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Record W4390506796 · doi:10.1177/03635465231209986

Outcomes of Arthroscopic Latarjet as a Revision Surgery After Failed Arthroscopic Bankart Repair

2024· article· en· W4390506796 on OpenAlexaboutno aff
Emílio Calvo, Lika Dzidzishvili, Claudio Calvo

Bibliographic record

VenueThe American Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurgeryLatarjet procedureBankart repairAnterior shoulderRetrospective cohort studyArthroscopy

Abstract

fetched live from OpenAlex

Background: The role of arthroscopic Latarjet as a revision surgery after failed arthroscopic Bankart repair has yet to be established. Purpose: To compare clinical outcomes, recurrences, and complication rates of arthroscopic Latarjet as a revision procedure after failed arthroscopic Bankart repair versus arthroscopic Latarjet as a primary procedure. Design: Cohort study; Level of evidence, 3. Methods: This is a retrospective study of prospectively collected data of patients who were diagnosed with anterior shoulder instability and underwent arthroscopic Latarjet stabilization between 2009 and 2018. Patients were separated into 2 groups depending on whether Latarjet was performed after a previous instability surgery (revision) or as a primary surgery (primary). Rowe score, Western Ontario Shoulder Instability Index (WOSI), Constant-Murley Shoulder Outcome (CMSO) score, and Single Assessment Numeric Evaluation (SANE) were assessed pre- and postoperatively with a minimum 24 months of follow-up. In addition, pre- and postoperative levels of sports activity, dislocations, subluxations, and complications were assessed. Results: A total of 97 patients (n = 62 revision; n = 35 primary), with a mean age of 31.0 ± 8.8 and 29.4 ± 7.6 years old in the revision and primary Latajet group, respectively, met the inclusion criteria. The mean follow-up in the revision group was 32 months (24-53) and 35.5 months (27.7-42.2) in the primary Latarjet group. No significant differences between groups were observed in Rowe score (revision = 91.4, primary = 94.1; P = .223), CMSO score (revision = 90.7, primary = 94; P = .105), and SANE (revision = 85.8, primary = 87.3; P = .683) postoperatively. However, the postoperative difference in the WOSI score between the revision and primary Latarjet groups was nearly significant (510 ± 334 vs 403 ± 343, respectively; P = .05). Four (6.4%) postoperative dislocations were reported in the revision and 1 (2.8%) in the primary Latarjet group ( P = .14). Patients in the revision group had a lower return to the previous level of sports participation ( P = .008) and decreased external rotation with the arm by the side compared with the primary Latarjet group ( P = .000). Conclusion: Arthroscopic Latarjet as a revision surgery is a reasonable surgical option in failed Bankart repair cases. The decision to perform arthroscopic Latarjet stabilization as a revision surgery should not be influenced by the potential risk of future complications as it provides comparable clinical outcomes to the primary Latarjet procedure with a low postoperative recurrence rate. However, a decreased level of postoperative sports participation and external rotation with the arm by the side can be expected.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.016
GPT teacher head0.324
Teacher spread0.309 · 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

Citations9
Published2024
Admission routes1
Has abstractyes

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