Lateral Extra-articular Tenodesis Does Not Influence Knee Abduction Moment During Drop Vertical Jump Following ACL Reconstruction
Bibliographic record
Abstract
Objectives: The combination of anterior cruciate ligament (ACL) reconstruction plus lateral extra-articular tenodesis (LET) has shown promising results during preclinical biomechanical and clinical testing at reducing anterolateral rotatory laxity; however, no studies have examined its effectiveness during a dynamic functional task. Therefore, we used the drop vertical jump (DVJ) to compare in vivo biomechanics of ACL reconstructed patients with and without LET from a subset of patients within the Stability randomized clinical study. We hypothesized that there would be a difference in peak knee abduction moment (KAM) between the two treatment groups at six months following surgery. Methods: This is a subset of patients taken from one center, within a pragmatic, multicenter prospective randomized clinical trial. Thirty patients were randomized to receive ACL reconstruction alone (n=16) or ACL reconstruction plus LET (n=14). At six months postoperative, all patients performed a drop vertical jump test and knee kinetics and kinematics were measured using three-dimensional motion analysis. Biomechanical variables of interest included peak initial contact and stance values for knee abduction moment and angle, knee flexion moment and angle and knee internal rotation moment and angle. Independent groups t-tests were used to assess kinetic and kinematic differences between the injured limbs of both treatment groups. Results: There was no significant difference in peak KAM between those who received ACL reconstruction alone (1.31 %BW×ht) and those who received an ACL reconstruction plus LET (1.14 %BW×ht) (Mean Difference, 0.17; 95% CI, -0.50 to 0.84, p = 0.60). Similarly, there were no differences in peak knee flexion moment or peak knee internal rotation moment between treatment groups (p=0.59 and p=0.37 respectively). There were also no significant differences in knee abduction angle, knee flexion angle or knee internal rotation angle at initial contact (p=0.40, p=0.08, p=0.23 respectively) or peak stance phase (p=0.10, p=0.44, p=0.19 respectively). Conclusion: We found no significant biomechanical differences between treatment groups at six months postoperative. However, these are the preliminary results of a larger continuing study and, at this time, no definitive conclusions can be made.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".