Acute Vision Loss as the Sole Presenting Symptom of Posterior Reversible Encephalopathy Syndrome
Bibliographic record
Abstract
A 45-year-old female with poorly controlled HTN presented with sudden, painless bilateral vision loss over 12 hours. On examination, she had only light perception in both eyes, with normal fundoscopy and no focal neurological deficits. Laboratory tests revealed mildly elevated creatinine and proteinuria. Imaging with MRI showed symmetrical hyperintensities in the occipital and parietal lobes, consistent with posterior reversible encephalopathy syndrome (PRES), while magnetic resonance angiography excluded large vessel occlusion. She was admitted to the intensive care unit, where blood pressure was controlled with intravenous labetalol, followed by oral antihypertensive therapy. Her vision improved within three days, and a repeat MRI on day five showed a resolution of the hyperintensities. The patient was discharged on day five with stable blood pressure and instructions for strict antihypertensive adherence. At a two-week follow-up, her visual acuity returned to baseline, and her serum creatinine normalized. This case emphasizes the importance of early diagnosis and management of PRES, particularly in patients with uncontrolled HTN, to prevent long-term neurological damage and recurrence.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".