Evidence map›Paper›PMID 34893030›Full record

ArticleBMC neurology2021

Explore the correlation between cerebral vessel characteristics with cognitive impairment among elder individuals: a community study from China.

Wei-Wen Wu, Yang Wang, Jun Xu, Li-Xia Lu, Lin Chen, Gang Wu, Hui Yu

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 2 institutions in 1 country.

Wei-Wen WuDepartment of Neurology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China. weiwenwu0609@163.com.
Yang WangDepartment of Neurology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Jun XuDepartment of Radiology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Li-Xia LuDepartment of Neurology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Lin ChenDepartment of Neurology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Gang WuDepartment of Radiology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Hui YuDepartment of Neurology, Qingpu Branch of Zhongshan Hospital, Fudan University, 1158 Park East Road, Qingpu Town, Qingpu District, Shanghai, 201700, China.
Fudan University · CNZhongshan Hospital · CN

Funding

Shanghai Qingpu District Health and Health Committee NA
6 · The paper itself

Abstract

backgroundBrain Magnetic Resonance Imaging (MRI) examination of cerebral small vessel disease (CSVD) may help screen vascular cognitive impairment. A recently estimated CSVD score system was suggested to capture the overall CSVD burden. The study aimed to detect the association between systemic evaluation score of cerebral vascular imaging parameters with cognitive functions.

methodsThis was a cross-sectional study in community settings. From October 2017 to September 2018, elder (≧60) residents were recruited through on-site visit in 6 communities from Shanghai, China. The participants underwent brain MRI, carotid ultrasound, laboratory tests of blood and urine samples. Cognitive function was evaluated using Mini-Mental State Examination (MMSE). MRI score of CSVD was calculated according to the 2012 standard for the evaluation of statistical changes in imaging.

resultsTotal 171 subjects completed survey and examinations. There were 55 participants diagnosed with cognitive impairment, with a total percentage of 32.2%. Participants with and without cognitive impairment showed significant differences in age, BMI and education level. Cognitive impaired participant had more disease history/comorbidity of hypertension and chronic renal insufficiency, higher level of creatinine, as well as lower level of full blood count (FBC) and alanine aminotransferase (ALT). A significant difference was detected in CSVD score between participants with and without cognitive impairment. Results of linear regression analysis showed significant negative correlations between MMSE score and both left and right carotid artery peak systolic velocity (PSV), however the CSVD score was only borderline (P = 0.0566) positively correlated with MMSE. Multivariate linear correlation analysis including all collected risk factor data showed that left carotid artery PSV score was among the independent negative correlated factors of MMSE. Multivariate binary logistic analysis showed that age, education and history of hypertension were the only statistically associated factors of cognitive impairment.

conclusionsThe current study identified high prevalence of cognitive impairment in a Chinese community. In addition, correlations between cerebral vascular disease imaging status and cognitive functions were confirmed although the sample size limited the possibility of screening cognitive impairment with imaging technique.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionAgedChinaCross-Sectional StudiesHumansMental Status and Dementia TestsCerebral MRICSVD scoreLeft carotid artery peak systolic velocity (PSV)MMSEVascular dementia

Identifiers

PMID34893030
PMCPMC8665547
OpenAlexW4200192294

What OpenQuestion holds

Textmetadata
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.