A Randomized Controlled Trial Comparing the Effectiveness of Functional Knee Brace and Neoprene Sleeve Use after Anterior Cruciate Ligament Reconstruction
Bibliographic record
Abstract
BACKGROUND: Despite a lack of evidence for their effectiveness, functional knee braces are commonly prescribed to patients after anterior cruciate ligament (ACL) reconstruction. PURPOSE: This trial was conducted to compare postoperative outcomes in patients using an ACL functional knee brace and patients using a neoprene knee sleeve. HYPOTHESIS: Patients using a brace will have superior outcomes than those using a sleeve. STUDY DESIGN: Randomized controlled clinical trial; Level of evidence, 1. METHODS: One hundred fifty patients were randomized to receive a brace (n = 76) or neoprene sleeve (n = 74) at their 6-week postoperative visit after primary ACL reconstruction with hamstring autograft. Patients were assessed preoperatively, then 6 weeks and 6, 12, and 24 months postoperatively. Outcome measures included disease-specific quality of life (Anterior Cruciate Ligament-Quality of Life [ACL-QOL] Questionnaire), anterior tibial translation (KT-1000 arthrometer side-to-side difference), the single-limb forward hop test (limb symmetry index), and Tegner Activity Scale. Outcomes at 1 and 2 years were compared after adjusting for baseline scores. Subjective ratings of how patients felt while using the brace/sleeve were also collected for descriptive purposes using a questionnaire. Four a priori directional subgroup hypotheses were evaluated using tests for interactions. RESULTS: There were no significant differences between brace (n = 62) and sleeve (n = 65) groups for any of the outcomes at 1- and 2-year follow-ups. Adjusted mean differences at 2 years were as follows: -0.94 (95% confidence interval [CI], -7.52 to 5.64) for the ACL-QOL Questionnaire, -0.10 mm (95% CI, -0.99 to 0.81) for KT-1000 arthrometer side-to-side difference, -0.87% (95% CI, -8.89 to 7.12) for hop limb symmetry index, and -0.05 (95% CI, -0.72 to 0.62) for the Tegner Activity Scale. Subjective ratings of confidence in the knee provided by the brace/sleeve were higher for the brace group than the sleeve group. Subgroup findings were minimal. Adverse events were few and similar between groups. CONCLUSIONS: A functional knee brace does not result in superior outcomes compared with a neoprene sleeve after ACL reconstruction. Current evidence does not support the recommendation of using an ACL functional knee brace after ACL reconstruction.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".