Mapping new pharmacological interventions for cognitive function in Alzheimer's disease: a systematic review of randomized clinical trials

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, that is, characterized by cognitive decline. To date, there are no effective treatments for AD. Therefore, the objective of this study was to map new perspectives on the effects of pharmacological treatment on cognitive funct...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in pharmacology Vol. 14; p. 1190604
Main Authors Xu Lou, Inmaculada, Chen, Jiayue, Ali, Kamran, Shaikh, Abdul Lateef, Chen, Qilan
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 01.06.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Alzheimer's disease (AD) is a progressive neurodegenerative disorder, that is, characterized by cognitive decline. To date, there are no effective treatments for AD. Therefore, the objective of this study was to map new perspectives on the effects of pharmacological treatment on cognitive function and the overall psychological state in patients with AD. Two independent researchers searched for randomized clinical trials (RCTs) exploring new pharmacological approaches related to cognition in Alzheimer's disease in adults from 2018 to 2023 in PubMed, Web of Science, Scopus, and Cochrane Library databases. A total of 17 RCTs were included in this review. The results show that in recent years, new drugs have been tested in patients with Alzheimer's disease, including masitinib, methylphenidate, levetiracetam, Jiannao Yizhi, and Huannao Yicong formulas. Most studies have been conducted in populations with mild to moderate Alzheimer's disease. Although some of the drugs found suggested improvement in cognitive function, the scarcity of available studies highlights the need for further research in this area. [www.crd.york.ac.uk/prospero], identifier [CRD42023409986].
Bibliography:content type line 23
SourceType-Scholarly Journals-1
Edited by: Syed Shams Ul Hassan, Shanghai Jiao Tong University, China
Reviewed by: Suet Cheung, Tsinghua University, China
These authors have contributed equally to this work and share first authorship
Syed Qamar Abbas, Sarhad University of Science & Information Technology (SUIT), Pakistan
ISSN:1663-9812
1663-9812
DOI:10.3389/fphar.2023.1190604