Cargando…
Accuracy of routinely-collected healthcare data for identifying motor neurone disease cases: A systematic review
BACKGROUND: Motor neurone disease (MND) is a rare neurodegenerative condition, with poorly understood aetiology. Large, population-based, prospective cohorts will enable powerful studies of the determinants of MND, provided identification of disease cases is sufficiently accurate. Follow-up in many...
Autores principales: | Horrocks, Sophie, Wilkinson, Tim, Schnier, Christian, Ly, Amanda, Woodfield, Rebecca, Rannikmäe, Kristiina, Quinn, Terence J., Sudlow, Cathie L. M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330471/ https://www.ncbi.nlm.nih.gov/pubmed/28245254 http://dx.doi.org/10.1371/journal.pone.0172639 |
Ejemplares similares
-
Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review
por: Harding, Zoe, et al.
Publicado: (2019) -
Identifying dementia cases with routinely collected health data: A systematic review
por: Wilkinson, Tim, et al.
Publicado: (2018) -
Validation of dementia coding in hospital admissions, death and primary care data
por: Wilkinson, Tim, et al.
Publicado: (2017) -
Drug prescriptions and dementia incidence: a medication-wide association study of 17000 dementia cases among half a million participants
por: Wilkinson, Tim, et al.
Publicado: (2022) -
Accuracy of identifying incident stroke cases from linked health care data in UK Biobank
por: Rannikmäe, Kristiina, et al.
Publicado: (2020)