Evidence map›Paper›PMID 30603743›Full record

ArticleChronic diseases and translational medicine2018

Clustering of major cardiovascular risk factors is associated with arterial stiffness in adults.

Xiang-Lei Kong, Xiao-Jing Ma, Cheng-Yin Zhang, Dong-Mei Xu

Open access · goldAbstract read
In one paragraph

Article in Chronic diseases and translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Telomere shortening in patients on long-term hemodialysis.Chronic diseases and translational medicine · 2021
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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

4 authors at 4 institutions in 2 countries.

Xiang-Lei KongDepartment of Nephrology, Qianfoshan Hospital, Shandong University, Jinan, Shandong 250014, China.
Xiao-Jing MaDepartment of Health Examination Center, Qianfoshan Hospital, Shandong University, Jinan, Shandong 250014, China.
Cheng-Yin ZhangDepartment of Nephrology, Yidu Central Hospital, Weifang Medical College, Qingzhou, Shandong 262500, China.
Dong-Mei XuDepartment of Nephrology, Qianfoshan Hospital, Shandong University, Jinan, Shandong 250014, China.
Shandong Provincial QianFoShan Hospital · CNShandong University · CNYidu Central Hospital of Weifang · CNZero to Three · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCardiovascular disease (CVD) is the leading cause of mortality and morbidity worldwide. Previous studies have indicated that clustering of major CVD risk factors is common. We aimed to explore the association of clustering of CVD risk factors with arterial stiffness in adults.

methodsA total of 9984 adults were enrolled. We investigated clustering of four major CVD risk factors (defined as two or more of the following: hypertension, diabetes, dyslipidemia, and high body mass index) and their association with arterial stiffness. Arterial stiffness was evaluated using the carotid-femoral pulse wave velocity (cfPWV).

resultsIn the study group (52.2% men, the mean age was 55.4 ± 10.5 years; only 11.9% of participants were free of any pre-defined CVD risk factors and 61.8% of participants had clustering of CVD risk factors. The cfPWV was significantly higher in the clustered risk factors group than in the no risk factor or the single risk factor groups (16.1 ± 3.1, 13.4 ± 2.2, and 14.3 ± 2.6 m/s, respectively;

conclusionsClustering of CVD risk factors significantly correlated with arterial stiffness; this confirms the importance of lifestyle modification to reduce the burden of CVD.

Indexed as

Arterial stiffnessCardiovascular diseaseClusterPulse wave velocity

Identifiers

PMID30603743
PMCPMC6308915
OpenAlexW2797266267

What OpenQuestion holds

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Registered trials

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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.