SynthesisThe journal of prevention of Alzheimer's disease2018
Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review.
Synthesis in The journal of prevention of Alzheimer's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Development and Concurrent Validity of the Short-Form CogDrisk Dementia Risk Assessment Tool.The journal of prevention of Alzheimer's disease · 2024Article
- The role of geographic information system and global positioning system in dementia care and research: a scoping review.International journal of health geographics · 2022Article
- Geographic Clusters of Alzheimer's Disease Mortality Rates in the USA: 2008-2012.The journal of prevention of Alzheimer's disease · 2018Article
- Alzheimer's Disease Dementia Prevalence in the United States: A County-Level Spatial Machine Learning Analysis.American journal of Alzheimer's disease and other dementiasArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Geographical information systems (GIS) and geospatial analysis techniques will help to identify significant dementia risk clusters (hotspots) across communities and will enable policy makers to target prevention interventions to the right place. This review synthesises the published literature on geospatial analysis techniques for quantifying and mapping dementia risk, and reviews available dementia risk assessment tools. A systematic literature review was undertaken in four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Sciences) from their inception to March 2017 for all articles relating to dementia. The search terms included: 'dementia', 'Alzheimer's disease', 'general practice database', 'family physician', 'AD risk assessment tools', 'Geographical Information Systems' and 'geospatial analysis', 'geographical variation' and 'spatial variation'. To date, most geospatial studies on dementia have been carried out retrospectively using population based data. An alternative approach is utilisation of a rich source of general practice (family physician) databases to predict dementia risk based on available dementia risk assessment tools. In conclusion, the estimated risks of dementia can thus be geo-attributed and mapped at a small scale using geographical information systems and geospatial analysis techniques to identify dementia risk clusters across the communities and refine our understanding of the interaction between socio-demographic and environmental factors, and dementia risk clusters. .
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Registered trials
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