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Record W2011077870 · doi:10.3415/vcot-11-03-0036

Partial scapulectomy for treatment of an articular fracture of the scapula in a cat

2011· article· en· W2011077870 on OpenAlexaff
Stephen French, Stephanie Nykamp, P. Brendon Ringwood, Rhea L. Plesman

Bibliographic record

VenueVeterinary and Comparative Orthopaedics and Traumatology · 2011
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineScapulaLamenessRadiographyReduction (mathematics)LigamentForelimbAnatomySurgery

Abstract

fetched live from OpenAlex

A seven-month-old cat was referred, after having been missing for one week, for evaluation and treatment of a right forelimb injury and facial fractures. On physical examination, a moderate partial weight-bearing lameness of the right forelimb was present, with palpable crepitus in the glenohumeral joint. Dental radiographs revealed a midline palatal fracture and rostral fractures of the left maxillary canine alveolar bone. Radiographs of the right shoulder revealed a Type III or intra- articular fracture of the scapula with moderate displacement of the fracture at the articular surface. Early fibrous healing of the fracture was observed and the caudal aspect of the medial glenohumeral ligament was ruptured. Due to the chronicity, reduction and stabilization was not attempted. Instead, the caudal aspect of the medial glenohumeral ligament was incised along its origin and approximately 30% of the glenoid was removed. The caudal glenohumeral ligament was attached to the subscapularis muscle. Three years after surgery, the owner reported that the cat continued to experience no visible lameness and led an active lifestyle. This case report demonstrates that a partial caudal scapulectomy can result in full return of function of the forelimbs in cats with scapular fractures, especially when joint involvement is severe and the articular cartilage is affected. To the authors' knowledge, this is the first report of a partial scapulectomy, utilized for fracture management, in the veterinary literature.

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 score0.118
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.215
GPT teacher head0.353
Teacher spread0.137 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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