Prediction of dementia risk in low-income and middle-income countries (the 10/66 Study): an independent external validation of existing models

• Main Authors: Blossom C M Stephan, PhD (Author), Eduwin Pakpahan, PhD (Author), Mario Siervo, PhD (Author), Silvan Licher, MD (Author), Graciela Muniz-Terrera, PhD (Author), Devi Mohan, MD (Author), Daisy Acosta, MD (Author), Guillermina Rodriguez Pichardo, MIM (Author), Ana Luisa Sosa, PhD (Author), Isaac Acosta, PhD (Author), Juan J Llibre-Rodriguez, PhD (Author), Martin Prince, PhD (Author), Louise Robinson, MD (Author), Matthew Prina, PhD (Author)
• Format: Book
• Published: Elsevier, 2020-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary: Background: To date, dementia prediction models have been exclusively developed and tested in high-income countries (HICs). However, most people with dementia live in low-income and middle-income countries (LMICs), where dementia risk prediction research is almost non-existent and the abili...