MoCA as a cognitive assessment tool for absence status epilepticus
Bibliographic record
Abstract
De novo absence status is clinically characterized by a confusional syndrome and neurophysiologically by the presence of periodic spike/polyspike-and-wave discharges on EEG. The treatment should be started promptly, and fast recovery is usually seen. However, cognitive symptoms can be very difficult to detect, and no consensus exists on how cognitive improvement can be clinically monitored. We report a patient with absence status epilepticus, whose therapeutic response was monitored neurophysiologically with EEG and clinically with a cognitive test; the Montreal Cognitive Assessment (MoCA). Based on this case report, we describe the use of the MoCA for monitoring cognitive function in a patient with absence status epilepticus. MoCA was evaluated on three occasions, with a total score ranging from 9, before treatment, to 23, when an EEG with no epileptiform discharges was obtained. We suggest that MoCA may be a useful tool to monitor cognitive improvement in absence status epilepticus.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".