医学
随机对照试验
安慰剂
梅德林
临床试验
疾病
重症监护医学
科克伦图书馆
临床终点
精神科
替代医学
内科学
病理
政治学
法学
作者
María Soto,Sandrine Andrieu,Fati Nourhashémi,Pierre Jean Ousset,Clive Ballard,Philippe Robert,Bruno Vellas,Constantine G. Lyketsos,Paul Rosenberg
标识
DOI:10.1017/s1041610214001720
摘要
ABSTRACT Background: The management of disruptive neuropsychiatric symptom (NPS) such as agitation and aggression (A/A) is a major priority in caring for people with Alzheimer's disease (AD). Few effective pharmacological or non-pharmacological options are available. Results of randomized clinical trials (RCTs) of drugs for A/A have been disappointing. This may result from the absence of biological efficacy for medications tested in treating A/A. It may also be related to methodological issues such as the choice of outcomes. The aim of this review was to highlight key methodological issues pertaining to RCTs of current and emerging medications for the treatment of A/A in AD. Methods: We searched PubMed/Medline, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov for RCTs comparing medications with either placebo or other drugs in the treatment of A/A in AD, between January 2008 and December 2013. Results: We identified a total of 18 RCTs; of these, 11 were completed and 7 ongoing. Of the ongoing RCTs, only one is in Phase III. Seven of 10 completed RCTs with reported results did not report greater benefit from drug than placebo. Each of the completed RCTs used a different definition of “clinically significant A/A.” There was considerable heterogeneity in study design. The primary endpoints were largely proxy-based but a variety of scales were used. The definition of caregiver and scales used to assess caregiver outcomes were similarly heterogeneous. Placebo response was notable in all trials. Conclusions: This review highlights a great heterogeneity in RCTs design of drugs for A/A in AD and some key methodological issues such as definition of A/A, choice of outcome measures and caregiver participation that could be addressed by an expert consensus to optimize future trials design.
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