Brain injury following neuroleptic malignant syndrome: Case report and review of the literature
Bibliographic record
Abstract
OBJECTIVE: To report a case of brain injury following neuroleptic malignant syndrome (NMS) and review the literature for similar documented cases. CASE REPORT: A 30-year old woman presented to the ER with psychotic features and was treated with several anti-psychotics. Subsequently, she developed neurological symptoms and was diagnosed with neuroleptic malignant syndrome. Following a prolonged course in an acute care facility, she was admitted to a rehabilitation ward, where cognitive and physical examinations revealed significant findings. These included marked dysarthria, difficulties comprehending commands, attention problems, as well as abnormalities in her muscle tone, power, reflexes, gait, co-ordination and sensory function. CONCLUSION: Literature reviews reveal few documented cases of brain injury following neuroleptic malignant syndrome. A further exploration of the effects of NMS on the brain is warranted to elicit whether cerebellar damage is indeed common following neuroleptic malignant syndrome. Such research could eventually lead to therapeutic interventions aimed at preventing permanent brain injury in persons with NMS.
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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 | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".