دورية أكاديمية
A robust harmonization approach for cognitive data from multiple aging and dementia cohorts
| العنوان: | A robust harmonization approach for cognitive data from multiple aging and dementia cohorts |
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| المؤلفون: | Joseph Giorgio, Ankeet Tanna, Maura Malpetti, Simon R. White, Jingshen Wang, Suzanne Baker, Susan Landau, Tomotaka Tanaka, Christopher Chen, James B. Rowe, John O'Brien, Jurgen Fripp, Michael Breakspear, William Jagust, Zoe Kourtzi, for the Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle flagship study |
| المصدر: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 15, Iss 3, Pp n/a-n/a (2023) |
| بيانات النشر: | Wiley, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Neurology. Diseases of the nervous system LCC:Geriatrics |
| مصطلحات موضوعية: | Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6 |
| الوصف: | Abstract INTRODUCTION Although many cognitive measures have been developed to assess cognitive decline due to Alzheimer's disease (AD), there is little consensus on optimal measures, leading to varied assessments across research cohorts and clinical trials making it difficult to pool cognitive measures across studies. METHODS We used a two‐stage approach to harmonize cognitive data across cohorts and derive a cross‐cohort score of cognitive impairment due to AD. First, we pool and harmonize cognitive data from international cohorts of varying size and ethnic diversity. Next, we derived cognitive composites that leverage maximal data from the harmonized dataset. RESULTS We show that our cognitive composites are robust across cohorts and achieve greater or comparable sensitivity to AD‐related cognitive decline compared to the Mini‐Mental State Examination and Preclinical Alzheimer Cognitive Composite. Finally, we used an independent cohort validating both our harmonization approach and composite measures. DISCUSSION Our easy to implement and readily available pipeline offers an approach for researchers to harmonize their cognitive data with large publicly available cohorts, providing a simple way to pool data for the development or validation of findings related to cognitive decline due to AD. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-8729 |
| Relation: | https://doaj.org/toc/2352-8729 |
| DOI: | 10.1002/dad2.12453 |
| URL الوصول: | https://doaj.org/article/d8e30f2fee144d5b8acf3962a6c8586e |
| رقم الأكسشن: | edsdoj.8e30f2fee144d5b8acf3962a6c8586e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23528729 |
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| DOI: | 10.1002/dad2.12453 |