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Record W1693307748 · doi:10.1016/j.eats.2015.04.005

Arthroscopic Anatomic Glenoid Reconstruction Without Subscapularis Split

2015· article· en· W1693307748 on OpenAlexaff
Ivan Wong, Nathan Urquhart

Bibliographic record

VenueArthroscopy Techniques · 2015
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsCapital District Health AuthorityNova Scotia Health AuthorityDalhousie University
FundersSmith and NephewBiomet
KeywordsMedicineCoracoidSurgeryAnterior shoulderArthroscopyArticular surfaceBankart repairAnterior shoulder dislocationCannula

Abstract

fetched live from OpenAlex

The role of bone loss from the anterior glenoid in recurrent shoulder instability has been well established. We present a completely arthroscopic technique for reconstructing the anterior glenoid with distal tibial allograft and without a subscapularis split. We perform the arthroscopy in the lateral position. We measure and size an allograft distal tibial graft and place it arthroscopically. We use an inside-out medial portal to introduce the graft into the shoulder, passing it through the rotator interval and above the subscapularis. A double-cannula system is used to pass the graft, which is temporarily fixed with K-wires and held in place with cannulated screws. We then perform a Bankart-like repair of the soft tissues to balance the shoulder and augment our repair. Our technique is not only anatomic in the re-creation of the glenoid surface but also anatomic in the preservation of the coracoid and subscapularis tendon and repair of the capsulolabral complex.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.343
Teacher spread0.308 · 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

Citations65
Published2015
Admission routes1
Has abstractyes

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