Dementia Data Landscape 1. Cohorts.

ABSTRACT:

Introduction

Understanding and maximizing complex health data is crucial for accelerating discovery, translational research, funding priorities, and improving data management. Rapid, cost-effective progress can be made by repurposing datasets. This work explores the dementia cohort landscape, identifies cohorts relevant to dementia translation, and highlights areas to strengthen health cohort infrastructure.

Method

PubMed was searched for publications utilizing dementia-related cohorts (1970-2024), supplemented by international dementia data platforms. A template aligned with the C-Surv data model was used to summarize administrative details and the presence of measurements across 17 themes.

Results

From 4596 publications and 11 data platforms, 883 cohorts were identi

SUBMITTER: Morgan A 

PROVIDER: S-EPMC12635862 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature