Evidence map›Paper›PMID 35906390›Full record

ArticleScientific reports2022

Metabolic syndrome in patients with first-ever ischemic stroke: prevalence and association with coronary heart disease.

Yajun Liang, Zhongrui Yan, Yanlei Hao, Qiqi Wang, Zuoji Zhang, Rui She, Peng Wang, Yifeng Du, Joseph Tf Lau, Joost Dekker and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% 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, 22 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

12 authors at 8 institutions in 3 countries.

Yajun LiangAging Research Center & Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Tomtebodavägen 18A, 17165, Stockholm, Sweden.
Zhongrui YanDepartment of Neurology, Jining No. 1 People's Hospital, Jining, Shandong, China.
Yanlei HaoThe Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Qiqi WangOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Zuoji ZhangJining Medical University, Hehua Road 133, Taibaihu New District, Jining, 272067, Shandong, China.
Rui SheJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Peng WangDepartment of Neurology, Jining No. 1 People's Hospital, Jining, Shandong, China.
Yifeng DuDepartment of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Joseph Tf LauJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Joost DekkerDepartment of Psychiatry and Department of Rehabilitation Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
Bo BaiJining Medical University, Hehua Road 133, Taibaihu New District, Jining, 272067, Shandong, China. bbai@mail.jnmc.edu.cn.
Chengxuan QiuAging Research Center & Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Tomtebodavägen 18A, 17165, Stockholm, Sweden. chengxuan.qiu@ki.se.
Chinese University of Hong Kong · CNJining First People's Hospital · CNJining Medical University · CNShandong University · CNAffiliated Hospital of Jining Medical University · CNAmsterdam University Medical Centers · NLChinese Center For Disease Control and Prevention · CNStockholm University · SE

Funding

POSTMENOPAUSAL HORMONE THERAPY AND INTRA ABDOMINAL FATK01AG000740 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GOWER, BARBARA A. · 1997 to 2000
$89k
6 · The paper itself

Abstract

The metabolic syndrome (MetS) has been well linked with coronary heart disease (CHD) in the general population, but studies have rarely explored their association among patients with stroke. We examine prevalence of MetS and its association with CHD in patients with first-ever ischemic stroke. This hospital-based study included 1851 patients with first-ever ischemic stroke (mean age 61.2 years, 36.5% women) who were hospitalized into two university hospitals in Shandong, China (January 2016-February 2017). Data were collected through interviews, physical examinations, and laboratory tests. MetS was defined following the National Cholesterol Education Program (NCEP) criteria, the International Diabetes Federation (IDF) criteria, and the Chinese Diabetes Society (CDS) criteria. CHD was defined following clinical criteria. Data were analyzed using binary logistic regression models. The overall prevalence of MetS was 33.4% by NECP criteria, 47.2% by IDF criteria, and 32.5% by CDS criteria, with the prevalence being decreased with age and higher in women than in men (p < 0.05). High blood pressure, high triglycerides, and low HDL-C were significantly associated with CHD (multi-adjusted odds ratio [OR] range 1.27-1.38, p < 0.05). The multi-adjusted OR of CHD associated with MetS defined by the NECP criteria, IDF criteria, and CDS criteria (vs. no MetS) was 1.27 (95% confidence interval 1.03-1.57), 1.44 (1.18-1.76), and 1.27 (1.03-1.57), respectively. In addition, having 1-2 abnormal components (vs. none) of MetS was associated with CHD (multi-adjusted OR range 1.66-1.72, p < 0.05). MetS affects over one-third of patients with first-ever ischemic stroke. MetS is associated with an increased likelihood of CHD in stroke patients.

Indexed as

Coronary DiseaseFemaleHumansIschemic StrokeMaleMetabolic SyndromeMiddle AgedPrevalenceRisk Factors

Identifiers

PMID35906390
PMCPMC9338011
OpenAlexW4288697304

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.