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Record W2040225182 · doi:10.1111/avj.12153

Instrument breakage as a complication of elbow arthroscopy in a dog

2014· article· en· W2040225182 on OpenAlexaboutno aff
J.G. Grand, JA Roig, Marie de Swarte

Bibliographic record

VenueAustralian Veterinary Journal · 2014
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
FundersUniversity College Dublin
KeywordsElbowComplicationArthroscopyMedicineBreakageSurgeryGeneral surgeryComputer science

Abstract

fetched live from OpenAlex

CASE REPORT: We describe an unusual complication of a routine arthroscopic procedure to treat fragmentation of the medial portion of the coronoid process in a 1-year-old Labrador Retriever. While the lesion was being curetted, the tip of the arthroscopic curette broke off. Attempts were made to remove it, but failed, and the broken fragment migrated out of the arthroscopic field. Conversion from arthroscopy to arthrotomy was unsuccessful. On intraoperative radiographs, the metallic fragment was detected in the radial fossa of the humeral condyle. A limited surgical approach to this area, guided by ultrasound, also proved ineffective. Finally, the broken curette tip was left in situ. The dog made an uneventful recovery and 6 months after surgery it showed no lameness except after rest and there was no evidence of migration of the metallic fragment on radiographs. CONCLUSIONS: On such occasions, we recommend: (1) stop both the inflow and outflow of fluids; (2) attempt arthroscopic retrieval with a magnetic retriever and large forceps; (3) use diagnostic imaging to localise the broken fragment if it migrates out of the arthroscopic field; and (4) leave in situ if it is no longer accessible to arthroscopic extraction. This is the first report of an instrument breakage during arthroscopy in a dog.

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)0.005
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 score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0070.003
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 head0.088
GPT teacher head0.365
Teacher spread0.277 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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