Evidence map›Paper›PMID 32684617›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Analysis of Risk Factors for Cognitive Dysfunction in Disabled Elderly Patients in Chengdu, China.

Xiaoyan Chen, Ying Zhang, Lisha Hou, Yanjiao Shen, Jianqun Li, Birong Dong

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Xiaoyan ChenCollaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College, Chengdu, Sichuan, China (mainland).
Ying ZhangCollaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College, Chengdu, Sichuan, China (mainland).
Lisha HouCollaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College, Chengdu, Sichuan, China (mainland).
Yanjiao ShenSleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Jianqun LiHospital Affiliated to Southwest Medical University, Luzhou, Sichuan, China (mainland).
Birong DongCollaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College, Chengdu, Sichuan, China (mainland).
Chengdu Medical College · CNAffiliated Hospital of Southwest Medical University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND With the aging population comes an increase in functional disability that leads to dependency and institutionalization, as well as social, medical, and economic challenges. This study aimed to classify and assess the factors affecting cognitive deficits in disabled elderly people. MATERIAL AND METHODS Disabled patients ≥60 years old were assessed by face-to-face cross-sectional surveys, which were conducted using advanced peer-to-peer software. The ability to perform daily life tasks was assessed using the Modified Barthel Index. Cognitive function was evaluated with the Mini-cognitive assessment instrument. Using these surveys, 9471 individuals were included in this study. The rank-sum test was used to investigate differences between groups. Disordered multi-class logistic regression was used to correct related confounding factors for multivariate analysis. RESULTS The ratios of normal cognitive function, cognitive impairment, and dementia were 3.71%, 38.59%, and 57.70%, respectively. The univariate analysis and multivariate analysis showed that older individuals (≥80 years), women, illiterate individuals, and lonely persons were more prone to dementia. Moreover, a history of hypertension, diabetes, osteoporosis, and fractures were significantly associated with dementia. CONCLUSIONS The proportion of dementia in the elderly disabled patients is very high (57.7%) in Chengdu City. Age (≥80 years), female sex, education level (illiterate individuals), living conditions, and chronic disease were closely correlated with cognitive functions.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAge FactorsChinaChronic DiseaseCognition DisordersCognitive DysfunctionCross-Sectional StudiesDementiaFemaleHumansMaleMiddle AgedPersons with DisabilitiesRisk Factors

Identifiers

PMID32684617
PMCPMC7370575
OpenAlexW3025250417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.