The Effect of Methylphenidate on Prefrontal Cognitive Functioning, Inattention, and Hyperactivity in Velocardiofacial Syndrome
Bibliographic record
Abstract
OBJECTIVE: Methylphenidate (MPH) is commonly used to treat attention-deficit/hyperactivity disorder (ADHD) in all children, including those with velocardiofacial syndrome (VCFS). Yet concerns have been raised regarding its safety and efficacy in VCFS. The goal of this study was to examine the safety and efficacy of MPH in children with VCFS. METHODS: Thirty-four children and adolescents with VCFS and ADHD participated in a randomized, controlled trial with a 2:1 ratio of MPH versus placebo. All subjects underwent a cardiological evaluation before and after MPH administration. The primary outcome measure was prefrontal cognitive performance following a single dose of MPH or placebo. A follow-up assessment was conducted after a 6-month treatment with MPH. RESULTS: Compared with placebo, single MPH administration was associated with a more robust improvement in prefrontal cognitive performance, including achievements in the Hearts and Flowers executive function task and the visual continuous performance task. After 6 months of treatment, a 40% reduction in severity of ADHD symptoms was reported by parents on the Revised Conners Rating Scale. All subjects treated with MPH reported at least one side effect, but it did not necessitate discontinuation of treatment. MPH induced an increase in heart rate and blood pressure that was usually minor, but was clinically significant in two cases. No differences in response to MPH were observed between catechol-O-methyltransferase Met versus Val carriers. CONCLUSION: The use of MPH in children with VCFS appears to be effective and relatively safe. A comprehensive cardiovascular evaluation for children with VCFS before and during stimulant treatment is recommended.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".