Myelin Oligodendrocyte Glycoprotein-Associated Pediatric Central Nervous System Demyelination: Clinical Course, Neuroimaging Findings, and Response to Therapy
Bibliographic record
Abstract
Under the umbrella of pediatric-acquired demyelinating syndromes, there is a multitude of disorders, including optic neuritis, transverse myelitis, acute disseminated encephalomyelitis (ADEM), multiple sclerosis (MS), and neuromyelitis optica spectrum disorders (NMOSD). Due to overlapping clinical and magnetic resonance imaging (MRI) features, it can be challenging to provide an accurate diagnosis. In view of therapeutic and prognostic implications, an early and reliable diagnosis is however of utmost importance. Recent studies of myelin oligodendrocyte glycoprotein (MOG) identify MOG, as a promising target for antibody-mediated demyelination and a biomarker for a relatively benign and non-MS disease course. We describe the clinical and MRI presentation of five children presenting with an acute, severe central nervous system inflammatory disease involving the brain and spinal cord, all of whom were positive for MOG-IgG antibody. Encephalopathy was uncommon at presentation and all had quick resolution of symptoms with intravenous steroid and intravenous immunoglobulin (IVIG) treatment. All patients recovered well, and have been treated with IVIG to potentially prevent relapses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".