Muscle hernias of the leg: A case report and comprehensive review of the literature
Bibliographic record
Abstract
A case involving a retired, elderly male war veteran with a symptomatic peroneus brevis muscle hernia causing superficial peroneal nerve compression with chosen surgical management is presented. Symptomatic muscle hernias of the extremities occur most commonly in the leg and are a rare cause of chronic leg pain. Historically, treating military surgeons pioneered the early documentation of leg hernias observed in active military recruits. A focal fascial defect can cause a muscle to herniate, forming a variable palpable subcutaneous mass, and causing pain and potentially neuropathic symptoms with nerve involvement. While the true incidence is not known, the etiology has been classified as secondary to a congenital (or constitutional) fascial weakness, or acquired fascial defect, usually secondary to direct or indirect trauma. The highest occurrence is believed to be in young, physically active males. Involvement of the tibialis anterior is most common, although other muscles have been reported. Dynamic ultrasonography or magnetic resonance imaging is often used to confirm diagnosis and guide treatment. Most symptomatic cases respond successfully to conservative treatment, with surgery reserved for refractory cases. A variety of surgical techniques have been described, ranging from fasciotomy to anatomical repair of the fascial defect, with no consensus on optimal treatment. Clinicians must remember to consider muscle hernias in their repertoire of differential diagnoses for chronic leg pain or neuropathy. A comprehensive review of muscle hernias of the leg is presented to highlight their history, occurrence, presentation, diagnosis and treatment.
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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 | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".