Single‐Bundle Versus Double‐Bundle Reconstruction for Anterior Cruciate Ligament Rupture: A Meta‐Analysis—Does Anatomy Matter?
Bibliographic record
Abstract
PURPOSE: To determine whether double-bundle anterior cruciate ligament reconstruction leads to better restoration of anterior and rotational laxity and range of motion than single-bundle reconstruction. METHODS: A search was performed in the Medline, Embase, CINAHL, and Cochrane databases. All randomized, quasi-randomized, and observational clinical trials that reported the outcome of double- versus single-bundle anterior cruciate ligament reconstruction were included in our meta-analysis. The primary outcomes were anterior laxity (KT arthrometer; MEDmetric, San Diego, CA), pivot shift, and range of motion. Subgroup analyses were performed for more than 2 years' follow-up, anatomic reconstruction, and nonanatomic reconstruction. The quality of the included studies was scored by use of the GRADE Checklist. RESULTS: Included 12 studies in this meta-analysis, 5 of which were randomized. There was a statistically significant difference in favor of double-bundle reconstruction for anterior laxity (KT arthrometer difference, -0.6 mm), Lachman test (64% risk reduction of positive Lachman), and pivot-shift test (69% risk reduction of positive shift). Similar results were found for the subgroup with more than 2 years' follow-up and anatomic reconstructions. There were no significant differences for the subgroup with nonanatomic reconstructions, except a 2.6 times risk increase of extension deficit with nonanatomic double-bundle reconstruction compared with nonanatomic single-bundle reconstruction. Most of the included studies were found to have at least one serious limitation in study design. CONCLUSIONS: In comparison with single-bundle reconstruction, double-bundle reconstruction showed less anterior laxity, as measured by the KT arthrometer and Lachman test, and better rotational laxity, as measured by the pivot-shift test. The majority of the included studies had at least one major limitation in study design that decreased the quality of the study. LEVEL OF EVIDENCE: Level I, meta-analysis.
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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 | 0.017 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.049 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".