Arthroscopic Debridement for Mucoid Degeneration of Anterior Cruciate Ligament - A Single Institution Experience from Nepal
Bibliographic record
Abstract
Background Mucoid degeneration of anterior cruciate ligament is characterized by infiltration of mucoid-like material scattered throughout the anterior cruciate ligament substance. It is an uncommon condition, but previously, underdiagnosed or often misdiagnosed as an anterior cruciate ligament tear. Objective To present our early experiences with mucoid degeneration of anterior cruciate ligament in last five years in terms of clinical presentation and the outcomes of arthroscopic management. Method This was a retrospective descriptive cross-sectional study on patient who received arthroscopic debridement for mucoid degeneration of anterior cruciate ligament in Dhulikhel Hospital over five years period (2017 May to 2022 April). Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale that has been translated and validated to be used in local (Nepali) language and context was used for evaluation of outcome evaluation. Result Twenty-one patients of mean age 44.21 years, predominantly females (18), were managed in five years period. The mean Western Ontario and McMaster Universities Osteoarthritis Index score was 16.33±10.47 with a range of 0 to 36 (11.57 to 21.09 at 95% confidence interval). The mean Western Ontario and McMaster Universities Osteoarthritis Index score converted on a scale of 0 to 100 was 17. Thirteen patients had isolated Mucoid degeneration of anterior cruciate ligament whereas nine others had associated either meniscal tear or chondral lesions. Conclusion Mucoid degeneration of anterior cruciate ligament could be a cause of knee pain in middle-aged patients and arthroscopic debridement can improve the patient's symptoms and provide a good functional outcome.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".