Projects per year
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.
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.
Original language | English |
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Article number | e012044 |
Number of pages | 10 |
Journal | BMJ Open |
Volume | 6 |
Issue number | 12 |
Early online date | 13 Dec 2016 |
DOIs | |
Publication status | Published - Dec 2016 |
Keywords
- Alzheimer's disease
- Neurodegenerative disease
- Drug repurposing
- Clinical Practice Research Datalink (CPRD)
- Pharmacoepidemiology
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Dive into the research topics of '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'. Together they form a unique fingerprint.Projects
- 2 Finished
Student theses
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New uses for old drugs : Investigating whether antihypertensives can be repurposed for the prevention of dementia
Author: Walker, V., 13 Sept 2019Supervisor: Davies, N. (Supervisor), Kehoe, P. (Supervisor) & Martin, R. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
File
Datasets
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CPRD codes: neurodegenerative diseases and commonly prescribed drugs
Walker, V. M. (Creator), Davies, N. (Creator), Kehoe, P. G. (Creator), Martin, R. M. (Creator) & Payne, R. (Data Manager), University of Bristol, 2 Oct 2017
DOI: 10.5523/bris.1plm8il42rmlo2a2fqwslwckm2, http://data.bris.ac.uk/data/dataset/1plm8il42rmlo2a2fqwslwckm2
Dataset