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常用处方药能否重新用于预防或治疗阿尔茨海默病及其他神经退行性疾病?英国临床实践研究数据链中的一项观察性队列研究方案。

Can commonly prescribed drugs be repurposed for the prevention or treatment of Alzheimer's and other neurodegenerative diseases? Protocol for an observational cohort study in the UK Clinical Practice Research Datalink.

作者信息

Walker Venexia M, Davies Neil M, Jones Tim, Kehoe Patrick G, Martin Richard M

机构信息

School of Social and Community Medicine, University of Bristol, Bristol, UK.

MRC University of Bristol Integrative Epidemiology Unit, Bristol, UK.

出版信息

BMJ Open. 2016 Dec 13;6(12):e012044. doi: 10.1136/bmjopen-2016-012044.

Abstract

INTRODUCTION

Current treatments for Alzheimer's and other neurodegenerative diseases have only limited effectiveness meaning that there is an urgent need for new medications that could influence disease incidence and progression. We will investigate the potential of a selection of commonly prescribed drugs, as a more efficient and cost-effective method of identifying new drugs for the prevention or treatment of Alzheimer's disease, non-Alzheimer's disease dementias, Parkinson's disease and amyotrophic lateral sclerosis. Our research will focus on drugs used for the treatment of hypertension, hypercholesterolaemia and type 2 diabetes, all of which have previously been identified as potentially cerebroprotective and have variable levels of preclinical evidence that suggest they may have beneficial effects for various aspects of dementia pathology.

METHODS AND ANALYSIS

We will conduct a hypothesis testing observational cohort study using data from the Clinical Practice Research Datalink (CPRD). Our analysis will consider four statistical methods, which have different approaches for modelling confounding. These are multivariable adjusted Cox regression; propensity matched regression; instrumental variable analysis and marginal structural models. We will also use an intention-to-treat analysis, whereby we will define all exposures based on the first prescription observed in the database so that the target parameter is comparable to that estimated by a randomised controlled trial.

ETHICS AND DISSEMINATION

This protocol has been approved by the CPRD's Independent Scientific Advisory Committee (ISAC). We will publish the results of the study as open-access peer-reviewed publications and disseminate findings through national and international conferences as are appropriate.

摘要

引言

目前针对阿尔茨海默病和其他神经退行性疾病的治疗效果有限,这意味着迫切需要能够影响疾病发病率和进展的新药物。我们将研究一系列常用处方药的潜力,作为一种更高效且具成本效益的方法,以识别用于预防或治疗阿尔茨海默病、非阿尔茨海默病痴呆症、帕金森病和肌萎缩侧索硬化症的新药。我们的研究将聚焦于用于治疗高血压、高胆固醇血症和2型糖尿病的药物,所有这些药物此前已被确定具有潜在的脑保护作用,并且有不同程度的临床前证据表明它们可能对痴呆症病理学的各个方面产生有益影响。

方法与分析

我们将使用来自临床实践研究数据链(CPRD)的数据进行一项假设检验观察性队列研究。我们的分析将考虑四种统计方法,这些方法在对混杂因素建模方面有不同的方法。它们是多变量调整Cox回归;倾向匹配回归;工具变量分析和边际结构模型。我们还将使用意向性分析,即我们将根据数据库中观察到的第一个处方来定义所有暴露情况,以便目标参数与随机对照试验估计的参数具有可比性。

伦理与传播

本方案已获得CPRD独立科学咨询委员会(ISAC)的批准。我们将以开放获取的同行评审出版物形式发表研究结果,并在适当的时候通过国内和国际会议传播研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3c/5168636/04f901c99f5a/bmjopen2016012044f01.jpg

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