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Open Access
Peer-reviewed
Research Article
Identifying individuals at high risk for dementia in primary care: Development and validation of the DemRisk risk prediction model using routinely collected patient data
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David Reeves ,
Contributed equally to this work with: David Reeves, Catharine Morgan
Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
* E-mail: david.reeves@manchester.ac.uk
Affiliations Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom, Division of Population Health, Centre for Biostatistics, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
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Catharine Morgan ,
Contributed equally to this work with: David Reeves, Catharine Morgan
Roles Data curation, Formal analysis, Methodology, Resources, Software, Writing – original draft, Writing – review & editing
Affiliation Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
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Daniel Stamate,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Writing – review & editing
Affiliations Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom, Computing Department, Goldsmiths, University of London, London, United Kingdom
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Elizabeth Ford,
Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing
Affiliation Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
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Darren M. Ashcroft,
Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing
Affiliations Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom, Division of Pharmacy and Optometry, NIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, United Kingdom, Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
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Evangelos Kontopantelis,
Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing
Affiliations Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
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Harm Van Marwijk,
Roles Conceptualization, Funding acquisition, Writing – review & editing
Affiliation Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
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Brian McMillan
Roles Methodology, Resources, Writing – review & editing
Affiliation Division of Population Health, NIHR School for Primary Care Research, Centre for Primary Care, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
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Identifying individuals at high risk for dementia in primary care: Development and validation of the DemRisk risk prediction model using routinely collected patient data
- David Reeves,
- Catharine Morgan,
- Daniel Stamate,
- Elizabeth Ford,
- Darren M. Ashcroft,
- Evangelos Kontopantelis,
- Harm Van Marwijk,
- Brian McMillan
- Published: October 4, 2024
- https://doi.org/10.1371/journal.pone.0310712