Title |
The DIAN‐TU Next Generation Alzheimer's prevention trial: Adaptive design and disease progression model
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Published in |
Alzheimer's & Dementia: the Journal of the Alzheimer's Association, August 2016
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DOI | 10.1016/j.jalz.2016.07.005 |
Pubmed ID | |
Authors |
Randall J. Bateman, Tammie L. Benzinger, Scott Berry, David B. Clifford, Cynthia Duggan, Anne M. Fagan, Kathleen Fanning, Martin R. Farlow, Jason Hassenstab, Eric M. McDade, Susan Mills, Katrina Paumier, Melanie Quintana, Stephen P. Salloway, Anna Santacruz, Lon S. Schneider, Guoqiao Wang, Chengjie Xiong, the DIAN‐TU Pharma Consortium for the Dominantly Inherited Alzheimer Network |
Abstract |
The Dominantly Inherited Alzheimer Network Trial Unit (DIAN-TU) is an adaptive platform trial testing multiple drugs to slow or prevent the progression of Alzheimer's disease in autosomal dominant Alzheimer's disease (ADAD) families. With completion of enrollment of the first two drug arms, the DIAN-TU now plans to add new drugs to the platform, designated as the Next Generation (NexGen) prevention trial. In collaboration with ADAD families, philanthropic organizations, academic leaders, the DIAN-TU Pharma Consortium, the National Institutes of Health, and regulatory colleagues, the DIAN-TU developed innovative clinical study designs for the DIAN-TU NexGen prevention trial. Our expanded trial toolbox consists of a disease progression model for ADAD, primary end point DIAN-TU cognitive performance composite, biomarker development, self-administered cognitive assessments, adaptive dose adjustments, and blinded data collection through the last participant completion. These steps represent elements to improve efficacy of the adaptive platform trial and a continued effort to optimize prevention and treatment trials in ADAD. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 25% |
United Kingdom | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 88% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 269 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 53 | 20% |
Student > Ph. D. Student | 42 | 16% |
Student > Master | 25 | 9% |
Student > Bachelor | 24 | 9% |
Other | 18 | 7% |
Other | 42 | 16% |
Unknown | 65 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 52 | 19% |
Neuroscience | 36 | 13% |
Biochemistry, Genetics and Molecular Biology | 18 | 7% |
Psychology | 12 | 4% |
Agricultural and Biological Sciences | 11 | 4% |
Other | 63 | 23% |
Unknown | 77 | 29% |