Quadriceps‐Bone‐Block Autograft Anterior Cruciate Ligament Reconstruction With Tibial Interference Screw Aperture Fixation and Suture Tape Reinforcement
Bibliographic record
Abstract
Anterior cruciate ligament (ACL) reconstruction is one of the most common orthopaedic surgical procedures. The risk of clinical failure after isolated ACL reconstruction in high-risk populations is as high as 40% at 2 years postoperatively. Multiple strategies exist to decrease the risk of rerupture after ACL reconstruction, including manipulation of the graft source and diameter, optimization of the femoral and tibial tunnel position, addition of concomitant extra-articular procedures, and graft support with synthetic material. Independent graft reinforcement with a high-strength, nonabsorbable suture tape has become a popular, low-cost, low-morbidity technique to increase the graft yield strength, decrease graft stretching, improve clinical outcomes, and decrease rerupture rates. However, most suture tape reinforcement techniques require suspensory fixation of both the femoral and tibial sides, with no alternative for bone-block aperture fixation. Furthermore, the existing techniques for independent suture tape reinforcement with tibial aperture fixation are overly complex, requiring intra-articular shuttling of thick, multi-braided suture limbs. We present a simple, extra-articular shuttling technique for independent suture reinforcement of quadriceps-bone-block autograft ACL reconstruction with tibial interference screw aperture fixation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".