Evidence map›Paper›PMID 40160566›Full record

ArticleReviews in cardiovascular medicine2025

Association between Metabolic Syndrome Score and Subclinical Atherosclerosis.

Ming Yi, Xinyi Wang, Yan Li, Xuewen Li, Jin Si, Yinghua Zhang, Keling Xiao, Lijie Sun, Haoyu Zhang, Jinghao Sun and 7 more

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
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

17 authors.

Ming YiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.ORCID https://orcid.org/0009-0006-1546-8417
Xinyi WangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.ORCID https://orcid.org/0000-0003-2970-4389
Yan LiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Xuewen LiDepartment of the General Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, 300162 Tianjin, China.
Jin SiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Yinghua ZhangDepartment of Cardiology, Chui Yang Liu Hospital Affiliated to Tsinghua University, 100021 Beijing, China.
Keling XiaoDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Lijie SunDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Haoyu ZhangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Jinghao SunDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Zhaoli LiuDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Jiaying LinDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Yuxin XieDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Bingyan ZhangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.
Jing ZhaoHealth Management Center, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
Xi ChuHealth Management Center, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.ORCID https://orcid.org/0000-0001-8603-0267
Jing LiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 100053 Beijing, China.ORCID https://orcid.org/0000-0002-0013-9139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have presented conflicting results on the correlation between metabolic syndrome (MetS) and subclinical atherosclerosis. However, the binary MetS definition cannot reflect the severity of metabolic disorders continuously and dynamically. The present study calculated the MetS score and explored the association between MetS score and subclinical atherosclerosis. Methods: A total of 840 participants were included in this observational, cross-sectional study; 66.55% of participants were men, and the median age was 61.00 years (53.00, 67.00). Brachial-ankle pulse wave velocity (baPWV) and brachial flow-mediated dilation (bFMD) values were measured from October 2016 to January 2020. Spearman's correlation and multiple linear regression analyses were conducted to explore the correlation between the MetS score and baPWV and bFMD. Arterial stiffness was defined as baPWV ≥1400 cm/s, while endothelial dysfunction was described as bFMD >6%. Multiple logistic regression was performed to explore the effects of MetS and MetS score on arterial stiffness and endothelial dysfunction. Results: The MetS score was significantly associated with baPWV (β = 73.59, 95% CI (42.70, 104.48); Conclusions: The MetS score is a clinically accessible assessment of metabolic status that can identify individuals at higher risk of subclinical atherosclerosis.

Indexed as

arterial stiffnessendothelial dysfunctionflow-mediated dilationmetabolic syndrome scorepulse wave velocitysubclinical atherosclerosis

Identifiers

PMID40160566
PMCPMC11951480

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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.