Augmentation of Femoral Fixation in Hamstring Anterior Cruciate Ligament Reconstruction with a Bioabsorbable Bead
Bibliographic record
Abstract
BACKGROUND: The EndoPearl is an adjunct to bioabsorbable interference screw fixation in the femoral tunnel in anterior cruciate ligament (ACL) reconstruction. The purpose of the study was to assess the clinical effectiveness of the EndoPearl using the KT-1000 Knee Arthrometer and the Mohtadi ACL Quality of Life (ACL-QOL) Questionnaire. HYPOTHESIS: The application of the EndoPearl in hamstring ACL reconstruction has no significant benefit when compared to conventional treatment in KT-1000 and ACL-QOL Questionnaire outcomes. STUDY DESIGN: Prospective single-blind randomized clinical trial. METHODS: ACL reconstruction with autogenous semitendinosus and gracilis tendons was performed on 35 patients. Preoperatively, 3 months, 6 months, and 18 months postoperatively, patients' knees were evaluated using the KT-1000 Knee Arthrometer and the ACL-QOL Questionnaire. RESULTS: Statistically significant differences were achieved in terms of KT-1000 side-to-side differences between the study group and the control group at 6 months and 18 months postoperatively; the mean side-to-side differences are significantly less in the study group when compared to the control group. Statistically significant differences were not detected when comparing the ACL-QOL Questionnaire between the two groups at all time intervals. CONCLUSION: The application of the EndoPearl in conjunction with a bioscrew in the femoral tunnel in autogenous ACL reconstruction using semitendinosus and gracilis tendon grafts provides a significantly decreased laxity up to 18 months postoperatively in terms of KT-1000 side-to-side differences.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".