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Record W2161208578 · doi:10.1177/0363546513477363

A Prospective Analysis of 179 Type 2 Superior Labrum Anterior and Posterior Repairs

2013· article· en· W2161208578 on OpenAlexaboutno aff
Matthew T. Provencher, Frank McCormick, Christopher B. Dewing, Sean McIntire, Daniel J. Solomon

Bibliographic record

VenueThe American Journal of Sports Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLabrumBicepsSurgeryProspective cohort studyElbowTenotomyRotator cuffPopulationTearsArthroscopyTendon

Abstract

fetched live from OpenAlex

BACKGROUND: There is a paucity of type 2 superior labrum anterior and posterior (SLAP) surgical outcomes with prospective data. PURPOSE: To prospectively analyze the clinical outcomes of the arthroscopic treatment of type 2 SLAP tears in a young, active patient population, and to determine factors associated with treatment success and failure. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: Over a 4-year period, 225 patients with a type 2 SLAP tear were prospectively enrolled. Two sports/shoulder-fellowship-trained orthopaedic surgeons performed repairs with suture anchors and a vertical suture construct. Patients were excluded if they underwent any additional repairs, including rotator cuff repair, labrum repair outside of the SLAP region, biceps tenodesis or tenotomy, or distal clavicle excision. Dependent variables were preoperative and postoperative assessments with the American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), and Western Ontario Shoulder Instability (WOSI) scores and independent physical examinations. A failure analysis was conducted to determine factors associated with failure: age, mechanism of injury, preoperative outcome scores, and smoking. Failure was defined as revision surgery, mean ASES score below 70, or an inability to return to sports and work duties, which was assessed statistically with the Student t test and stepwise logarithmic regression. RESULTS: There were 179 of 225 patients who completed the follow-up for the study (80%) at a mean of 40.4 months (range, 26-62 months). The mean preoperative scores (WOSI, 54%; SANE, 50%; ASES, 65) improved postoperatively (WOSI, 82%; SANE, 85%; ASES, 88) (P < .01). The mean postoperative range of motion was 159° of flexion, 151° of abduction, and 51° of external rotation at the side, which was less than the mean preoperative range of motion (164° of flexion, 166° of abduction, and 56° of external rotation at the side). Of the 179 patients, 66 patients (36.8%) met failure criteria. Fifty patients elected revision surgery. Advanced age within the cohort (>36 years) was the only factor associated with a statistically significant increase in the incidence of failure. Those who were deemed failed had a mean age of 39.2 years (range, 29-45 years) versus those who were deemed healed with a mean age of 29.7 years (range, 18-36 years) (P < .001). The relative risk for failure for patients older than 36 years was 3.45 (95% CI, 2.0-4.9). CONCLUSION: Arthroscopic SLAP repair provides a clinical and statistically significant improvement in shoulder outcomes. However, a reliable return to the previous activity level is limited; 37% of patients had failure, with a 28% revision rate. Age greater than 36 years was associated with a higher chance of failure. Additional work is necessary to determine the optimal diagnosis, indications, and surgical management for those with SLAP injuries.

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)0.003
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.316
Teacher spread0.309 · 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

Citations209
Published2013
Admission routes1
Has abstractyes

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