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Record W2794223716 · doi:10.1111/vsu.12775

Application of tendon plating to manage failed calcaneal tendon repairs in a dog

2018· article· en· W2794223716 on OpenAlexaboutno aff
Eric M. Zellner, Michael Hale, Karl H. Kraus

Bibliographic record

VenueVeterinary Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurgeryTendonSling (weapon)Achilles tendon

Abstract

fetched live from OpenAlex

OBJECTIVE: To report the application of a plate to treat a complicated calcaneal tendon rupture and the resulting outcome. STUDY DESIGN: Clinical case report. ANIMALS: A 3-year-old Labrador retriever. METHODS: A 3-year-old Labrador retriever was treated for a partially ruptured calcaneal tendon. Two primary tendon repairs with sutures and external fixation had failed. A veterinary cuttable plate was placed to internally span the tendon over the primary repair. The external fixation that had been previously placed was maintained, and the dog was placed in a non-weight-bearing sling for 3 weeks after surgery. Adjunct therapy included an injection of platelet-rich plasma in the tendon and laser therapy. The external fixator was removed 4 weeks postoperatively, and the plate was removed 8 weeks postoperatively. RESULTS: A mature fibrous union bridged the site of anastomosis 8 weeks after surgery. The owners reported normal activity 6 months after surgery and symmetric hock angles and musculature 2 years after surgery. CONCLUSION: Adjunct plating of previously failed calcaneal tendon repairs in a dog resulted in an excellent long-term outcome. CLINICAL SIGNIFICANCE: Plating tendons can be considered as an additional method that may improve tendon apposition and decrease gap formation.

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)0.001
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 score0.262
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

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