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Statistical power was estimated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The harmonized database included 7779 participants with clinical\/cognitive data: 3542 were 18\u223c65\u00a0years at the baseline, 5865 had longitudinal cognitive data for a median of 4.7\u00a0years, 2473 participated in the cerebrospinal fluid studies (906 had longitudinal data), 2496 participated in the magnetic resonance imaging studies (1283 had longitudinal data), and 1498 participated in the positron emission tomography amyloid studies (849 had longitudinal data). The database provides adequate power for detecting early biomarker changes, and demonstrates the feasibility of AD prevention trials on middle\u2010aged individuals.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>The harmonized database is an optimum resource to design AD prevention trials decades before symptomatic onset.<\/jats:p><\/jats:sec>","DOI":"10.1016\/j.jalz.2019.06.4955","type":"journal-article","created":{"date-parts":[[2019,9,7]],"date-time":"2019-09-07T07:14:58Z","timestamp":1567840498000},"page":"1448-1457","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A harmonized longitudinal biomarkers and cognition database for assessing the natural history of preclinical Alzheimer's disease from young adulthood and for designing prevention trials"],"prefix":"10.1002","volume":"15","author":[{"given":"Chengjie","family":"Xiong","sequence":"first","affiliation":[{"name":"Division of 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