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Christian Schnier

Researcher at University of Edinburgh

Publications -  41
Citations -  646

Christian Schnier is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Dementia & Medicine. The author has an hindex of 8, co-authored 29 publications receiving 267 citations.

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Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data.

TL;DR: The positive predictive value (PPV) for all-cause dementia, Alzheimer’s disease and vascular dementia for each dataset alone and in combination, and algorithmic code combinations to improve PPV are calculated and three algorithms that balanced a high PPV with reasonable case ascertainment are identified.
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Identifying dementia cases with routinely collected health data: A systematic review.

TL;DR: This work evaluated the accuracy of data sets used for dementia case identification inspective, population‐based studies through linkage to routinely collected, coded health‐care data sets.
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The accuracy of using administrative healthcare data to identify epilepsy cases: A systematic review of validation studies.

TL;DR: It is concluded that it is reasonable to use administrative data to identify people with epilepsy (PWE) in epidemiological research, and the use of AEDs alone to identify PWE is cautioned against.
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The Dementias Platform UK (DPUK) Data Portal

Sarah Bauermeister, +65 more
TL;DR: The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts and projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses.
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The diagnosis, burden and prognosis of dementia: A record-linkage cohort study in England.

TL;DR: Most people with a record of dementia in linked UK EHR had some corroborating evidence for diagnosis and the estimated 10-year risk of dementia was higher than published population-based estimations, suggesting EHR are a promising source of data for dementia research.