Safety and efficacy of acetylcholinesterase inhibitors for Alzheimer’s disease: A systematic review and meta-analysis

竞争对手 加兰他明 多奈哌齐 乙酰胆碱酯酶 荟萃分析 医学 置信区间 不利影响 内科学 系统回顾 临床试验 药理学 疾病 痴呆 梅德林 化学 生物化学
作者
Yaqi Gao,Yulin Liu,Yanfang Li
出处
期刊:Advances in Clinical and Experimental Medicine [Wroclaw Medical University]
卷期号:33 (11): 1179-1187 被引量:17
标识
DOI:10.17219/acem/176051
摘要

Alzheimer's disease (AD) affects millions of people worldwide. The most commonly used drugs are acetylcholinesterase inhibitors, i.e., donepezil, galantamine and rivastigmine, which increase levels of acetylcholine. However, the exact efficacy and safety of acetylcholinesterase inhibitors in the treatment of AD is still unclear. The main objective of the current study was to determine the exact safety and efficacy profile of acetylcholinesterase inhibitors in the treatment of AD by conducting a systematic review and meta-analysis of clinical trials according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conducted a web-based literature search of PubMed and clinical trial websites using relevant keywords. Data were extracted from eligible records and pooled as mean difference (MD) or risk ratio (RR) values with their 95% confidence interval (95% CI) using Review Manager software (v. 5.3 for Windows). Heterogeneity was calculated using χ2 and I2 tests. The standard mean difference (SMD) was -0.33 [-0.52, -0.13] for donepezil, -0.48 [-0.58, -0.38] for galantamine and -0.65 [-1.06, -0.23] for rivastigmine, indicating a significant effect of these drugs on cognitive outcomes. Here we show the significant effects of all available acetylcholinesterase inhibitors on cognitive function in patients with AD. However, further studies are needed to draw valid conclusions about the effects of acetylcholinesterase inhibitors on functional outcomes and adverse events.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
酷波er应助科研通管家采纳,获得10
刚刚
伶俐妙海应助科研通管家采纳,获得10
刚刚
科研通AI6.4应助zizizizi采纳,获得10
刚刚
星辰大海应助科研通管家采纳,获得10
刚刚
思源应助科研通管家采纳,获得10
刚刚
Nexus应助科研通管家采纳,获得50
刚刚
慕青应助科研通管家采纳,获得10
刚刚
脑洞疼应助科研通管家采纳,获得10
刚刚
大模型应助科研通管家采纳,获得10
1秒前
CodeCraft应助科研通管家采纳,获得10
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
kk完成签到,获得积分10
1秒前
彭于晏应助科研通管家采纳,获得30
1秒前
科目三应助科研通管家采纳,获得10
1秒前
小希发布了新的文献求助10
1秒前
1秒前
月颜完成签到,获得积分10
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
1秒前
哼哼哈嘿发布了新的文献求助10
1秒前
1秒前
1秒前
小二郎应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
Akim应助wst采纳,获得10
2秒前
2秒前
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
Valerie完成签到 ,获得积分10
2秒前
大模型应助科研通管家采纳,获得10
2秒前
火力全开发布了新的文献求助10
2秒前
3秒前
3秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7250072
求助须知:如何正确求助?哪些是违规求助? 8872716
关于积分的说明 18725419
捐赠科研通 6929601
什么是DOI,文献DOI怎么找? 3198956
关于科研通互助平台的介绍 2374147
邀请新用户注册赠送积分活动 2173620