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Record W2922162898 · doi:10.1177/2325967119829486

Return to Play and Performance Perceptions of Baseball Players After Isolated SLAP Tear Repair

2019· article· en· W2922162898 on OpenAlexaboutno aff
Lonnie Douglas, John Whitaker, John Nyland, Patrick A. Smith, Filippo Chillemi, Roger V. Ostrander, James Andrews

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTearsPhysical therapyReturn to sportAthletesSurgery

Abstract

fetched live from OpenAlex

Background: Variable return-to-play (RTP) rates have been reported after surgical repair of superior labral anterior-posterior (SLAP) tears in baseball players. Many studies, however, have not controlled for concomitant shoulder injuries. Purpose/Hypothesis: The purpose of this study was to evaluate rates of RTP and return to previous or higher performance level (RTPP) and long-term outcomes after isolated SLAP tear repair. The hypothesis was that improved outcomes would be identified compared with previous reports. Study Design: Case series; Level of evidence, 4. Methods: The records of 232 players who underwent isolated SLAP tear repair from 2004 to 2014 were reviewed. A total of 98 players who were at least 12 months out from surgery were identified. Through telephone interviews, participants completed the Western Ontario Shoulder Instability Index (WOSI) and Veterans RAND 12-Item Health Survey (VR-12) and answered scripted questions about RTP, RTPP, and current symptoms. Results: Of the 98 players who met the inclusion criteria, 73 (74.5%) participated. The mean age at the time of surgery was 19.8 ± 2.9 years. The mean follow-up time was 86.2 ± 25.1 months overall; it was 84.4 ± 24.4 months for pitchers and 90.3 ± 26.7 months for other position players, ( P = .40). There were 10 professional, 36 collegiate, and 27 high school players. Most players perceived successful RTP (83.6%), including 80.0% of pitchers and 91.3% of other position players ( P = .23). However, RTPP rates were lower, at 52.3% (n = 26) and 78.3% (n = 18) for pitchers and other position players, respectively ( P = .03). Pitchers were younger at the time of surgery (19.3 ± 3.0 vs 20.8 ± 3.0 years, respectively; P = .03) and had greater perceived shoulder and general health impairments compared with other position players ( P ≤ .02). Players who perceived successful RTPP had better WOSI of the healthy shoulder and individual physical, sports, lifestyle, and emotion scores compared with players who did not perceive successful RTPP. Conclusion: After the surgical repair of isolated type II or greater SLAP tears, other position players displayed superior RTP (91.3% vs 80.0%, respectively) and RTPP (78.3% vs 52.3%, respectively) rates than pitchers. Long-term follow-up suggests that pitchers may perceive greater long-term impairments than other position players and are less likely to return to their previous or higher performance level.

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)0.005
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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.258
Teacher spread0.250 · 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

Citations20
Published2019
Admission routes1
Has abstractyes

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