Evidence map›Paper›PMID 35613781›Full record

ArticleBMJ open2022

Prevalence and patterns of multimorbidity in chronic diseases in Guangzhou, China: a data mining study in the residents' health records system among 31 708 community-dwelling elderly people.

Wei-Quan Lin, Le-Xin Yuan, Min-Ying Sun, Chang Wang, En-Min Liang, Yao-Hui Li, Lan Liu, Yun-Ou Yang, Di Wu, Guo-Zhen Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

11 authors at 3 institutions in 1 country.

Wei-Quan Lin *Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.ORCID 0000-0003-0484-1715
Le-Xin Yuan *Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China.
Min-Ying SunDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Chang WangDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
En-Min LiangSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China.
Yao-Hui LiDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Lan LiuDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Yun-Ou YangDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Di WuInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Guo-Zhen LinDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Hui LiuDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China gzcdc_liuhui@163.com.
Guangzhou Center for Disease Control and Prevention · CNGuangzhou Medical University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExamination of the prevalence, influence factors and patterns of multimorbidity among the elderly people in Guangzhou, China.

designCross-sectional study.

participants31 708 community-dwelling elderly people aged 65 and over. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence, influence factors and patterns of multimorbidity in seven chronic conditions among the participants. A multistage, stratified random sampling was adopted for selection of health records in the residents' health records system of Guangzhou. Data mining by association rule mining analysis was used to explore the correlations and multimorbidity patterns between seven chronic diseases.

resultsThe prevalence of morbidity was 55.0% (95% CI 40.1% to 60.1%) and the multimorbidity was 15.2% (95% CI 12.4% to 18.4%) among the participants. Elderly, women, higher education level, being single, living in urban areas and having medical insurance were more likely to have chronic diseases and multimorbidity. Data mining by association rule mining analysis reveals patterns of multimorbidity among the participants, including coexistence of hypertension and diabetes (support: 12.5%, confidence: 17.6%), hypertension and coronary heart disease (support: 4.4%, confidence: 5.7%), diabetes and coronary heart disease (support: 1.6%, confidence: 5.7%), diabetes, coronary heart disease and hypertension (support: 1.4%, confidence: 4.4%).

conclusionsA high prevalence of morbidity (especially on hypertension and diabetes) and a relatively low multimorbidity of chronic diseases exist in elderly people. Data mining of residents' health records will help for strengthening the management of residents' health records in community health service centres of Guangzhou, China.

Indexed as

Diabetes MellitusHypertensionAgedChinaChronic DiseaseCross-Sectional StudiesData MiningFemaleHumansIndependent LivingMultimorbidityPrevalencechronic diseasesdata miningelderly peoplepatterns of multimorbidity

Identifiers

PMID35613781
PMCPMC9134174
OpenAlexW4281477325

What OpenQuestion holds

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LicenceCC BY-NC
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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.