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Collaborative research between academia and industry using a large clinical trial database: A case study in Alzheimer's disease

Jones, R and Wilkinson, D and Lopez, OL and Cummings, J and Waldemar, G and Zhang, R and Mackell, J and Gauthier, S (2011) Collaborative research between academia and industry using a large clinical trial database: A case study in Alzheimer's disease. Trials, 12.

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Background: Large clinical trials databases, developed over the course of a comprehensive clinical trial programme, represent an invaluable resource for clinical researchers. Data mining projects sponsored by industry that use these databases, however, are often not viewed favourably in the academic medical community because of concerns that commercial, rather than scientific, goals are the primary purpose of such endeavours. Thus, there are few examples of sustained collaboration between leading academic clinical researchers and industry professionals in a large-scale data mining project. We present here a successful example of this type of collaboration in the field of dementia.Methods: The Donepezil Data Repository comprised 18 randomised, controlled trials conducted between 1991 and 2005. The project team at Pfizer determined that the data mining process should be guided by a diverse group of leading Alzheimer's disease clinical researchers called the "Expert Working Group." After development of a list of potential faculty members, invitations were extended and a group of seven members was assembled. The Working Group met regularly with Eisai/Pfizer clinicians and statisticians to discuss the data, identify issues that were currently of interest in the academic and clinical communities that might lend themselves to investigation using these data, and note gaps in understanding or knowledge of Alzheimer's disease that these data could address. Leadership was provided by the Pfizer Clinical Development team leader; Working Group members rotated responsibility for being lead and co-lead for each investigation and resultant publication.Results: Six manuscripts, each published in a leading subspecialty journal, resulted from the group's work. Another project resulted in poster presentations at international congresses and two were cancelled due to resource constraints.Conclusions: The experience represents a particular approach to optimising the value of data mining of large clinical trial databases for the combined purpose of furthering clinical research and improving patient care. Fruitful collaboration between industry and academia was fostered while the donepezil data repository was used to advance clinical and scientific knowledge. The Expert Working Group approach warrants consideration as a blueprint for conducting similar research ventures in the future. © 2011 Jones et al; licensee BioMed Central Ltd.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Jones, R
Wilkinson, D
Lopez, OLollopez@pitt.eduOLLOPEZ
Cummings, J
Waldemar, G
Zhang, R
Mackell, J
Gauthier, S
Date: 26 October 2011
Date Type: Publication
Journal or Publication Title: Trials
Volume: 12
DOI or Unique Handle: 10.1186/1745-6215-12-233
Schools and Programs: School of Medicine > Neurology
School of Medicine > Psychiatry
Refereed: Yes
Date Deposited: 26 Oct 2016 17:11
Last Modified: 01 Mar 2019 15:58


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