| Autor: |
Fergus N. Doubal, Myzoon Ali, G. David Batty, Andreas Charidimou, Maria Eriksdotter, Martin Hofmann-Apitius, Yun-Hee Kim, Deborah A. Levine, Gillian Mead, Hermann A. M. Mucke, Craig W. Ritchie, Charlotte J. Roberts, Tom C. Russ, Robert Stewart, William Whiteley, Terence J. Quinn |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
BMC Neurology, Vol 17, Iss 1, Pp 1-10 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2377 |
| DOI: |
10.1186/s12883-017-0841-2 |
| Popis: |
Abstract Introduction Traditional approaches to clinical research have, as yet, failed to provide effective treatments for vascular dementia (VaD). Novel approaches to collation and synthesis of data may allow for time and cost efficient hypothesis generating and testing. These approaches may have particular utility in helping us understand and treat a complex condition such as VaD. Methods We present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group’s experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9th International Congress on Vascular Dementia (Ljubljana, 16-18th October 2015). Results We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach. Conclusions There are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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