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Record W4388202324 · doi:10.1055/s-0043-1775670

Repair of an Avulsion Fracture of the Caudal Cruciate Ligament Origin Combined with a TPLO in a Dog

2023· article· en· W4388202324 on OpenAlexaboutno aff
A.A. Pike, Raviv Balfour

Bibliographic record

VenueVeterinary and Comparative Orthopaedics and Traumatology · 2023
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCruciate ligamentAvulsion fractureAvulsionSurgeryAnatomyOrthodonticsAnterior cruciate ligament

Abstract

fetched live from OpenAlex

Case Report : Caudal cruciate ligament (CaCL) femoral avulsion fractures are rarely documented and a true incidence is unclear. A literature search revealed very few cases of a CaCL avulsion fracture or rupture combined with a cranial cruciate ligament (CrCL) rupture. Only a single case report described surgical treatment of this combination by fragment removal and stifle stabilization with an extracapsular suture. A 1-year-old female spayed Labrador Retriever presented with a hind leg lameness. Exam revealed cranial drawer of the stifle, consistent with CrCL rupture. Stifle effusion, as well as a bone opacity seen in the trochlear groove, was evident on radiographs. At surgery, arthrotomy revealed a torn CrCL as well as an avulsion fracture of the CaCL origin from the medial femoral condyle. The avulsion fracture was reduced, and three 0.035-inch Kirschner wires (K-wires) were placed in a divergent fashion through the fragment into the medial femoral condyle. A TPLO was then performed to address the CrCL rupture. Six-week recheck radiographs showed good healing of the TPLO as well as the repaired avulsion fracture, despite breakage of one of the K-wires. The dog was mildly lame at 6-week follow-up and subsequently improved to clinically normal on the leg at 8-month follow-up with optimal bone healing on radiographs. To the author's knowledge, this is the first case report to describe a CaCL avulsion fracture repair with K-wires combined with a TPLO for a torn CrCL, with an excellent clinical outcome. Acknowledgments : There was no proprietary interest or funding provided for this project. Publication History Article published online: 11 September 2023 © 2023. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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)0.003
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 score0.008
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0080.002
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 head0.097
GPT teacher head0.344
Teacher spread0.247 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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