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Record W4412800179 · doi:10.21708/avb.2025.19.1.12669

Use of autologous common tunica vaginalis associated with polypropylene mesh in the treatment of perineal hernia in dogs (Canis lupus familiaris Linnaeus, 1758)

2025· article· en· W4412800179 on OpenAlexaff
Millena Sampaio Gracialiano, Liandra Amara Garcia Alves, Fernando do Carmo Silva, Kamile Daguano Sena, Vinícius dos Santos Rosa, Rafael de Maio Godoi, Ivan Felismino Charas dos Santos

Bibliographic record

VenueActa Veterinaria Brasilica · 2025
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsCanadian Association for Laboratory Animal Science
Fundersnot available
KeywordsCanisMedicineHerniaSystemic lupus erythematosusTunica vaginalisSurgeryBiologyPathologyEcology

Abstract

fetched live from OpenAlex

The aim of this report was to describe a case of unilateral perineal hernia in a dog treated with autologous common tunica vaginalis combined with polypropylene surgical mesh. An elderly, intact male Poodle with a history of swelling in the right perineal region was presented for treatment. Clinical and ultrasound examinations revealed a muscular defect, leading to a presumptive diagnosis of perineal hernia and benign prostatic hyperplasia. The treatment involved the implantation of a polypropylene mesh covered with autologous common tunica vaginalis at the site of the muscular defect, combined with orchiectomy and ductal deferentopexy. The patient demonstrated satisfactory clinical progress, with no complications observed during the clinical or surgical follow-up. In conclusion, the use of autologous common tunica vaginalis combined with polypropylene surgical mesh proved to be an effective treatment for unilateral dorsal perineal hernia in an elderly Poodle, with an 11-month follow-up period confirming its success.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.303
Teacher spread0.261 · 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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