Isolated Primary Latarjet Procedures for Anterior Shoulder Instability Results in High Rates of Graft Resorption and Glenohumeral Degenerative Changes With Low Rates of Failure at a Minimum 2‐Year Follow‐Up: A Systematic Review
Bibliographic record
Abstract
PURPOSE: To evaluate the incidence of postoperative complications after an isolated primary Latarjet procedure for anterior shoulder instability at a minimum 2-year follow-up. METHODS: A systematic review was performed in accordance with 2020 PRISMA guidelines. EMBASE, Scopus, and PubMed databases were queried from database inception through September 2022. The literature search was limited to human clinical studies reporting on postoperative complications and adverse events after a primary Latarjet procedure with a minimum 2-year follow-up. Risk of bias was measured using the Newcastle-Ottawa Scale. RESULTS: Twenty-two studies, consisting of 1,797 patients (n = 1,816 shoulders), with a mean age of 24 years were identified. The overall postoperative complication rate ranged from 0% to 25.7%, with the most common complication being persistent shoulder pain (range: 0%-25.7%). Radiological changes included graft resorption (range: 7.5%-100%) and glenohumeral degenerative changes (range: 0%-52.5%). Recurrent instability following surgery was documented in 0% to 35% of shoulders, while the incidence of bone block fractures ranged from 0% to 6% of cases. Postoperative nonunion, infection, and hematomas had a reported incidence rate ranging from 0% to 16.7%, 0% to 2.6%, and 0% to 4.4%, respectively. Overall, 0% to 7.5% of surgeries were reported failures, and 0% to 11.1% of shoulders required reoperation, with a revision rate ranging from 0% to 7.7%. CONCLUSIONS: The incidence of complications following the primary Latarjet procedure for shoulder instability was variable, ranging from 0% to 25.7%. High rates of graft resorption, degenerative changes, and nonunion were present while failure and revision rates remained low at a minimum 2-year follow-up. LEVEL OF EVIDENCE: Level III, systematic review of Level I-III studies.
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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 | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".