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Record W4407207878 · doi:10.1177/23259671251316893

Management of First-Time Anterior Shoulder Dislocation—A Systematic Review and Meta-analysis: Arthroscopy Association of Canada Position Statement

2025· review· en· W4407207878 on OpenAlexaffabout
Hassaan Abdel Khalik, Danielle Dagher, Darius L. Lameire, Eva M. Gusnowski, Michaela Kopka, Marie‐Eve LeBel, Bogdan A. Matache, R. Kyle Martin, Mark Sommerfeldt, Ivan Wong, Jarret M. Woodmass, Moin Khan

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsNova Scotia Health AuthorityUniversity of AlbertaUniversité LavalWestern UniversityUniversity of ManitobaBanff CentreSaint John Regional HospitalUniversity of TorontoMcMaster University
FundersJRF OrthoArthrex
KeywordsMedicineShouldersOdds ratioSubluxationBankart lesionMeta-analysisAnterior shoulderPhysical therapyArthroscopyShoulder jointBankart repairMEDLINESurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: While surgical stabilization is typically recommended for patients with recurrent shoulder instability, the management of first-time shoulder dislocation (FTSD) presents a unique challenge for health care providers. Purpose: To assess the efficacy of arthroscopic Bankart repair (ABR) compared with nonoperative management for FTSDs. Study Design: Review. Methods: MEDLINE, EMBASE, and CENTRAL were searched from inception to December 26, 2023, for comparative studies assessing ABR versus nonoperative management of FTSDs. Outcomes of interest included rates of shoulder redislocation, cumulative shoulder instability (redislocation, subluxation, and/or subjective instability), subsequent shoulder stabilization surgery, return-to-sport rates, and patient-reported outcomes (Western Ontario Shoulder Instability [WOSI] score and Rowe score). Meta-analyses were performed on outcomes reported across a minimum of 3 comparative studies. Results: Eleven comparative studies with 694 patients (695 shoulders) were included in the final analysis. Patient demographics were comparable across arthroscopic stabilization (367 shoulders) and nonoperative management (328 shoulders) groups with a mean age of 21.6 ± 2.5 years across all studies, and 13.7% ± 13.6% of patients being female. The mean follow-up across all studies was 54.2 ± 28.5 months, with a mean loss to follow-up of 8.1% ± 10.3%. Meta-analyses demonstrated a reduction in the odds of cumulative instability in favor of the ABR group (odds ratio [OR], 0.04 [95% CI, 0.02 to 0.08]; P < .01), as well as reductions in the odds of shoulder redislocation (OR, 0.06 [95% CI, 0.02 to 0.17]; P < .01) and subsequent stabilization surgery (OR, 0.07 [95% CI, 0.03 to 0.14]; P < .01) in favor of ABR. Compared with the nonoperative group, patients in the ABR group were 3.87 times more likely to return to sport at the preoperative or higher level (OR, 3.87 [95% CI, 1.57 to 9.52]; P < .01). No differences were found across postoperative WOSI scores (mean difference, 8.08 [95% CI, –1.54 to 17.69]; P = .10). Subgroup analyses demonstrated similar outcomes between randomized controlled trials and observational studies. Conclusion: Early ABR of first-time anterior shoulder dislocations consistently demonstrated decreased subsequent rates of cumulative instability events, shoulder redislocations, and revision surgeries relative to nonoperative management.

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)0.011
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.034
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.021
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.333
Teacher spread0.311 · 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 designMeta-analysis
Domainnot available
GenreReview

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 routes2
Has abstractyes

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