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Record W4415439024 · doi:10.1302/1358-992x.2025.10.067

ARTHROSCOPIC INFERIOR TO SUPERIOR CAPSULAR SHIFT RESULTS IN SUPERIOR CLINICAL OUTCOMES COMPARED TO TRADITIONAL ARTHROSCOPIC BANKART REPAIR FOR THE TREATMENT OF ANTERIOR CAPSULOLABRAL TEARS AFTER SHOULDER DISLOCATION

2025· article· en· W4415439024 on OpenAlexaboutno aff
J. Castillo de la Pena, Ivan Wong

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBankart lesionAnterior shoulderAnterior shoulder dislocationArthroscopyTearsBankart repairConcomitant

Abstract

fetched live from OpenAlex

In the setting of anterior shoulder instability, both boney and soft tissue structures are at risk of injury. Often, there is an injury to the anterior capsulolabral complex. This pathology is most often treated with a traditional arthroscopic Bankart repair. The open Bankart is regaining popularity as some surgeons report a lower re-dislocation rate as compared to its arthroscopic counterpart. Some believe that a better capsular shift is achieved with open surgery. We recently developed a technique for performing this capsular shift arthroscopically. The purpose of this study is to analyze and compare clinical outcomes of patients with traumatic anterior shoulder instability treated with two different arthroscopic techniques, arthroscopic capsular shift and arthroscopic Bankart repair (Figure 1). The primary objective of this study is to analyze and compare clinical outcomes, Western Ontario Shoulder Instability (WOSI) scores, complication, and re-dislocation rates. We hypothesize that patients treated with arthroscopic capsular shift will have similar clinical outcomes and a lower failure rate at one year compared with the other surgical cohort. This study included patients who underwent arthroscopic soft-tissue stabilization surgery for shoulder instability between 2012–2021. Patients were included if they had an isolated primary soft-tissue repair performed arthroscopically with one of the above-mentioned surgical techniques. Patients were excluded if they had concomitant glenoid fractures, less than one year of clinical follow-up, posterior instability, multidirectional instability, and presence of HAGL lesions Demographic information, WOSI scores, pre-operative glenoid and humeral head dimensions, and new dislocation events were recorded. Sixty-three patients met the inclusion and exclusion criteria. There were 27 patients in the Bankart repair group and 36 in the capsular shift group. The two groups had similar demographics and baseline characteristics, except for the length of clinical follow-up (which is due to the capsular shift technique being developed more recently) (p<0.001) (Table 1). Both groups had similar pre-operative glenoid AP and Hill-Sachs depth measurements (p=0.358 and 0.329, respectively) (Table 1). Patient-reported outcomes were similar at baseline (p=0.602) and post-operatively (p=0.621). Both groups showed improvements in WOSI post-operatively (p<0.001), however more patients met MCID in the capsular shift group as compared to the Bankart repair group (93% vs 75%, respectively). In terms of clinical outcomes, patients who received a capsular shift had a lower rate of re-dislocation as compared to the Bankart group (6% vs 22%). The arthroscopic capsular shift technique results in better post-operative clinical outcomes as compared to arthroscopic Bankart repair with a lower recurrence rate, lower rate of post-operative apprehension, and an increased proportion of patients who meet MCID for WOSI. This technique could be a better alternative for Bankart repair in patients with soft-tissue pathologies following anterior shoulder dislocations, however longer-term studies are necessary to determine the longevity of these outcomes. For any figures or tables, please contact the authors directly.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.358
Teacher spread0.314 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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