ArticleFrontiers in medicine2018
Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy.
Article in Frontiers in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- Unresolved ethical questions of mHealth apps for Alzheimer's disease prevention.Medicine, health care, and philosophy · 2025Article
- GATEKEEPER's Strategy for the Multinational Large-Scale Piloting of an eHealth Platform: Tutorial on How to Identify Relevant Settings and Use Cases.Journal of medical Internet research · 2023Article
- Conceptualizing healthy cognitive aging: the role of time and variability.Frontiers in human neuroscience · 2023Article
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- International data governance for neuroscience.Neuron · 2022Review
- Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners.BMC medical informatics and decision making · 2021Article
- Article
- Ethical Issues in Consent for the Reuse of Data in Health Data Platforms.Science and engineering ethics · 2021Article
- Article
- Subtle mistakes in self-report surveys predict future transition to dementia.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Neuropsychological Equivalence of the Clinical Diagnosis of Mild Cognitive Impairment in the National Alzheimer's Coordinating Center Uniform Data Set and Alzheimer's Disease Neuroimaging Initiative.Dementia and geriatric cognitive disorders · 2021Article
- Shaping a data-driven era in dementia care pathway through computational neurology approaches.BMC medicine · 2020Review
- Hospitalization and Socio-Health Care for Dementia in Spain.Journal of clinical medicine · 2020Article
- Big Data, Biomedical Research, and Ethics Review: New Challenges for IRBs.Ethics & human research · 2020Article
- Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study.JMIR medical informatics · 2020Article
- Ethical and Regulatory Issues for Embedded Pragmatic Trials Involving People Living with Dementia.Journal of the American Geriatrics Society · 2020Article
- Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis.JMIR mHealth and uHealth · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging trends in pervasive computing and medical informatics are creating the possibility for large-scale collection, sharing, aggregation and analysis of unprecedented volumes of data, a phenomenon commonly known as big data. In this contribution, we review the existing scientific literature on big data approaches to dementia, as well as commercially available mobile-based applications in this domain. Our analysis suggests that big data approaches to dementia research and care hold promise for improving current preventive and predictive models, casting light on the etiology of the disease, enabling earlier diagnosis, optimizing resource allocation, and delivering more tailored treatments to patients with specific disease trajectories. Such promissory outlook, however, has not materialized yet, and raises a number of technical, scientific, ethical, and regulatory challenges. This paper provides an assessment of these challenges and charts the route ahead for research, ethics, and policy.
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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.