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Record W3209399574 · doi:10.1177/2325967121s00348

Long Term Outcomes of Anterior Shoulder Instability in Throwers and Overhead Athletes at a Mean Follow-up of 15 years (240)

2021· article· en· W3209399574 on OpenAlexaboutno aff
Matthew D. Shirley, Richard F. Nauert, Ryan R. Wilbur, Matthew D. LaPrade, Christopher D. Bernard, Bryant M. Song, Devin P. Leland, Aaron J. Krych, Christopher L. Camp

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAthletesPhysical therapyPopulationCohortInternal medicine

Abstract

fetched live from OpenAlex

Objectives: There is a paucity of literature regarding outcomes of anterior shoulder instability (ASI) in throwers and overhead athletes (OHA). The purpose of this study was to report the pathology, treatment strategies, and outcomes of ASI in throwers and overhead athletes utilizing an established US geographic population-based cohort. Methods: An established geographic database of more than 500,000 patients was used to identify athletes <40 years of age with ASI between 1994 and 2016. Medical records were reviewed to obtain demographics, type of sport, surgical details, and clinical outcomes. Patients were contacted after final clinical follow-up for patient reported outcomes (PRO). The Western Ontario Shoulder Instability (WOSI) score, return to sport at previous level of performance (RPP), rate of return to play (RTP) and time to RTP were recorded. Statistical analysis was performed comparing throwers to non-throwers and OHA to non-overhead athletes (NOHA). Results: The study population consisted of 171 patients, 114 NOHA and 57 OHA. Of the OHA, 40 were throwers. The mean follow-up was 14.7 ± 5.6 years for PRO’s and 11.7 ± 7.3 years for last clinical evaluation. No difference in overall instability events was seen in either group. Throwers were more likely to present with subluxations while non-throwers were more likely to present with frank dislocations. NOHA and non-throwers were more likely than OHA and throwers to have a history of trauma related to ASI, respectively ( P = <.001, P = .002). Throwers were more likely to undergo an open surgical procedure (45%) than non-throwers (15%) ( P = .038). The rate of recurrent instability between groups was similar. Throwers returned to sport at a lower rate than non-throwers, however this did not reach significance (64% vs 83%, P = .100). Throwers and OHA reported similar WOSI scores, RPP and time to RTP grouped by surgical or conservative management compared to non-throwers and NOHA, respectively. Conclusions: In a US cohort of patients, throwers and OHA had a similar number of instability events compared to non-throwers and NOHA, respectively. Non-throwers and NOHA were more likely to present with frank dislocation which is supported by the significantly higher rates of trauma in both groups. Notably, the WOSI score, RPP, rate of RTP and time to RTP showed no difference between throwers and OHA when compared to their non-throwing and NOHA counterparts.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.025
GPT teacher head0.311
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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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