Probable Topiramate-Induced Hemiparesis
Bibliographic record
Abstract
1It is also indicated for migraine prophylaxis in adults. 1,2 An off-label use of topiramate is as a mood stabilizer (with no associated weight gain) in rapid-cycling and mixed bipolar episodes. 3-7 The mechanisms of action of topiramate suggest a broad spectrum of anticonvulsant activity, including blockade of voltage-gated sodium and calcium channels, increase in inhibitory transmission via enhancement of -aminobutyric acid‐stimulated chloride currents, decrease in excitatory transmission via blockade of the adenosine monophosphate-kainate subtype of the glutamate receptor, and weak inhibition of carbonic anhydrase. 8-11 Despite the benefits of topiramate as listed above, includ ing weight neutrality, patients are still prone to discontinue their medications. This problem is highly prevalent among patients with mental health conditions, most notably schizophrenia and bipolar disorders. In particular, patients may abruptly discontinue their antiepileptic medications secondary to experiencing adverse effects, even if they have been made aware of the poten tial for such adverse effects through education provided by a pharmacist. Prescribers and other health care providers must be aware of potential adverse effects that may arise with the commencment and maintenance of antiepileptic therapy.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".