Association of quetiapine with ischemic brain stem stroke: a case report and discussion
Bibliographic record
Abstract
Atypical antipsychotics (AAPs) are approved by the US Food and Drug Administration (FDA) for the treatment of schizophrenia and bipolar disorder. Since the health regulatory agency of Canada (2002), the FDA (2003), and the European Medicines Agency (2004) reported an increased risk of cerebrovascular adverse events (CVAEs) from olanzapine and risperidone in clinical trials of elderly demented patients, there have been concerns about the risk of CVAEs associated with AAPs, and recent guidelines emphasize the importance of generating evidence for AAPs [Shin et al. 2013; Barnes, 2011]. In this article, an ischemic pontine stroke case probably related to quetiapine use is presented. Discussion of the case is of great importance because there are very limited data on the risk of CVAEs associated with the use of quetiapine,
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".