Treatment of acquired partial oculomotor nerve palsy with dexamethasone – A case report
Bibliographic record
Abstract
INTRODUCTION/IMPORTANCE: Oculomotor nerve palsy is an acquired condition caused by injury to the third cranial nerve. Patients present classically with their eye in a "down and out" positioning, ptosis and abnormalities in most extraocular movements causing diplopia. Ocular dysfunction may be due to a variety of different etiologies, such as aneurysm, microvascular disease, trauma, and viral infections. Clinical prognosis is usually quite good and is often self-limiting. CASE REPRESENTATION: We present a case of an otherwise healthy 40-year-old male who awoke one morning with moderate diplopia, unable to focus with binocular vision and developed eyelid ptosis two days later. He was previously infected with the Omicron variant of COVID-19; however, a rapid test could not confirm it. No intracranial or vascular pathology were identified on CT head, CT angiogram, or MRI. Repeat COVID-19 PCR test was negative. He was assessed by a neuro-ophthalmologist and was diagnosed with left partial oculomotor nerve palsy presumed secondary to viral microvascular injury. COVID-19 infection seemed likely given the history but could not be confirmed. The specialist recommended monitoring the patient without any treatment, with no recommendation of corticosteroid use. CLINICAL DISCUSSION: Cranial neuropathy guidelines for viral palsies involving the 7th or 8th cranial nerve are treated with corticosteroids. After considering the risks, the patient elected treatment with a left eye patch and a dexamethasone taper. Full return of function in all extremes of gaze was restored less than 2 months after onset. CONCLUSION: Given the complete and timely recovery, it may be reasonable to consider corticosteroids for all cranial neuropathies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".