Evidence map›Paper›PMID 34790888›Full record

ArticleGeneral psychiatry2021

Urban-rural disparities in mild cognitive impairment and its functional subtypes among community-dwelling older residents in central China.

Dan Liu, Lin Li, Lina An, Guirong Cheng, Cong Chen, Mingjun Zou, Bo Zhang, Xuguang Gan, Lang Xu, Yangming Ou and 3 more

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  19. Alzheimer's disease diagnosis and management: Perspectives from around the world.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022
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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

13 authors at 2 institutions in 1 country.

Dan LiuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Lin LiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Lina AnXiangyang Center for Disease Control and Prevention, Xiangyang, Hubei, China.
Guirong ChengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Cong ChenBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Mingjun ZouBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Bo ZhangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xuguang GanBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Lang XuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Yangming OuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Qingming WuTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Ru WangChina Resources and WISCO General Hospital, Wuhan, Hubei, China.
Yan ZengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Wuhan University of Science and Technology · CNChina Resources (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubstantial variations in the prevalence of mild cognitive impairment (MCI) and its subtypes have been reported, although mostly in geographically defined developed countries and regions. Less is known about MCI and its subtypes in rural areas of less developed central China.

aimsThe study aimed to compare the prevalence of MCI and its subtypes in residents aged 65 years or older in urban and rural areas of Hubei Province, China.

methodsParticipants aged 65 years or older were recruited between 2018 and 2019. Inperson structured interviews and clinical and neuropsychological assessments were performed at city health community centres and township hospitals.

resultsAmong 2644 participants without dementia, 735 had MCI, resulting in a prevalence of 27.8% for total MCI, 20.9% for amnestic MCI (aMCI) and 6.9% for non-amnestic MCI (naMCI). The prevalence of MCI in urban and rural areas was 20.2% and 44.1%, respectively. After adjusting for demographic factors, the prevalence of total MCI, aMCI and naMCI differed significantly between rural and urban areas (adjusted odds ratio (OR) 2.10, 1.44 and 3.76, respectively). Subgroup analysis revealed an association between rural socioeconomic and lifestyle disadvantage and MCI and its subtypes.

conclusionsOur findings suggest that the prevalence of MCI among urban residents in central China is consistent with that in other metropolis areas, such as Shanghai, but the prevalence in rural areas is twice that in urban areas. Prospective studies and dementia prevention in China should focus on rural areas.

Indexed as

brief psychiatric rating scalecohort studiesneurocognitive disordersrisk factors

Identifiers

PMID34790888
PMCPMC8557279
OpenAlexW3209049682

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.