Two cases of medial knee pain involving the medial coronary ligament in adolescents treated with conservative rehabilitation therapy.
Bibliographic record
Abstract
OBJECTIVE: This case study chronicled the assessment, treatment and management of two adolescent patients presenting with acute knee pain, diagnosed as medial meniscus tear, with or without a medial collateral ligament sprain, with coronary ligament involvement. CASES: Patient 1: A 16 year old male football player presented with right medial knee pain of 2 days duration after having been tackled during practice from the left side. Patient 2: A 16 year old female presented with right medial knee pain that began 1 week prior to presentation after a fall down the stairs. TREATMENT: Treatment was initiated in both cases using inflammatory control techniques of icing and fascial stripping and progressed to rehabilitative exercises including VMO (vastus medialis oblique) exercises and squatting exercises to strengthen the quadriceps femoris musculature and proprioceptive exercise. Rehabilitation occurred over a four week duration in both cases with progression of exercises on an individual basis. Both cases resolved within four weeks and return to normal activities resumed at the three week mark including a return to play in patient 1. Both patients reported complete resolution of symptoms at the four week mark with no recurrence on follow up a number of months later. SUMMARY: Conservative management, including icing, fascial stripping, and rehabilitative exercises may be beneficial in the treatment of medial meniscus tears with coronary ligament involvement in adolescents.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".