Rapid Resolution of Delayed Facial Palsy in Miller Fisher Syndrome With Steroid Therapy
Bibliographic record
Abstract
Miller Fisher syndrome (MFS), a variant of Guillain-Barre syndrome (GBS), is characterized by the classic triad of ataxia, areflexia, and ophthalmoplegia. Approximately 20% of MFS patients experience facial weakness, with a subset developing delayed facial palsy (DFP) after other neurological symptoms have peaked or begun to improve. Initially, DFP was considered a natural progression of MFS, leading to recommendations against additional treatment. However, DFP persisted for more than 50 days without additional treatment in some patients, prompting additional steroid therapy, resulting in quicker resolution of DFP. We describe an MFS patient who presented with the classic triad of MFS and subsequently developed DFP. The patient was treated with methylprednisolone pulse therapy (1,000 mg/day for 3 days) followed by oral prednisolone (60 mg/day) with a gradual taper, resulting in rapid and complete resolution of DFP, suggesting an alternative mechanism behind DFP, opening avenues for further research and insights into this matter. MFS-DFP is rarely reported in the literature. In addition to this case, we aim to provide a comprehensive literature review on MFS-DFP, to further expand the existing knowledge on the current concepts of DFP-MFS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".