Unilateral Pendular Nystagmus in Multiple Sclerosis: A Case Series
Bibliographic record
Abstract
BACKGROUND: Acquired pendular nystagmus is most often seen in patients with demyelinating disease. Although it is often bilateral, rare cases may be monocular. There is paucity of data on the spectrum of clinical presentation, underlying mechanism, and response to treatment in patients with monocular pendular nystagmus. METHODS: Retrospective case series of patients with monocular pendular nystagmus seen in 2 tertiary neuro-ophthalmology clinics between January 2019 and June 2022. All patients underwent a complete neuro-ophthalmological assessment and MRI. RESULTS: We describe 5 patients (3 women) aged 31-49 with monocular pendular nystagmus. All had a diagnosis of multiple sclerosis. Three patients had horizontal and 2 had vertical pendular nystagmus. The Snellen visual acuity in the eye with pendular nystagmus varied from 20/20 to 20/200. Two patients were asymptomatic and 3 suffered visually debilitating oscillopsia. Treatment response was available for 2 patients, both of which responded well to treatment with memantine. The pendular nystagmus was observed in the eye with worse visual acuity in 4 of 5 cases (80%). Three patients had bilateral pontine lesions, and 2 had unilateral pontine lesion ipsilateral to the side of nystagmus. CONCLUSIONS: Monocular pendular nystagmus in adults is seen most often in patients with multiple sclerosis. Asymmetry in brainstem lesions and afferent visual input may be the culprit. Treatment with memantine may result in significant improvement in symptomatic patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".