ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025
Dementia Data Landscape 1. Cohorts.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Dementia Data Landscape 1. Cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionUnderstanding 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.
methodPubMed 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.
resultsFrom 4596 publications and 11 data platforms, 883 cohorts were identified (558 population and 325 clinical). Of these, 74% indicated data availability for future research, though metadata reporting varied. Cohort metadata are accessible via the landscape tool. DISCUSSION: This work reveals extensive global dementia-related data for repurposing and identifies priority areas for improvement, including metadata transparency, data accessibility, and locations to prioritize for future research. HIGHLIGHTS: A total of 883 cohorts were identified globally (1970 to 2024): 558 population and 325 clinical The Global South is substantially underrepresented Seventy-four percent of cohorts offer data access, but protocols and metadata quality vary widely Only 45% of cohorts were discoverable via existing data platforms The online landscape tool enables strategic discovery and reuse of dementia data.
Indexed as
Identifiers
What OpenQuestion holds
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.