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Record W4283830111

Counterclockwise gastric dilatation and volvulus in a dog.

2022· article· en· W4283830111 on OpenAlexaff
Jaymie N Zweig, Whitney DeGroot

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsOccupational Cancer Research Centre
Fundersnot available
KeywordsMedicineVolvulusGastropexyGastric volvulusGastric outlet obstructionExploratory laparotomyImpactionSurgeryGastric distensionAbdominal distensionGastric emptyingStomachInternal medicineDistension
DOInot available

Abstract

fetched live from OpenAlex

a nasogastric tube, and analgesia was initiated. The dog developed aspiration pneumonia during hospitalization and became oxygen-dependent. There was no significant improvement of clinical status despite 72 h of medical management, and surgical intervention was subsequently recommended. Exploratory laparotomy revealed a counterclockwise gastric dilatation and volvulus. The stomach was repositioned into normal anatomic position and an incisional gastropexy was performed. The dog was maintained in the intensive care unit for 4 d postoperatively. Currently, 3 mo postoperatively, the dog is healthy without recurrence of clinical signs. Key clinical message: Counterclockwise gastric dilatation and volvulus is a rare condition in veterinary medicine; however, it should be considered in a patient with acute gastric distension and signs of pyloric outflow obstruction when characteristic radiological signs of clockwise gastric dilatation and volvulus are absent, and there is radiological evidence of persistent gastric foreign material despite medical management. Misdiagnosis of counterclockwise gastric dilatation and volvulus can delay definitive surgical intervention and lead to higher morbidity and mortality.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.226
Teacher spread0.213 · 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
Published2022
Admission routes1
Has abstractyes

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