Evidence for Use of Mood Stabilizers and Anticonvulsants in the Treatment of Nonaffective Disorders in Children and Adolescents
Bibliographic record
Abstract
Mood stabilizers and anticonvulsants have been frequently used to control behaviors in children and adolescent with nonaffective disorders. The purpose of this study was to review the literature to evaluate the evidence of these agents as treatment options in this subset of patients. We reviewed all the literature between 1949 and 2009 on the use of anticonvulsants and mood stabilizers in controlling severe behavior dysregulation and aggression in child and adolescent who do not meet the criteria for any mood disorder. The review revealed a total of 19 studies. Of the different mood stabilizers/anticonvulsants, both lithium and divalproex showed some promise in treating children and adolescents with nonmood disorders. Larger studies are nevertheless needed to support the ongoing use of these current anticonvulsants and mood stabilizers in children and adolescents with nonmood disorders. Also, further investigation to the potential use in the long term would need to be established, bearing in mind the balance of side effects and treatment benefit.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".