Low prevalence of moderate to severe osteoarthritis at long‐term follow‐up after combined anterior cruciate ligament reconstruction and lateral extra‐articular procedures: A systematic review and meta‐analysis
Bibliographic record
Abstract
PURPOSE: To determine the long-term risk of osteoarthritis following combined anterior cruciate ligament reconstruction (ACLR) and lateral extra-articular procedures (LEAP). METHODS: A comprehensive search of multiple databases (EMBASE, OVID Medline, PubMed, Cochrane, and Scopus) was independently conducted by two reviewers according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies reporting on the rates of osteoarthritis following primary, arthroscopic ACLR combined with LEAP and a minimum 5-year follow-up were eligible for inclusion. The primary outcome was the prevalence of moderate to severe radiographic arthritis defined as International Knee Documentation Committee (IKDC) grades C or D, Ahlback grades 1-5, or Kellgren-Lawrence grades 3 or 4. A comparative meta-analysis of ACLR with and without LEAP was also performed. RESULTS: A total of eight studies were included, comprising 849 patients who underwent ACLR with LEAP, and 164 who underwent isolated ACLR. Cumulative meta-analysis showed a 4% prevalence of moderate to severe osteoarthritis across all studies after ACLR with LEAP. Subgroup analysis demonstrated a prevalence of 3% in the 5-to-10-year follow-up group and 6% in the 10+ year follow-up group. In the three comparative cohort studies, meta-analysis revealed no statistically significant difference in moderate to severe osteoarthritis rates between ACLR with LEAP and ACLR alone. CONCLUSION: This study demonstrates that long-term prevalence of moderate to severe osteoarthritis following combined ACLR with LEAP is low, and that the addition of LEAP does not increase the incidence compared to ACLR alone. These findings support the use of LEAP in selected patients, without concern for increased long-term joint degeneration. LEVEL OF EVIDENCE: Level III, meta-analysis and systematic review.
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.038 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".