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Record W2278997631 · doi:10.1177/2325967115s00048

Clinical Outcomes Following Revision Anterior Shoulder Stabilization

2015· article· en· W2278997631 on OpenAlexaboutno aff
Rachel M. Frank, C Mellano, Jason J. Shin, Terrence F. Feldheim, Randhir Mascarenhas, Adam B. Yanke, Brian J. Cole, Gregory P. Nicholson, Anthony A. Romeo, Nikhil N. Verma

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineShouldersSubluxationAnterior shoulderVisual analogue scaleLatarjet procedureSurgeryElbowSoft tissueCoracoidRetrospective cohort studyRadiography

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study was to determine the clinical outcomes following revision anterior shoulder stabilization performed either via all-arthroscopic soft tissue repair or via Latarjet coracoid transfer. Methods: A retrospective review of prospectively collected data on 91 shoulders undergoing revision anterior shoulder stabilization was performed. All patients underwent prior soft tissue stabilization; those with prior open bone grafting procedures were excluded. For patients with 25% glenoid bone loss, Latarjet was performed (n=28). Patients were queried regarding recurrent instability (subluxation or dislocation). Clinical outcomes were evaluated using validated patient reported outcome questionnaires including the American Shoulder and Elbow Surgeons (ASES) score, Simple Shoulder Test (SST), visual analog scale (VAS) for pain, and Western Ontario Shoulder Instability Index (WOSI). Results: A total of 63 shoulders in 62 patients (46 males, 16 females) with an average age of 23.2 ± 6.9 years were included in the revision arthroscopy group. At an average follow-up of 46.9 ± 16.8 months (range, 15 to 78), the mean WOSI score was 80.1 (range, 15.0 to 100), and there were significant improvements (p<0.001) in ASES (63.7 to 85.1), SST (6.2 to 9.1), and VAS pain scores (2.89 to 0.81). Recurrent instability occurred in 12 of 63 shoulders (19%); the number of prior surgeries and baseline hyperlaxity were significant risk factors for failure (p<0.001 and p=0.04, respectively). No patients developed clinical or radiographic evidence of arthritis. A total of 28 shoulders in 28 patients (21 male, 7 female) with an average age of 27.5 years (range 14 to 45) were included in the Latarjet group. Thirteen (46%) had more than one previous stabilization attempt. ), the average WOSI score was 71.9, and there were significant improvements (p<0.001) in ASES (65.7 to 87.0), SST (7.2 to 10.3), and VAS (3.1 to 1.1). Recurrent instability occurred in 2 of 28 shoulders (7%), including 1 patient with symptomatic subluxation and 1 patient with a recurrent dislocation resulting in rapid arthrosis requiring revision to hemiarthroplasty at 20 months after Latarjet. Conclusion: Both arthroscopic revision stabilization and Latarjet coracoid transfer result in satisfactory outcomes in patients who have failed previous arthroscopic capsulolabral repair. Recurrent instability rates were higher in the all-arthroscopic group (19% versus 7%). Longer-term studies are required to determine whether similar results are maintained over time, and to provide guidance on focused clinical indications for this challenging patient population.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.398
Teacher spread0.334 · 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 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

Citations3
Published2015
Admission routes1
Has abstractyes

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