Repair of Meniscal Tears by the All-Inside Polylactic Acid Meniscal Arrow
Bibliographic record
Abstract
The objective of meniscal repair is to prevent the early onset of osteoarthritis and alleviate the symptoms of a torn meniscus. In order to minimize the risk of neurovascular damage when repairing posterior and lateral horn tears of the meniscus, an all-inside arthroscopic surgical technique has been developed using a polylactic acid (PLA) tack as a bioabsorbable "meniscal arrow". This paper is a retrospective study that evaluates the efficacy of this technique. Post-operative evaluation was performed by chart review and surveys with respect to knee function (Lysholm Scale), activity level (Tegner Activity Scale), and patient quality of life (Medical Outcomes Survey, Short Form-36). Clinical evaluation showed that 12 of 13 patients had successful repair by this technuque. Eight patients had normal range-of-motion (ROM), three were restricted, and two were unrecorded. Surveys were completed by 8 of 13 patients. Six of eight survey respondents returned to pre-injury levels of sport activity. Mean scores of the eight survey respondents on the Short Form-36 showed slightly lower than average values for Physical Functioning (PF), Role-Physical (RP), and Bodily Pain (BP); however, General Health (GH), Vitality (VT), Social Functioning (SF), Role-Emotinal (RE), and Mental Health (MH) scores were above average. All study values were within 1.2 SD of the norm. Quality of life did not appear to be affected. Seven of eight survey respondents reported slight impairment while squatting. The all-inside meniscal arrow repair technique was effective and appropriate in repairing meniscal tears of the knee. Unfortunately, difficulty in squatting and restriction of ROM are two sequelae that may occur post-operatively.
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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".