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Successful surgical retrieval of intestinal foreign body in a Labrador dog: A case report

2023· article· en· W4386549125 on OpenAlexaboutno aff
M Vijayakumar, A. Velavan, Subramani Kandasamy, A. Kumaresan, S. Kathirvel, S. Kokila, D. Sumathi, S. Dharmaceelan

Bibliographic record

VenueInternational Journal of Veterinary Sciences and Animal Husbandry · 2023
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsEnterotomyMedicineForeign bodyIsofluraneRectumFibrous jointAnorexiaSurgeryAnesthesiaLaparotomyPathology

Abstract

fetched live from OpenAlex

Dogs have indiscriminate feeding habits and often swallow non edible foreign body. A two and half-year-old male Labrador dog was presented to the veterinary clinical complex, Veterinary College and Research Institute Namakkal with a history of anorexia and not voiding faeces. Ultrasonography revealed distended intestinal loops cranial to the hyperechoic shadowing area measuring about 6 cm. Rectal examination revealed an empty rectum. Plain radiography revealed no significant findings. Further contrast radiography study suggested of intestinal stasis. Haemato- Biochemical parameters evaluated were within the normal range. Under general anaesthesia using propofol and maintenance of Isoflurane gas midline celiotomy was performed. Enterotomy was performed and the foreign body socks was removed successfully. Intestine was closed by single layer interrupted suture followed by connel suture pattern. Post operatively animal was treated with antibiotics and analgesic for 5 days and the animal recovered uneventfully.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.011
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0030.003
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0110.005
Insufficient payload (model declined to judge)0.0020.002

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 head0.087
GPT teacher head0.431
Teacher spread0.344 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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