Epilepsy, Attention-Deficit/Hyperactivity Disorder and Methylphenidate: Critical Examination of Guiding Evidence.
Bibliographic record
Abstract
OBJECTIVE: Attention-Deficit/Hyperactivity Disorder (ADHD) and epilepsy are commonly comorbid; yet in the psychiatric literature, there is a remarkable paucity of guiding evidence regarding the safety and efficacy of treatment using methylphenidate (MPH) in this population. The objective of this review is to critically appraise evidence regarding the treatment of ADHD in the context of seizure disorders in order to better inform management considerations and practices. METHOD: A comprehensive search of the Central, Embase, Medline, and Web of Science databases identified 349 references. After a thorough review, only nine relevant references contributing new information and providing reliable and interpretable data were identified; seven were prospective studies (two double-blind placebo controlled trials, five open-label trials) and two were retrospective reviews. Prospective studies were then reviewed in detail, critically appraised, and interpreted. RESULTS: All studies reported no increase in seizure rates in a majority of participants after exposure to MPH. MPH was effective in treating ADHD symptoms. However, the following major limitations to the studies impede drawing confident conclusions: small sample sizes, lack of uniformity regarding seizure type and severity, seizure-free period pre-stimulant treatment, and low baseline seizure rates. CONCLUSIONS: Given the academic, social, emotional, and functional impact of untreated ADHD, a watchful approach to the use of MPH in children with stable epilepsy who are impaired by ADHD symptoms is justified.
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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 | 0.026 | 0.098 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".