The challenge of dementia prevention trials and the role of quasi‐experimental studies

痴呆 观察研究 概化理论 因果关系(物理学) 随机对照试验 混淆 医学 因果推理 风险因素 临床研究设计 随机化 临床试验 心理学 疾病 发展心理学 病理 量子力学 物理
作者
Josephine E. Lindhout,Jan Willem van Dalen,Willem A. van Gool,Edo Richard
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:19 (8): 3722-3730 被引量:1
标识
DOI:10.1002/alz.13029
摘要

Observational studies have shown consistently that modifiable risk factors during life are associated with increased dementia risk in old age but randomized controlled trials (RCTs) on dementia prevention evaluating the treatment of these risk factors did not find consistent effects on cognitive outcomes. The discrepancy in findings is potentially attributable to inherent differences between the two study designs. Although RCTs are the gold standard for establishing causality, designing and conducting an RCT for dementia prevention is complex. Quasi-experimental studies (QESs) may contribute to investigating causality without randomization. QESs use variation in exposure to a risk factor or intervention in an observational setting to deduct causal effects. Design-specific approaches are used to control for confounding, the main caveat of QESs. In this article we address the challenges, opportunities, and limitations of QESs for research into dementia prevention. HIGHLIGHTS: Despite consistent associations between modifiable risk factors and dementia, the mostly neutral effects of randomized controlled trials (RCTs) challenge the causality of these associations. RCTs in the field of dementia prevention are often problematic due to ethical, practical, or financial constraints, and their results may have limited generalizability. Four quasi-experimental study (QES) designs may be suitable to study causality between risk factors and dementia; we critically appraise these study designs for dementia-prevention studies. We describe how specific QES designs can be used to study the effects of risk-factor modification for 12 known risk factors for dementia.
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
韭菜发布了新的文献求助10
刚刚
KSGGS发布了新的文献求助30
1秒前
李爱国应助tanjianxin采纳,获得10
1秒前
1秒前
1秒前
柚子发布了新的文献求助10
2秒前
2秒前
2秒前
SciGPT应助小可采纳,获得10
2秒前
3秒前
3秒前
Akim应助若狂采纳,获得10
3秒前
Owen应助困困咪采纳,获得10
3秒前
3秒前
大雁完成签到 ,获得积分10
4秒前
就这样完成签到 ,获得积分10
4秒前
nn发布了新的文献求助10
4秒前
manan发布了新的文献求助10
4秒前
4秒前
4秒前
落落发布了新的文献求助10
4秒前
ssss完成签到,获得积分10
5秒前
余红发布了新的文献求助10
5秒前
jackcy完成签到 ,获得积分10
5秒前
成都完成签到,获得积分20
5秒前
6秒前
wjh发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
整齐的白筠完成签到,获得积分10
7秒前
WWWUBING完成签到,获得积分10
8秒前
小文发布了新的文献求助10
8秒前
MJQ发布了新的文献求助10
8秒前
8秒前
春夏秋冬发布了新的文献求助10
9秒前
9秒前
9秒前
李健的小迷弟应助nn采纳,获得10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759