The Vallecas Project: A cohort to identify early markers and mechanisms of Alzheimer's disease
Frontiers in Aging Neuroscience, ISSN: 1663-4365, Vol: 7, Issue: SEP, Page: 181
2015
- 33Citations
- 105Captures
- 5Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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- Citations33
- Citation Indexes29
- 29
- CrossRef3
- Policy Citations3
- Policy Citation3
- Clinical Citations1
- PubMed Guidelines1
- Captures105
- Readers105
- 105
- Mentions5
- News Mentions3
- News3
- Blog Mentions2
- Blog2
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Article Description
Introduction: Alzheimer's disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clinical, neuropsychological, structural, and biochemical markers) may predict dementia conversion, according to distinct physiopathological pathways, in different groups of subjects. Methods: We launched the Vallecas Project (VP), a cohort study of non-demented people aged 70-85, to characterize the social, clinical, neuropsychological, structural, and biochemical underpinnings of AD inception. Given the exploratory nature of the VP, multidimensional and machine learning techniques will be applied, in addition to the traditional multivariate statistical methods. Results: A total of 1169 subjects were recruited between October 2011 and December 2013. Mean age was 74.4 years (SD 3.9), 63.5% of the subjects were women, and 17.9% of the subjects were carriers of at least one e4 allele of the apolipoprotein E gene. Cognitive diagnoses at inclusion were as follows: normal cognition 93.0% and mild cognitive impairment (MCI) 7.0% (3.1% amnestic MCI, 0.1% non-amnestic MCI, 3.8% mixed MCI). Blood samples were obtained and stored for future determinations in 99.9% of the subjects and 3T magnetic resonance imaging study was conducted in 89.9% of the volunteers. The cohort is being followed up annually for 4 years after the baseline. Conclusion: We have established a valuable homogeneous single-center cohort which, by identifying groups of variables associated with high risk of MCI or dementia conversion, should help to clarify the early physiopathological mechanisms of AD and should provide avenues for prompt diagnosis and AD prevention.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84946544803&origin=inward; http://dx.doi.org/10.3389/fnagi.2015.00181; http://www.ncbi.nlm.nih.gov/pubmed/26483681; http://journal.frontiersin.org/Article/10.3389/fnagi.2015.00181/abstract; https://dx.doi.org/10.3389/fnagi.2015.00181; https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2015.00181/full; https://www.frontiersin.org/articles/10.3389/fnagi.2015.00181/full; http://journal.frontiersin.org/article/10.3389/fnagi.2015.00181/full
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