ReviewFrontiers in epidemiology2024
Dementia risk prediction modelling in low- and middle-income countries: current state of evidence.
Review in Frontiers in epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating the Use of Anxiety Patient-Reported Outcome Measures (PROMs) in Dementia Clinical Trials: A Systematic Review.Health expectations : an international journal of public participation in health care and health policy · 2026Pooled it
- Smartphone App-Based Psychoeducation for Caregivers of People with Dementia in Vietnam: A Pilot Randomized Controlled Trial.Clinical interventions in aging · 2025Trial
- Neuronal Biomarkers and Micronutrient Status in Adults with Mild Cognitive Impairment.Nutrients · 2026Article
- Association of micronutrient levels with dementia risk in adults in Telangana, India: a cross-sectional study (2023-2024).The Lancet regional health. Southeast Asia · 2026Article
- Physical activity and exercise in dementia: clinical relevance and emerging insights.Frontiers in dementia · 2026Review
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dementia is a leading cause of death and disability with over 60% of cases residing in low- and middle-income countries (LMICs). Therefore, new strategies to mitigate risk are urgently needed. However, despite the high burden of disease associated with dementia in LMICs, research into dementia risk profiling and risk prediction modelling is limited. Further, dementia risk prediction models developed in high income countries generally do not transport well to LMICs suggesting that context-specific models are instead needed. New prediction models have been developed, in China and Mexico only, with varying predictive accuracy. However, none has been externally validated or incorporated variables that may be important for predicting dementia risk in LMIC settings such as socio-economic status, literacy, healthcare access, nutrition, stress, pollutants, and occupational hazards. Since there is not yet any curative treatment for dementia, developing a context-specific dementia prediction model is urgently needed for planning early interventions for vulnerable groups, particularly for resource constrained LMIC settings.
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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.