Psychiatric Medications and QTc Prolongation in the Pediatric Population.
Bibliographic record
Abstract
Various medications used to treat psychiatric conditions are associated with prolongation of the QTc interval, which can lead to Torsades de Pointes, a deadly arrhythmia. Despite evidence of QTc prolongation, clinicians increasingly use psychiatric drugs in the pediatric population. Guidelines for prescribing many of these medications in children do not currently exist. To safely prescribe QTc prolonging drugs, especially in children with preexisting cardiovascular conditions, psychiatric providers, primary care physicians and/or pediatricians should conduct a detailed personal and family medical history, medication record, physical examination, and lab work, if clinically indicated, to rule out potential risk factors. Pharmacist input should be sought, if available. If risk factors are present and pre-treatment assessments identify cardiac risk factors, an assessment by a cardiologist may be necessary. To enhance treatment safety and mitigate QTc prolongation risks associated with psychiatric drug use in children, a standardized approach for drug prescribing that takes patient risk factors into account is proposed.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".