Risk of conversion from mild cognitive impairment to dementia in low‐ and middle‐income countries: A systematic review and meta‐analysis

McGrattan, Andrea M., Pakpahan, Eduwin, Siervo, Mario, Mohan, Devi, Reidpath, Daniel D., Prina, Matthew, Allotey, Pascale, Zhu, Yueping, Shulin, Chen, Yates, Jennifer, Paddick, Stella‐Maria, Robinson, Louise, Stephan, Blossom C. M. and the DePEC team, (2022) Risk of conversion from mild cognitive impairment to dementia in low‐ and middle‐income countries: A systematic review and meta‐analysis. Alzheimer's & Dementia: Translational Research & Clinical Interventions, 8 (1). e12267. ISSN 2352-8737

trc2.12267.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview
Official URL: https://doi.org/10.1002/trc2.12267


Abstract: Introduction: With no treatment for dementia, there is a need to identify high risk cases to focus preventive strategies, particularly in low‐ and middle‐income countries (LMICs) where the burden of dementia is greatest. We evaluated the risk of conversion from mild cognitive ompairment (MCI) to dementia in LMICs. Methods: Medline, Embase, PsycINFO, and Scopus were searched from inception until June 30, 2020. The search was restricted to observational studies, conducted in population‐based samples, with at least 1 year follow‐up. There was no restriction on the definition of MCI used as long as it was clearly defined. PROSPERO registration: CRD42019130958. Results: Ten thousand six hundred forty‐seven articles were screened; n = 11 retained. Of the 11 studies, most were conducted in China (n = 7 studies), with only two studies from countries classified as low income. A qualitative analysis of n = 11 studies showed that similar to high‐income countries the conversion rate to dementia from MCI was variable (range 6 . $.$ 0%–44 . $.$ 8%; average follow‐up 3 . $.$ 7 years [standard deviation = 1 . $.$ 2]). A meta‐analysis of studies using Petersen criteria (n = 6 studies), found a pooled conversion rate to Alzheimer's disease (AD) of 23 . $.$ 8% (95% confidence interval = 15 . $.$ 4%–33.4%); approximately one in four people with MCI were at risk of AD in LMICs (over 3 . $.$ 0–5 . $.$ 8 years follow‐up). Risk factors for conversion from MCI to dementia included demographic (e.g., age) and health (e.g., cardio‐metabolic disease) variables. Conclusions: MCI is associated with high, but variable, conversion to dementia in LMICs and may be influenced by demographic and health factors. There is a notable absence of data from low‐income settings and countries outside of China. This highlights the urgent need for research investment into aging and dementia in LMIC settings. Being able to identify those individuals with cognitive impairment who are at highest risk of dementia in LMICs is necessary for the development of risk reduction strategies that are contextualized to these unique settings.

Item Type: Article
Additional Information: Funding information: National Institute for Health Research (NIHR) Global Group. Grant Number: DePEC 16/137/62
Uncontrolled Keywords: dementia, low‐ and middle‐income countries, mild cognitive impairment, risk factors
Subjects: A900 Others in Medicine and Dentistry
B100 Anatomy, Physiology and Pathology
C800 Psychology
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 21 Mar 2022 11:57
Last Modified: 21 Mar 2022 12:00
URI: http://nrl.northumbria.ac.uk/id/eprint/48713

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics