Core C: DMS Core Abstract: The Data Management and Statistics (DMS) Core facilitates research and collaborations with NACC initiatives and others by providing high quality data management and methodological support. The University of Pittsburgh Alzheimer's Disease Research Center (PITT-ADRC) has compiled a database that includes information about more than 4000 participants collected over 25 years. The DMS Core works with PITT-ADRC personnel to maximize data completeness and accuracy by developing systems with sophisticated quality control measures for capturing and computerizing data and for facilitating the work of Core and Project personnel, e.g., developing and implementing a Scheduling and Tracking System for the Clinical Core, a Participant Lookup System used by the Neuropathology and Clinical Cores, and a Specimen Tracking System for the Neurogenetics Core. DMS Core personnel also support authorized users of the PITT-ADRC database by preparing reports, creating datasets used for analyses, providing programming and analytical consultation and support, and serving as Honest Broker to obtain protected data for authorized investigators. To contribute to the educational mission of the PITT-ADRC, and to encourage wider dissemination of PITT- ADRC data, the DMS Core proposes two new initiatives in this funding period. The first is to continue developing the SHared Alzheimer's REgistry (SHARE)] database that contains a subset of the extensive data collected about participants, focusing on our strengths of neuropsychological and detailed psychiatric assessments - the latter being unique to the PITT-ADRC. The second is to develop a system that will allow users with approved access to query the SQL server database to facilitate and expand its use.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005133-36
Application #
9686536
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
2021-03-31
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
36
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15260
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Karim, Helmet T; Wang, Maxwell; Andreescu, Carmen et al. (2018) Acute trajectories of neural activation predict remission to pharmacotherapy in late-life depression. Neuroimage Clin 19:831-839
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Kamboh, M Ilyas (2018) A Brief Synopsis on the Genetics of Alzheimer's Disease. Curr Genet Med Rep 6:133-135
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
La Joie, Renaud; Ayakta, Nagehan; Seeley, William W et al. (2018) Multisite study of the relationships between antemortem [11C]PIB-PET Centiloid values and postmortem measures of Alzheimer's disease neuropathology. Alzheimers Dement :
Rodakowski, Juleen; Reynolds 3rd, Charles F; Lopez, Oscar L et al. (2018) Developing a Non-Pharmacological Intervention for Individuals With Mild Cognitive Impairment. J Appl Gerontol 37:665-676
Pottier, Cyril; Zhou, Xiaolai; Perkerson 3rd, Ralph B et al. (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548-558

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