Evidence map›Paper›PMID 37522647›Full record

ArticleClinical cardiology2023

The incidence of subclinical atherosclerosis in subjects with low and moderate cardiovascular risk.

Yan Li, Yinghua Zhang, Keling Xiao, Jin Si, Haoyu Zhang, Lijie Sun, Zupei Miao, Ting Zhao, Jinghao Sun, Xipeng Sun and 5 more

Abstract read
In one paragraph

Article in Clinical cardiology, 2023. 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

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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
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4 · The record

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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

15 authors.

Yan LiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.ORCID http://orcid.org/0000-0002-4930-4131
Yinghua ZhangDepartment of Cardiology, Chui Yang Liu Hospital affiliated to Tsinghua University, Beijing, China.
Keling XiaoDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Jin SiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.ORCID http://orcid.org/0000-0002-1539-6760
Haoyu ZhangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Lijie SunDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Zupei MiaoDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Ting ZhaoDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Jinghao SunDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Xipeng SunDepartment of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhi LiuDepartment of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jing GaoDepartment of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jing ZhaoHealth Management Center, Xuanwu hospital, Capital Medical University, Beijing, China.
Xi ChuHealth Management Center, Xuanwu hospital, Capital Medical University, Beijing, China.
Jing LiDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.

Funding

National Natural Science Foundation of China 82170347
6 · The paper itself

Abstract

backgroundThe cardiovascular risk models and subclinical atherosclerotic indicators are both recommended for cardiovascular risk stratification. The accordance between the incidence of subclinical atherosclerosis and subjects with low and moderate cardiovascular risk is unclear. HYPOTHESIS: Subjects with low and moderate cardiovascular risk have a lower incidence of subclinical atherosclerosis compared with subjects with high risk.

methodsBrachial-ankle pulse wave velocity (BaPWV) and brachial flow-mediated dilation (BFMD) were measured in 421 subjects without a history of atherosclerotic cardiovascular disease (ASCVD) from October 2016 to January 2020. All subjects were classified into low, moderate, and high risk based on Framingham and China-par risk models respectively.

resultsMean age was 57.05 ± 9.35 years and 248 (58.9%) were male. In subjects with low, moderate, and high risk assessed by Framingham and China-par risk models, the percentage of abnormal BaPWV ( > 1400 cm/s) was 42.9%, 70.1%, 85.7%, and 40.4%, 71.4%, 89.7%, respectively. Meanwhile, the percentage of abnormal BFMD ( ≤ 7%) was 43.8%, 68.5%, 77.3%, and 44.9%,72.1%, and 76.6%. According to Framingham-based high-risk categories, positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for BaPWV abnormality were 85.7%, 39.4%, 36.1%, and 87.5%, respectively. For BFMD abnormality, the values were 77.3%, 40.1%, 34.1%, and 81.8%, respectively. According to China-par high-risk categories, the values for BaPWV abnormality were 89.7%, 43.8%, 45.6%, and 89.0%, respectively. For BFMD abnormality, the values were 76.6%, 41.3%, 40.7%, and 77%, respectively. In multivariate analysis, age and blood pressure were the independent predictors for subclinical atherosclerosis in subjects with low-moderate risk.

conclusionsMore than one-half of subjects with low and moderate risk already have detectable subclinical atherosclerosis, indicating higher cardiovascular risk beyond the traditional stratification.

Indexed as

AtherosclerosisCardiovascular DiseasesAgedAnkle Brachial IndexFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPulse Wave AnalysisRisk Factorsbrachial-ankle pulse wave velocitybrachial flow-mediated dilationChina-par risk modelFramingham risk modelsubclinical atherosclerosis

Identifiers

PMID37522647
PMCPMC10577528

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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.