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Fiona E. Matthews

Researcher at Newcastle University

Publications -  376
Citations -  34047

Fiona E. Matthews is an academic researcher from Newcastle University. The author has contributed to research in topics: Population & Dementia. The author has an hindex of 79, co-authored 349 publications receiving 28215 citations. Previous affiliations of Fiona E. Matthews include University of London & University of Cambridge.

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Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease

Jean-Charles Lambert, +215 more
- 01 Dec 2013 - 
TL;DR: In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer's disease.
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Potential for primary prevention of Alzheimer's disease: an analysis of population-based data

TL;DR: Around a third of Alzheimer's diseases cases worldwide might be attributable to potentially modifiable risk factors, and Alzheimer's disease incidence might be reduced through improved access to education and use of effective methods targeted at reducing the prevalence of vascular risk factors.
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Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales

TL;DR: Alleged Alzheimer-type and vascular pathology were the major pathological correlates of cognitive decline in this elderly sample, as expected, but most patients had mixed disease, challenging conventional dementia diagnostic criteria in this setting.
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The COVID-19 pandemic and health inequalities.

TL;DR: The potential consequences for health inequalities of the lockdown measures implemented internationally as a response to the COVID-19 pandemic are explored, focusing on the likely unequal impacts of the economic crisis.
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Prevalence of autism-spectrum conditions: UK school-based population study

TL;DR: Different methods are used to estimate the prevalence of autism-spectrum conditions, including previously undiagnosed cases, in Cambridgeshire, and the ratio of known:unknown cases is about 3:2 (following statistical weighting procedures).