P.101 Lateral medullary syndrome due to left vertebral artery occlusion in a boy post flexion neck injury
Bibliographic record
Abstract
Background: Wallenberg’s syndrome (WS), or lateral medullary syndrome is rare in pediatrics, but is not uncommon in adults. It is characterized by neurological deficits due to an ischemic lesion in the lateral medulla. Methods: Case report Results: We describe a 17-year-old boy who developed WS in the context of hyperflexion injury to the neck while diving in shallow water with vertebral dissection as a presumed etiology. He had ‘crossed’ neurological deficits above and below the neck. His MRA showed intra and extracranial left vertebral artery occlusion and his MRI showed T2W/FLAIR signal abnormality involving the left lateral medulla and inferomedial aspect of the cerebellum in keeping with infarcts secondary to the left vertebral artery thrombosis and occlusion of the left posterior inferior cerebellar artery. He was started on anti-coagulation after spinal surgery. On discharge, he had persistent dysphagia which prompt a gastrostomy tube placement prior to transfer to a rehabilitation center. Conclusions: Our case demonstrates that WS can occur post flexion injury in the pediatric population. The presence of crossed neurological findings above and below the neck in the context of neck injury is an important diagnostic clue that should prompt imaging study focusing on the brain stem and the posterior fossa vascular structures.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".