Capitellar osteochondritis dissecans in an elite pre-adolescent gymnast: a case report and overview.
Bibliographic record
Abstract
Objective: Following sports injury, a timely and accurate diagnosis is important, so as to initiate appropriate care as soon as possible. This is perhaps even more paramount in pediatric athletic trauma, particularly during the pre-puberty through adolescent years of rapid skeletal growth. This paper presents the diagnosis and management of osteochondritis dissecans in its third most common location, the elbow, a presentation of which chiropractors should be aware, including the importance of timely diagnosis and appropriate treatment. Clinical features: A 9-year-old elite gymnast presented at a chiropractic clinic with elbow pain and restricted range of motion after a fall during training. Following multidisciplinary involvement, the diagnosis was eventually made as osteochondritis dissecans. Intervention and outcomes: The patient underwent successful arthroscopic surgery in order to remove the osteochondral fragment, followed by a specific regimen of rehabilitation exercises, which helped to enhance and accelerate optimal healing for her return to athletic activity. Summary: This case reminds the practicing chiropractor of the valuable role he/she can play in a multidisciplinary management of pediatric sports trauma, particularly in diagnosis and post-surgical care. A literature review presents a synopsis of the reported clinical presentations, diagnostic assessment and therapeutic options for capitellar osteochondritis dissecans.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".