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Record W2971558537 · doi:10.1177/2055116919872301

Transvaginal uterine evisceration during labor in a Bengal queen

2019· article· en· W2971558537 on OpenAlexaff
Mila Freire, Mouhamadou Diaw

Bibliographic record

VenueJournal of Feline Medicine and Surgery Open Reports · 2019
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsUniversité de Montréal
FundersZoetis
KeywordsMedicineUterusVulvaSurgeryEvisceration (ophthalmology)Exploratory laparotomyHysterectomyLaparotomyDissection (medical)Labia minoraVagina

Abstract

fetched live from OpenAlex

CASE SUMMARY: A 2.5-year-old Bengal queen was admitted with a 12-h history of a mass protruding from the vulva during labor. At that time, three healthy kittens had already been delivered. Physical examination identified the mass as a portion of the uterus that was eviscerated without eversion of the mucosa. Exploratory laparotomy revealed a vaginal vault rupture with a large portion of the uterus herniated through the tear and eviscerated through the vulva. Ovariohysterectomy was performed, and a dead fetus was removed with the uterus. Reconstruction of the vaginal rupture required careful dissection and urethral catheterization. The queen recovered without complications. RELEVANCE AND NOVEL INFORMATION: Uterine evisceration through a vaginal tear is a very rare condition that sometimes is erroneously referred to as 'prolapse'. Uterine prolapse and uterine evisceration may have similar presenting signs; however, proper identification and surgical correction is key when the uterus is eviscerated. This case highlights the importance of differentiating these two conditions and of rapid identification and surgical intervention for successful patient survival.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.371
Teacher spread0.300 · 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 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

Citations2
Published2019
Admission routes1
Has abstractyes

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