgeryPathology

Abstract

fetched live from OpenAlex

In veterinary medicine, intra-abdominal foreign bodies are a possible secondary complication of surgical procedures. Gossypiboma is defined as a forgotten textile material after surgery and is considered rare in veterinary medicine because most cases go unreported. The objective of this work is to report the diagnosis of an intra-abdominal gossypiboma in a dog, secondary to theovaryhysterectomy procedure. A 10-year-old Labrador dog had been sterilized about eight years ago. During the clinical analysis, a firm-looking increase in volume was found in the right mesogastric region, without the presence of pain on palpation. For further investigation, the patient was referred for additional imaging tests, such as x-ray and ultrasound. During inspection of the abdominal cavity, a firm circular mass was observed adhered to the omentum and jejunum, caudal to the right kidney. Resection of the mass was performed, and then the mass sample was sent for histopathological examination, which revealed an encapsulated foreign body, consistent with surgical gauze. Gossypiboma is one of the possible complications in surgical procedures in the abdominal cavity, but it is rarely reported in the veterinary literature.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.322
Teacher spread0.303 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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