Opsoclonus Myoclonus Ataxia Syndrome in the Setting of COVID-19 Infection
Bibliographic record
Abstract
A middle-aged man presented with imbalance and involuntary jerky movements of the body 3 weeks after initial recovery from coronavirus disease 2019 (COVID-19) lung infection, diagnosed by positive high-resolution CT thorax (COVID Reporting and Data System 5) and reverse transcription PCR (RT-PCR) from nasal swab.He had opsoclonus, cortical myoclonus, and symmetric cerebellar ataxia of speech, limbs, trunk, and gait on examination 1 (video 1).His MRI brain with contrast, CSF examination, HIV, Venereal Disease Research Laboratory, autoimmune, and paraneoplastic panel (including anti-GAD, antinuclear antibodies, antineutrophil cytoplasmic antibodies, anti-Hu, anti-Yo, anti-Ri, anti-amphiphysin, anti-PNAM2-Ma2/Ta antibodies), metabolic functions (hemogram, hematocrit, glucose, thyroid, renal, hepatic functions, electrolytes, serum and urine osmolality), and repeat nasal COVID-19 RT-PCR were normal.He recovered after treatment consisting of IV methylprednisolone (1 g/d), sodium valproate (20 mg/kg/d), clonazepam (2 mg/d), and levetiracetam (2 g/d) in 1 week (video 2).Our case adds to the increasing list of novel neurologic manifestations occurring in the setting of 3
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".