Evidence map›Paper›PMID 35310524›Full record

ReviewAlzheimer's & dementia (New York, N. Y.)2022

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

Andrea M McGrattan, Eduwin Pakpahan, Mario Siervo, Devi Mohan, Daniel D Reidpath, Matthew Prina, Pascale Allotey, Yueping Zhu, Chen Shulin, Jennifer Yates and 4 more

Abstract readReview
In one paragraph

Review in Alzheimer's & dementia (New York, N. Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Social cognition in mild cognitive impairment and dementia: A systematic review and meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
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  10. The Cog-Aging: a 15-year cohort study of cognition in Brazilian older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Andrea M McGrattanSchool of Biomedical, Nutritional and Sports Sciences, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne UK.
Eduwin PakpahanDepartment Mathematics, Physics and Electrical Engineering Northumbria University Newcastle upon Tyne UK.
Mario SiervoSchool of Life Sciences The University of Nottingham Medical School Nottingham UK.
Devi MohanGlobal Public Health Jeffrey Cheah School of Medicine and Health Sciences Monash University Malaysia Subang Jaya Malaysia.
Daniel D ReidpathGlobal Public Health Jeffrey Cheah School of Medicine and Health Sciences Monash University Malaysia Subang Jaya Malaysia.
Matthew PrinaDepartment of Health Service and Population Research King's College London London UK.
Pascale AlloteyGlobal Public Health Jeffrey Cheah School of Medicine and Health Sciences Monash University Malaysia Subang Jaya Malaysia.
Yueping ZhuDepartment of Psychology and Behavioural Sciences Zhejiang University Hangzhou China.
Chen ShulinDepartment of Psychology and Behavioural Sciences Zhejiang University Hangzhou China.
Jennifer YatesInstitute of Mental Health Nottingham University Nottingham UK.
Stella-Maria PaddickTranslational and Clinical Research Institute Newcastle University Newcastle upon Tyne UK.
Louise RobinsonPopulation Health Sciences Institute Newcastle University Newcastle upon Tyne UK.
Blossom C M StephanInstitute of Mental Health Nottingham University Nottingham UK.
DePEC team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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; 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.

Indexed as

dementialow‐ and middle‐income countriesmild cognitive impairmentrisk factors

Identifiers

PMID35310524
PMCPMC8918697

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.