Treatment of Failed Lateral Meniscal Oblique Radial Tear Repair With Segmental Allograft Meniscus Transplantation
Bibliographic record
Abstract
Surgical techniques that preserve the native meniscus have been investigated in the setting of irreparable meniscal tears, including meniscal allograft transplantation (MAT) and meniscal synthetic scaffolds. Complete MAT removes the entirety of the native meniscal tissue for transplantation with suboptimal long-term survivorship. Similarly, synthetic meniscal scaffolds have shown variable success rates with an inability to regenerate functional tissue or prevent early osteoarthritis. Therefore, segmental MAT techniques have been explored to preserve the healthy, native meniscal biology and decrease knee contact pressures and total surface contact area. Current indications for segmental MAT continue to evolve but may be considered in near-complete or full-thickness segmental meniscal deficiency, generally 1 to 2.5 cm in total meniscal length. Typically, the segmental deficiency is in the posterior or posterior-middle junction of the meniscus. This technique article outlines an arthroscopic technique for lateral segmental meniscal transplantation for an irreparable lateral meniscal oblique radial tear of the posterior horn with a 20-mm segmental defect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".