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Record W2107903738 · doi:10.1177/0363546513520122

The Efficacy of Biceps Tenodesis in the Treatment of Failed Superior Labral Anterior Posterior Repairs

2014· article· en· W2107903738 on OpenAlexaboutno aff
Frank McCormick, Benedict U. Nwachukwu, Dan Solomon, Christopher B. Dewing, Petar Golijanin, Daniel Gross, Matthew T. Provencher

Bibliographic record

VenueThe American Journal of Sports Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBicepsSurgeryTearsRotator cuffConcomitantAnterior shoulderArthroscopyElbow

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence and arthroscopic treatment of superior labral anterior posterior (SLAP) tears have increased over the past decade. Recent evidence has identified factors associated with poor outcomes, including age, overhead activity, and concomitant rotator cuff tears. Biceps tenodesis has also been suggested as an alternative treatment to repair. Moreover, there are no studies demonstrating effective treatment strategies for failed type II SLAP repairs. PURPOSE: To prospectively evaluate the surgical outcomes of biceps tenodesis for patients who undergo elected revision surgery after an arthroscopically repaired type II SLAP tear. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: After institutional review board approval, 46 patients who met failure criteria for an arthroscopically repaired type II SLAP tear elected to undergo open subpectoral tenodesis by 2 fellowship-trained surgeons from 2006 to 2010 at a tertiary care military treatment facility. Objective outcomes were preoperative and postoperative assessments with the American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), and Western Ontario Shoulder Instability Index (WOSI) scores and an independent physical examination. Statistical analysis was performed via analysis of variance. RESULTS: Of the 46 patients, 42 completed the study (91% follow-up rate). The mean age of the patients was 39.2 years, 85% were male, and the mean follow-up period was 3.5 years (range, 2.0-6.0 years). The rate of return to active duty and sports was 81%. There was a clinically and statistically significant improvement across all outcome assessments after revision surgery (preoperative mean scores: ASES = 68, SANE = 64, WOSI = 65; postoperative mean scores: ASES = 89, SANE = 84, WOSI = 81) (P < .0001) and shoulder range of motion (preoperative mean values: forward flexion = 135°, abduction = 125°; postoperative mean values: forward flexion = 155°, abduction = 155°) (P < .0001). There was 1 case of transient musculocutaneous nerve neurapraxia. CONCLUSION: Biceps tenodesis is a predictable, safe, and effective treatment for failed arthroscopic SLAP tears at a minimum 2-year follow-up. The majority of patients obtained good to excellent outcomes using validated measures with a significant improvement in range of motion.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.300
Teacher spread0.286 · 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

Citations88
Published2014
Admission routes1
Has abstractyes

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