Efficacy of pharmacological interventions for ADHD: protocol for an updated systematic review and dose-response network meta-analysis

Efficacy of pharmacological interventions for ADHD: protocol for an updated systematic review and dose-response network meta-analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Efficacy of pharmacological interventions for ADHD: protocol for an updated systematic review and dose-response network meta-analysis Mikail Nourredine, Lucie JUREK, Georgia SALANTI, Andrea CIPRIANI, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4342181/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 12 Oct, 2024 Read the published version in Systematic Reviews → Version 1 posted 5 You are reading this latest preprint version Abstract Background Attention-Deficit/Hyperactivity Disorder (ADHD) affects approximately 5% of children globally, with symptoms often persisting into adulthood. While pharmacological interventions are commonly employed for management, understanding the optimal dosing for efficacy and tolerability remains crucial. This study aims to conduct a dose-response network meta-analysis to estimate the efficacy of pharmacological treatments across different doses, aiming to inform clinical decision-making and improve treatment outcomes. Methods This updated systematic review will include randomized controlled trials evaluating ADHD medication efficacy in children, adolescents, and adults. An updated search from a 2018 NMA will be conducted across multiple electronic databases with no language restrictions, using specific eligibility criteria focused on randomized controlled trials. The primary outcome will assess the severity of ADHD core symptoms, while secondary outcomes will consider treatment tolerability. A dose-response Bayesian hierarchical model will be used to estimate dose-response curves for each medication, identifying optimal dosing strategies. Discussion With this dose response network metanalysis we aim to better understand the dose-response relationship of pharmacological treatment in ADHD, which could help clinician to the identification of optimal doses. Systematic review registration: OSF https://doi.org/10.17605/OSF.IO/3MY4A dose-response network meta-analysis Attention deficit/hyperactivity disorder pharmacotherapy Full Text Supplementary Files ADORMAProtocolAppendix.docx Cite Share Download PDF Status: Published Journal Publication published 12 Oct, 2024 Read the published version in Systematic Reviews → Version 1 posted Editorial decision: Minor revision 01 Sep, 2024 Reviewers agreed at journal 27 Jul, 2024 Reviewers invited by journal 24 Jul, 2024 Editor assigned by journal 18 Jul, 2024 First submitted to journal 29 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4342181","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":331255630,"identity":"035558f4-6243-4d74-b084-17600c3c80dc","order_by":0,"name":"Mikail 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