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Record W4411195389 · doi:10.1177/23259671251343646

Outcomes After Arthroscopic Posterior Labral Repair With All-Suture Anchors in Football Players

2025· article· en· W4411195389 on OpenAlexaboutno aff
Daniel Smigielski, Matthew P. Ithurburn, Tomas F. Vega, Alexander E. Loeb, Sai Subhodhini Reddy, Anna E. Crawford, Ariel Kidwell-Chandler, Cristian Arceo, Ryan Froom, Andrew Atkinson, Marcus A. Rothermich, Benton A. Emblom, Jeffrey R. Dugas, E. Lyle Cain

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFootballElbowAthletesSurgeryPosterior shoulderPhysical therapy

Abstract

fetched live from OpenAlex

Background: Posterior glenoid labral injuries are more common in football players than in the general population. Arthroscopic repair with all-suture anchors has proven to be an effective technique to address other abnormalities, allowing for low-profile constructs that minimize damage to surrounding tissue. Few studies have examined the outcomes of posterior labral repair with all-suture anchors in football players. Hypothesis: It was hypothesized that after labral repair with all-suture anchors, functional outcomes would improve, revision rates would be low, return-to-sport rates would be high, and clinical outcomes would be comparable with those seen after arthroscopic repair performed with traditional solid anchors among football players. Study Design: Case series; Level of evidence, 4. Methods: The authors identified patients in the institution's ongoing data repository who were football players when they underwent arthroscopic posterior glenoid labral repair using all-suture anchors. The authors collected baseline (preoperative) and follow-up demographic, clinical, surgical, and functional outcome data, with a minimum follow-up time of 2 years. Patient-reported outcome measures included the American Shoulder and Elbow Surgeons (ASES) score and the Western Ontario Shoulder Instability Index (WOSI). Results: The authors identified 52 male football athletes (mean age at surgery, 18.5 years) with both baseline and follow-up data (mean follow-up time, 3.8 years), with all competing at either the high school (n = 41 [79%]) or collegiate (n = 11 [21%]) level. Mean outcome scores improved significantly from baseline to follow-up for both the ASES score (baseline: 63.2; follow-up: 97.1) and the WOSI (baseline: 48.1; follow-up: 94.0). Overall, 37 of 52 (71%) returned to football at their preinjury level after surgery. However, only 38 of 52 athletes attempted to return to sport. Among athletes who attempted to return to sport, 97% (37/38) were able to return. There were no significant differences in follow-up ASES or WOSI scores between high school and collegiate athletes, between blocking and nonblocking positions, or between isolated posterior labral repair and combined labral repair. Conclusion: The results demonstrated excellent outcomes, including large and significant improvements in ASES and WOSI scores, in football players. While 29% did not return to football, 97% of those who attempted to return to play did so at their preinjury level. This study shows encouraging results for the use of all-suture anchors for posterior labral repair in this population of athletes.

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)0.004
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.294
Teacher spread0.285 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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