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Dataset Information

Assessing the Predictive Validity of Simple Dementia Risk Models in Harmonized Stroke Cohorts.


ABSTRACT:

Background and purpose

Stroke is associated with an increased risk of dementia. To assist in the early identification of individuals at high risk of future dementia, numerous prediction models have been developed for use in the general population. However, it is not known whether such models also provide accurate predictions among stroke patients. Therefore, the aim of this study was to determine whether existing dementia risk prediction models that were developed for use in the general population can also be applied to individuals with a history of stroke to predict poststroke dementia with equivalent predictive validity.

Methods

Data were harmonized from 4 stroke studies (follow-up range, ≈12-18 months poststroke) from Hong Kong, the United States, the Netherlands, and Fra

SUBMITTER: Tang EYH 

PROVIDER: S-EPMC7306263 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature