Pontine Infarct Camouflaged as Bell’s Palsy
Bibliographic record
Abstract
Facial palsy is a neurological disorder triggered by dysfunction of the seventh cranial nerve, categorized as either central, between the cerebral cortex and brainstem nuclei, or peripheral, between the brainstem nuclei and peripheral organs. Central lesions cause impairment of the contralateral lower facial musculature with associated sparing of the forehead and ocular muscles. Conversely, peripheral lesions produce ipsilateral whole-sided facial hemiplegia including both forehead and ocular muscles. Facial palsy is diagnosed clinically, while imaging studies and additional subsidiary testing (e.g. electromyography, nerve conduction studies), serologies, and rarely biopsy can assist in confirming or refuting the working diagnosis. The differential diagnosis comprises Bell’s palsy (idiopathic), HIV infection, Ramsey Hunt syndrome, Lyme, sarcoidosis, amyloidosis, acoustic neuroma, parotid gland tumor, temporal bone biopsy, otitis media, Guillain-Barre syndrome, and brainstem infarct. Facial palsy is branded as Bell’s palsy if one of the aforementioned etiologies is not identified as the root cause. Herein, we report the case of a 58-year-old male, who presented with left facial weakness involving both the upper and lower face, posterior circulation symptoms in the setting of hypertensive emergency. Initial magnetic resonance imaging (MRI) was unrevealing for any acute process, however given lack of improvement repeat imaging was ordered. The patient was ultimately confirmed to have an acute versus subacute pontine infarct where the seventh and eighth cranial nerve exits at the cerebellopontine angle. Ancillary laboratory studies were non-contributory. Subsequently, the patient’s symptoms continued to improve, blood pressure control was achieved, and was consequently discharged on goal-directed medical therapy. J Neurol Res. 2019;9(1-2):14-17 doi: https://doi.org/10.14740/jnr524
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".