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Arthroscopic Repair of Acute Bony Bankart Lesions: An Analysis of Risk Factors for Instability Recurrence

2020· article· en· W3116082430 on OpenAlexaboutno aff
Jose Mar韆 Silberberg Mui駉, Alessandro Nilo Fulvi

Bibliographic record

VenueInternational Journal of Orthopaedics · 2020
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBankart lesionBankart repairRadiological weaponSurgeryReduction (mathematics)Range of motionAnterior shoulderArthroscopy

Abstract

fetched live from OpenAlex

Purpose. To determine clinical and radiological outcomes of patients with acute bony Bankart lesions treated via the arthroscopic approach and evaluate the hypothesis that instability recurrence is associated with fragment reduction quality and/or glenoid defect. Material and Methods . Between 2008 to 2013, 27 patients (mean age 24.3 years) were examined before, and (on average) 29 months after, arthroscopic repair. Inclusion criteria were acute bony Bankart lesions, glenoid osseous defects of less than 20%, and postoperative follow-up period of at least 24 months. Functional recovery was assessed using the Rowe, Western Ontario Shoulder Instability Index (WOSI), and UCLA shoulder rating scales. Computed tomography scans were used to evaluate reduction and healing of bony fragments. Cases of instability recurrence were documented. Results. Postoperative mean Rowe score was 90.4 points (range, 35 to 100 points), the mean WOSI was 282.0 (range, 25-1100 points), and the mean UCLA was 28.5 points (range, 15 to 35 points). The recurrence rate of shoulder instability was 7.4% (2/27), which only occurred in cases of fragment malposition. The average loss of external rotation was 5º at 0º of abduction, and 7º at 90º of abduction. Twenty three patients (85.19%) returned to preinjury sport level. Radiological assessment revealed complete union of the bony fragment in all cases. Conclusion . Arthroscopic reduction and suture anchor fixation of acute bony Bankart lesions yield excellent outcomes providing a low recurrence instability and high bone union rates. In addition, non-anatomical reduction of the bony fragment is a reliable risk factor for instability recurrence in acute cases.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.015
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.050
GPT teacher head0.370
Teacher spread0.319 · 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.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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