COMPARATIVE OUTCOMES OF THE LATARJET PROCEDURE AND ARTHROSCOPIC BANKART REPAIR: A SYSTEMATIC REVIEW AND META-ANALYSIS OF RECURRENCE RATES AND CLINICAL SCORES
Bibliographic record
Abstract
Background: Recurrent shoulder instability can present a significant challenge in orthopedic surgery, affecting patients' quality of life. Arthroscopic Bankart repair (ABR) and the Latarjet procedure are two widely utilized surgical techniques for stabilization, each with distinct advantages and limitations. However, the debate regarding the standard intervention in anterior shoulder dislocation still remains. Aim: We conducted this systematic review and meta-analysis to compare the clinical and functional outcomes of ABR vs. arthroscopic Latarjet (AL) and open Latarjet (OL). Methods: We conducted a systematic search through PubMed, Cochrane, Scopus, and Web of Science databases until January 2025, including all the studies that compare ABR vs. the Latarjet procedure (OL or AL). We conducted a meta-analysis using the Review Manager software for statistical analysis. We used risk ratio (RR) and its 95% confidence interval (CI) to compare the dichotomous outcomes while using mean difference (MD) for continuous outcomes, applying the random effect model. Results: Twenty studies met our predefined strict criteria and were included in the meta-analysis. This study demonstrated that the Latarjet procedure (OL and AL) significantly reduced recurrence rates compared to ABR (RR = 2.84, 95% CI: 1.74–4.62, P < 0.0001). Subgroup analyses highlighted consistent findings favoring the Latarjet procedure in non-athletes (RR = 3.14) and adolescents (RR = 7.79). However, the advantage was not statistically significant among athletes (RR = 2.42, P = 0.1). Additionally, the Latarjet procedure had a lower risk of revision surgeries (RR = 3.9, 95% CI: 1.74– 8.72, P = 0.0009), particularly in non-athletes and younger populations. While the Rowe score favored Latarjet significantly (MD = -4.51, P = 0.001), the ASES and SSV scores showed no statistical difference between the two procedures. Conclusion: The Latarjet procedure demonstrates superiority over Bankart repair in reducing recurrence rates and revision surgeries, particularly in nonathletes, adolescents, and adults. These findings suggest that the Latarjet procedure may be the preferred surgical intervention for instability in these populations. However, high heterogeneity across studies, especially in clinical scores like ASES and SSV, underscores the need for further research to confirm these outcomes and address variability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.038 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".