De Novo Footdrop Resulting From an Isolated Acute Repetitive Strain Injury
Bibliographic record
Abstract
OBJECTIVES: To report a case of a teenage boy (N.K.) who had a peroneal nerve palsy after an isolated repetitive stain injury from an episode of sustained repetitive kicking and to explore the emergency physician's approach to footdrop or absent dorsiflexion. METHODS: Chart review. RESULTS: N.K. presented to the emergency department (ED) with right footdrop, inability to dorsiflex. Results of investigations in the ED, including radiographs of his lumbar spine and knees and a magnetic resonance imaging scan of the lumbar spine, were all normal. Electromyography showed that the extensor digitorum brevis muscle was borderline prolonged at 4.1 m/s for 65 mm, whereas the distal latency of the tibial nerve to abductor hallucis muscle was prolonged at 4.8 milliseconds for 7 cm. There were increased insertional activity and 2+ fibrillation potentials in EDB, but motor units were normal, as was recruitment. There was no conduction velocity slowing across the fibular head segment of the peroneal nerve. N.K. did not need any further follow-up because his function was completely regained. CONCLUSIONS: Repetitive strain injury, even in acute settings may predispose one to developing a peroneal neuropathy. As in the case of N.K., most cases resolve in weeks to months, and electromyography studies are important to help definitively decide what type of neuronal injury has been sustained.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".