Evidence map›Paper›PMID 35016632›Full record

ArticleBMC cardiovascular disorders2022

Usefulness of estimated pulse wave velocity for identifying prevalent coronary heart disease: findings from a general Chinese population.

Xiao-Wu He, Jieun Park, Wen-Sheng Huang, Li-Hua Leng, Yan Yu, Yi-Bin Pei, Gao Zhu, Shaohui Wu

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Anti-Motion Artifacts Iontronic Sensor for Long-Term Accurate Fingertip Pulse Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

8 authors at 2 institutions in 1 country.

Xiao-Wu He *Department of Cardiology, The PLA Navy Anqing Hospital, Anqing, Anhui, China.
Jieun Park *School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wen-Sheng HuangDepartment of Cardiology, The PLA Navy Anqing Hospital, Anqing, Anhui, China.
Li-Hua LengDepartment of Cardiology, The PLA Navy Anqing Hospital, Anqing, Anhui, China.
Yan YuDepartment of Cardiology, Anqing First People's Hospital, Anqing, Anhui, China.
Yi-Bin PeiDepartment of Cardiology, The PLA Navy Anqing Hospital, Anqing, Anhui, China.
Gao ZhuDepartment of Cardiology, The PLA Navy Anqing Hospital, Anqing, Anhui, China.
Shaohui WuDepartment of Cardiology, Shanghai Chest Hospital Affiliated To Shanghai Jiao Tong University, West Huaihai Road 241, Shanghai, China. wushaohuishxk@outlook.com.
Anqing City Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAortic stiffness and coronary heart disease (CHD) share a similar spectrum of risk factors; previous studies have identified the association between aortic stiffness and CHD. Recent studies have demonstrated estimated pulse wave velocity (ePWV) as a simple and easy-acquired indicator of aortic stiffness. Our work aims to evaluate the association between ePWV and the prevalence of CHD and assess the value of ePWV for the identification of prevalent CHD.

methodsThe current cross-sectional work included 7012 subjects from rural areas of southeastern China between September 2020 and February 2021. ePWV was calculated from age and mean blood pressure by specific algorithm.

resultsThe prevalence of CHD in our population was 3.58% (251 patients among 7012 subjects). After adjusting for age, sex, education, income and exercise level, current smoking and drinking status, body mass index, waist circumference, fasting plasma glucose, total cholesterol, high density lipoprotein, estimated glomerular filtration rate and cerebrovascular diseases, each standard deviation increment of ePWV would produce an additional 37.8% risk of prevalent CHD. Moreover, after dividing ePWV into quartiles, the 4th quartile of ePWV showed a significant risk of prevalent CHD (OR (95% CI): 3.567 (1.963-6.479)) when compared with the 1

conclusionThe present analysis implicates the robust association between ePWV, a simple, rapid, and practical marker of aortic stiffness, and prevalent CHD in the general Chinese population. More importantly, the results suggest the value of ePWV as a potential marker to improve the identification of prevalent CHD.

Indexed as

Rural PopulationBlood PressureChinaCoronary DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalencePulse Wave AnalysisReproducibility of ResultsRisk FactorsVascular StiffnessAortic stiffnessCoronary heart diseaseEpidemiologyEstimated pulse wave velocity

Identifiers

PMID35016632
PMCPMC8753922
OpenAlexW4206109458

What OpenQuestion holds

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LicenceCC BY
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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.