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Comparative efficacy and tolerability of pharmacological interventions for attention-deficit/hyperactivity disorder in children, adolescents and adults: protocol for a systematic review and network meta-analysis.

Author: , AdamoNicoletta, AtkinsonLauren Z, BanaschewskiTobias, BarbuiCorrado, BhattiSahar, CarucciSara, CiprianiAndrea, CoghillDavid, CorteseSamuele, Del GiovaneCinzia, HayesAdrian J, Mohr-JensenChristina, PurgatoMarianna, ShokranehFarhad, SimonoffEmily, SteinhausenHans-Christoph, XiaJun, ZuddasAlessandro

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Comparative StudyResearch that compares multiple groups/interventions to determine differences/similarities in outcomes/characteristics.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

This planned network meta-analysis will rank pharmacological treatments for ADHD according to their efficacy and tolerability profiles. The analysis will integrate direct and indirect comparisons from randomized controlled trials (RCTs) to provide a comprehensive overview of available treatment options.
Paper Details　
Original Abstract of the Article :
Attention-deficit/hyperactivity disorder (ADHD) is a major public health issue. Pharmacological treatments play an important role in the multimodal treatment of ADHD. Currently, there is a lack of up-to-date and comprehensive evidence on how available ADHD drugs compare and rank in terms of efficacy...See full text at original site
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難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。

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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253538/

データ提供：米国国立医学図書館（NLM）

Pharmacological Interventions for Attention-Deficit/Hyperactivity Disorder

This research delves into the complex world of attention-deficit/hyperactivity disorder (ADHD), seeking to provide a comprehensive overview of the available pharmacological treatments. The researchers embarked on a systematic review and network meta-analysis, a meticulous process akin to mapping a vast desert with precision and detail. Their findings aim to provide a robust evidence-based framework for clinicians seeking to optimize pharmacological interventions for ADHD.

Ranking Pharmacological Treatments for ADHD

The researchers plan to conduct a network meta-analysis to rank available pharmacological treatments for ADHD based on their efficacy and tolerability profiles. This discovery is like finding a hidden oasis in the vast desert of ADHD research, offering valuable insights for clinicians seeking to optimize treatment strategies. The researchers aim to provide a comprehensive and up-to-date assessment of the available pharmacological options, guiding clinicians in making informed decisions for their patients.

Optimizing Treatment for ADHD

This research highlights the importance of evidence-based decision-making in managing ADHD, seeking to provide a robust framework for optimizing pharmacological interventions. It's like utilizing a compass and map to navigate the intricate landscape of ADHD treatment. The researchers' findings will provide clinicians with a valuable resource for selecting appropriate pharmacological treatments based on the specific needs of their patients, ensuring the best possible outcomes for those living with ADHD.

Dr. Camel's Conclusion

This research is a valuable contribution to the field of ADHD treatment, providing a comprehensive overview of available pharmacological options and their relative efficacy and tolerability. It's like discovering a hidden oasis in the vast desert of ADHD research, offering valuable insights for clinicians seeking to optimize treatment strategies. The researchers' findings will provide a robust evidence-based framework for selecting appropriate pharmacological treatments, ensuring the best possible outcomes for those living with ADHD.

Date :
  1. Date Completed 2018-01-01
  2. Date Revised 2022-03-30
Further Info :

Pubmed ID

28073796

DOI: Digital Object Identifier

PMC5253538

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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