ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
A robust harmonization approach for cognitive data from multiple aging and dementia cohorts.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 3 citations in OpenAlex.
- Defining and Measuring Cognitive Decline and Clinical Relevance.Neurology and therapy · 2026Review
- Bidirectional data harmonization across the multiple chronic disease disparities research consortium: A pipeline description of opportunities and challenges.Journal of biomedical informatics · 2026Article
- Solving the 'Goldilocks problem' in dementia clinical trials with multimodal AI.The journal of prevention of Alzheimer's disease · 2025Article
- Cognitive data harmonization across two racially diverse cohorts in the United States.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2025Article
- Cross-national comparisons of later-life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- A robust harmonization approach for cognitive data from multiple aging and dementia cohorts.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
16 authors at 8 institutions in 4 countries.
Funding
Abstract
introductionAlthough 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.
methodsWe 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.
resultsWe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.