Cochrane Review: Pharmacological treatment for Attention Deficit Hyperactivity Disorder (ADHD) in children with comorbid tic disorders
Notice bibliographique
Résumé
Abstract Background Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent of the comorbid psychiatric disorders that complicate tic disorders. Medications commonly used to treat ADHD symptoms include the stimulants methylphenidate and amphetamine; nonstimulants, such as atomoxetine; tricyclic antidepressants; and alpha agonists. Due to the impact of ADHD symptoms on the child with tic disorder, treatment of ADHD is often of greater priority than the medical management of tics. However, for many decades clinicians have been reluctant to use stimulants to treat children with ADHD and tics for fear of worsening their tics. Objectives To assess the effects of pharmacological treatments for ADHD on ADHD symptoms and tic severity in children with ADHD and comorbid tic disorders. Search methods We searched CENTRAL ( The Cochrane Library 2009, Issue 4), MEDLINE (1950 to July 2009), EMBASE (1980 to July 2009), CINAHL (1982 to July 2009), PsycINFO (1806 to July Week 4 2009) and BIOSIS Previews (1985 to July 2009). Dissertation Abstracts (searched via Dissertaation Express), and the metaRegister of Controlled Trials were searched (30 July 2009). Selection criteria We included randomized, double‐blind, controlled trials of any pharmacological treatment for ADHD used specifically in children with comorbid tic disorders. We included both parallel group and cross‐over study designs. Data collection and analysis Two authors independently extracted data using standardized forms. Main results We included a total of eight randomized controlled studies in the review but were unable to combine any of these in meta‐analysis. Several of the trials assessed multiple agents. Medications assessed included methylphenidate, clonidine, desipramine, dextroamphetamine, guanfacine, atomoxetine, and deprenyl. All treatments, with the exception of deprenyl, were efficacious in treating symptoms of ADHD. Tic symptoms improved in children treated with guanfacine, desipramine, methylphenidate, clonidine, and the combination of methylphenidate and clonidine. Fear of worsening tics limited dose increases of methylphenidate in one study. High dose dextroamphetamine appeared to worsen tics in one study, although the length of this study was limited. Authors' conclusions Methylphenidate, clonidine, guanfacine, desipramine and atomoxetine appear to reduce ADHD symptoms in children with tics. Although stimulants have not been shown to worsen tics in most people with tic disorders, they may nonetheless exacerbate tics in individual cases. In these instances, treatment with alpha agonists or atomoxetine may be an alternative. Although there is evidence that desipramine is effective for both tics and ADHD in children, safety concerns will likely continue to limit its use in this population. Plain Language Summary Medications for Attention Deficit Hyperactivity Disorder in children with tics As many as half of all children with tic disorders also have Attention Deficit Hyperactivity Disorder (ADHD). Symptoms of ADHD are often more disabling for children than their tics. Historically, the reported ability of stimulant medications to worsen tics has limited their use in children who have both a chronic tic disorder and ADHD. To evaluate evidence for this reported phenomenon we searched for clinical trials of medications for ADHD used specifically in children with tic disorders. The trials indicate that a number of stimulant and non‐stimulant medications are safe and effective treatments for ADHD symptoms and do not worsen tics. High dose stimulants may transiently worsen tics in some children, and worsening tics may limit dose increases of stimulants in some children, but in the majority of children both tics and ADHD symptoms improve with use of stimulant medications.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».