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Record W4390861681 · doi:10.1016/j.asmr.2023.100864

Patients Have a 15% Redislocation Rate After Arthroscopic Bankart Repair With a Knotless Technique

2024· article· en· W4390861681 on OpenAlexaboutno aff
Emma Abrahams Nattfogel, Mats C. Ranebo

Bibliographic record

VenueArthroscopy Sports Medicine and Rehabilitation · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineShouldersHazard ratioSurgeryConfidence intervalInternal medicine

Abstract

fetched live from OpenAlex

Purpose To evaluate the redislocation rate after arthroscopic Bankart repair (ABR) with a standardized knotless anchor technique in a consecutive series of patients with anterior glenohumeral instability. Methods Inclusion criteria were patients who underwent ABR by a single surgeon between January 2008 and December 2018 with a minimum follow up of 2 years. We collected data through phone interviews, Western Ontario Shoulder Instability Index, and review of patient records. The primary outcome was redislocation and secondary outcomes were recurrent subluxations, reoperation, postoperative complications, patient satisfaction, and functional outcomes. We also performed survival analysis and risk factor analysis. Results Of 88 patients (91 shoulders) who underwent ABR during the inclusion period, 70 patients (73 shoulders) were included (follow‐up rate 80%). The mean follow‐up was 7.5 years (range 2‐12 years). Redislocation occurred in 15% (95% confidence interval [CI] 7.8%‐25.4%) of patients at a mean of 41 months after surgery (range 6‐115 months). The reoperation rate for recurrent redislocation was 4.1%. Overall, 90.4% reported being currently satisfied with their shoulder and the mean Western Ontario Shoulder Instability Index score at follow‐up was 73.8% (range 8.3%‐99.9%). Patients with redislocation were younger at primary operation than patients with no redislocation (mean 21 years vs 28 years; P = .023) and adjusted hazard ratio for age was 0.86 (95% CI 0.74‐0.99; P = .033). It was more common to have less than 3 anchors in patients with redislocation ( P = .024), but adjusted hazard ratio was 4.42 (95% CI 0.93‐21.02; P = .061). Conclusions The redislocation rate after ABR with a standardized knotless anchor technique in a consecutive series of patients with anterior glenohumeral instability was found to be 15% after a minimum 2‐year follow‐up (mean 7.5). Level of Evidence Level IV, therapeutic case‐series.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.289
Teacher spread0.282 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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