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Record W3004621582 · doi:10.2106/jbjs.rvw.19.00049

Arthroscopic Management of Anterior Glenoid Bone Loss

2020· review· en· W3004621582 on OpenAlexaff
Devin B. Lemmex, Gabriel Cárdenas, Matthew Ricks, Jarret M. Woodmass, Mikaël Chelli, Pascal Boileau

Bibliographic record

VenueJBJS Reviews · 2020
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of ManitobaPan Am Clinic
Fundersnot available
KeywordsMedicineAnterior shoulderSoft tissueSurgeryBankart repairArthroscopy

Abstract

fetched live from OpenAlex

Anterior glenohumeral instability is a complex problem that requires careful attention to osseous and soft-tissue lesions in order to treat it effectively. The arthroscopic soft-tissue Bankart repair is considered first-line treatment for patients with anterior glenohumeral instability. However, recent long-term outcome studies have shown surprisingly high failure rates, specifically in the setting of anterior glenoid bone loss. The definition of "critical" glenoid bone loss that cannot be overcome by a soft-tissue procedure alone continues to evolve and may in fact be lower than the previously published total of 20%. Arthroscopic reconstruction of the anterior glenoid margin can be performed with either autograft or allograft. The arthroscopic Latarjet procedure has emerged as a reliable and effective technique for autograft augmentation, while the distal aspect of the tibia appears to be a promising source of allograft.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.093
GPT teacher head0.421
Teacher spread0.329 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations22
Published2020
Admission routes1
Has abstractyes

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