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The prevalence and progression of mild cognitive impairment among clinic and community populations: a systematic review and meta-analysis

Published online by Cambridge University Press:  15 June 2017

Chengping Hu
Affiliation:
Pudong New District Mental Health Center, Shanghai, China
Donghai Yu
Affiliation:
Pudong New District Health Bureau, Shanghai, China
Xirong Sun
Affiliation:
Pudong New District Mental Health Center, Shanghai, China
Ming Zhang
Affiliation:
Department of Psychiatric Control & Preventation, Pudong New District Mental Health Center, Shanghai, China
Lin Wang
Affiliation:
Pudong New District Mental Health Center, Shanghai, China
Hongyun Qin*
Affiliation:
Department of Psychiatric Control & Preventation, Pudong New District Mental Health Center, Shanghai, China
*
Correspondence should be addressed to: Hongyun Qin, Department of Psychiatric Control & Preventation, Pudong New District Mental Health Center, No. 165 Sanlin Road, Shanghai, China. Phone/Fax: +86 021-68306699. E-mail: qinhongyun07@163.com.

Abstract

Background:

It has been reported that up to 42% of the population aged over 60 are affected by mild cognitive impairment (MCI) worldwide. This study aims to investigate the prevalence and progression of MCI through a meta-analysis.

Methods:

We searched Embase and PubMed for relevant literature. Stable disease rate (SR), reversion rate (RR), dementia rate (DR), and Alzheimer's disease rate (AR) were used to evaluate the progression of MCI. The prevalence and progression rates were both obtained by reported percentile and indirect data analysis. Additionally, we carried out sensitivity analysis of each index by excluding some studies due to influence analysis with the most publication bias.

Results:

Effect size (ES) was used to present adjusted overall prevalence (16%) and progression rates including SR (45%), RR (15%), DR (34%), and AR (28%) of MCI. Compared with clinic-based outcomes, MCI prevalence, SR, and RR are significantly higher in community, while DR and AR are lower. Despite significant heterogeneity found among the studies, no publication bias was observed.

Conclusions:

Age and gender were observed to be associated with MCI, in which age was considered as an impact factor for DR. The strong heterogeneity may result from variations in study design and baselines. Standardized MCI criteria were suggested to systematically evaluate MCI in the future.

Type
Review Article
Copyright
Copyright © International Psychogeriatric Association 2017 

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Footnotes

*

Chengping Hu and Donghai Yu contributed equally to this work.

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