NEUROMYELITIS OPTICA IN THE PEDIATRIC POPULATION
Bibliographic record
Abstract
Objectives: Neuromyelitis optica (Devic's disease) is a distinct demyelinating syndrome characterized by the initial development of optic neuritis (typically bilateral) followed by a transverse myelitis several weeks or months later. It differs from multiple sclerosis by its particular CNS involvement, absence of oligoclonal bands and pleocytosis in the cerebrospinal fluid and imaging evidence of spinal cord involvement extending over multiple segments. This syndrome has only been reported once (Jeffery and Bundic, 1996) previously in children. Methods: A retrospective chart review was performed on two cases with current diagnostic criteria for Devic's disease. Results: Both patients were diagnosed at age 13 with a demyelinating disease. The first patient presented with recurrent nausea, vomiting and vertigo. A demyelinating lesion was found in his medulla on MRI. Subsequently, he had recurrent attacks of optic neuritis and transverse myelitis affecting multiple segments. Presently at age 20, he is blind and tetraplegic, requiring ventilatory support intermittently for relapses. The second patient presented initially with a bilateral optic neuritis. Shortly after his first steroid taper, he developed urinary retention and limb weakness. Spinal MRI revealed widespread demyelinating lesions. He recovered back to his baseline after each of the two attacks. Conclusion: Neuromyelitis optica does occur in the pediatric population. It needs to be considered in the differential diagnosis of children with a demonstrated demyelinating cause for either visual loss or myelopathy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".