Cochrane in CORR ®: Double-bundle Versus Single-bundle Reconstruction for Anterior Cruciate Ligament Rupture in Adults (Review)
Bibliographic record
Abstract
Importance of the Topic Anterior cruciate ligament (ACL) injuries most commonly occur in young, active patients, with an annual incidence of more than 200,000 in the United States alone [8, 11, 13]. Approximately 65% of these patients undergo ACL reconstruction, but there is ongoing debate about the most appropriate techniques [6]. Earlier studies have explored the importance of tunnel placement, graft selection, graft fixation, and rehabilitation protocols, but recent attention has focused on the role of double-bundle reconstruction [2]. The native ACL consists of two discrete anteromedial and posterolateral bundles, which respectively account for translational and rotational stability [9, 10, 13]. Double-bundle ACL reconstruction involves reconstructing each of these bundles separately and is purported to more closely restore native knee anatomy and biomechanics. However, double-bundle ACL reconstructions are more technically demanding than conventional single-bundle techniques, they require greater operative time, and are more difficult to revise when they fail [10]. Multiple randomized controlled trials have been recently performed to evaluate whether double-bundle ACL reconstruction is superior to single-bundle reconstruction. In this meta-analysis of seventeen randomized and quasi-randomized trials (n = 1433), there were no differences between the two techniques for functional outcomes at long-term followup (5 years) or for total adverse events. However, the double-bundle technique resulted in superior knee stability and higher rates of return to preinjury levels of activity, and it was associated with a lower rate of new meniscal tears and repeat ACL injuries [13]. Upon Closer Inspection Methodological flaws in each of the included trials limit the results of this meta-analysis. Only four of the randomized controlled trials reported satisfactory methods of randomization, and none reported appropriate methods for allocation concealment. Allocation concealment means that the intervention to which each patient will be assigned remains unknown prior to enrollment [3], and it serves to protect the randomization process and prevent selection bias. It can sometimes be achieved through the use of sequentially numbered and sealed opaque envelopes, but the best method is to use a centralized independent randomization system such as a call-in center or a web-based program. In randomized controlled trials of surgical therapies, disparities in the expertise with which the competing interventions are performed can lead to “differential expertise bias” [12]. In this meta-analysis, an imbalance in skill level could have led to an underestimation of double-bundle ACL reconstruction's effectiveness if surgeons who were not proficient with this technique performed some of the procedures. Fifteen of the trials described that an experienced surgeon or multiple senior surgeons performed all of the procedures, but they did not clarify whether their expertise in the double-bundle technique matched their expertise in the single-bundle technique. A minimum caseload of 60 ACL reconstructions has been suggested as necessary to minimize the risk of patients requiring revision ACL surgery [2]. Take-Home Messages There have been nine meta-analyses published on this topic since 2008, and Mascarenhas et al. [7] identified that this meta-analysis was one of only three that provided high-quality evidence [5, 13, 14]. In each of these three, the double-bundle technique achieved better anteroposterior and rotational knee stability according to the KT-1000 Arthrometer and the pivot shift test, but it was similar to single-bundle techniques for functional outcomes (Lysholm, Tegner, IKDC) [7]. Despite these advantages, double-bundle ACL reconstruction remains uncommonly used in clinical practice [1, 4]. In a recent survey of team surgeons in professional and college football, only one out of 137 surgeons preferred double-bundle reconstruction [4], and only 3% of more than 16,000 ACL procedures in the Swedish National ACL Register were double-bundle reconstructions [1]. There may be merit to double-bundle ACL reconstruction among those surgeons who are highly skilled in its technique, but a paradigm shift in practice patterns will likely require high-quality evidence that favors double-bundle ACL reconstruction for long-term functional outcomes and the prevention of degenerative changes [2].
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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".