Evidence map›Paper›PMID 36646995›Full record

ArticleBMC cardiovascular disorders2023

Increased arterial pressure volume index and cardiovascular risk score in China.

Lin Jin, Mengjiao Zhang, Lei Sha, Mengmeng Cao, Lanyue Tong, Qingqing Chen, Cuiqin Shen, Lianfang Du, Liping Liu, Zhaojun Li

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-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

8 citing papers in PubMed, 11 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

10 authors at 5 institutions in 1 country.

Lin Jin *Department of Ultrasound, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China.
Mengjiao Zhang *Department of Medical Imaging, Weifang Medical University, Weifang, 261053, Shandong, China.
Lei ShaDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Mengmeng CaoDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Lanyue TongDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Qingqing ChenDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Cuiqin ShenDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Lianfang DuDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China.
Liping LiuDepartment of Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, China. liuliping1600@sina.com.
Zhaojun LiDepartment of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China. lzj_1975@sina.com.
Shanghai First People's Hospital · CNJiading District Central Hospital · CNFirst Hospital of Shanxi Medical University · CNShanxi Medical University · CNWeifang Medical University · CN

Funding

Natural Science Foundation of Shanghai 21ZR1451400Shanghai Jiading District Health and Family Planning Commission Fund 2021-KY-10
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe new non-invasive arterial stiffness indices, arterial pressure volume index (API) is explored as a novel marker of residual stress in the wall of the peripheral muscular arteries at zero-stress state in clinical settings. The present study aimed to study the association of API with cardiovascular disease (CVD) risk in China (China-PAR).

methodsAccording to China-PAR score, participants were divided into three groups: low risk (< 5%), medium risk (5-9.9%), and high risk (≥ 10.0%). API ≥ 31 was defined as high API, and the incidences of high API were compared. Logistic regression models were used to analyze the risk factors of high API and high risk China-PAR categories. The association between China-PAR and API was analyzed by restrictive cubic spline.

resultsThe study included 4311 participants. After adjustments for confounding factors, high API was independent factor associated with high risk China-PAR categories, and the probability of high API was 1.366 times higher than that in normal API subjects. While, the independent factors associated with high API were BMI, blood pressure and heart rate. Furthermore, API had a significant U-shaped association with China-PAR. CVD risk was lowest with API of 19 units, the fastest increase at 26 units and the flattest starting point at 59 units.

conclusionAPI, an indicator of arterial stiffness and residual stress, had a U-shaped association with China-PAR score and might play an important role in predicting CVD risk in Chinese natural populations.

Indexed as

Cardiovascular DiseasesHypertensionVascular StiffnessArterial PressureBlood PressureChinaHeart Disease Risk FactorsHumansPulse Wave AnalysisRisk FactorsArterial pressure volume indexArterial stiffnessCardiovascular diseaseRisk assessment

Identifiers

PMID36646995
PMCPMC9841629
OpenAlexW4316468735

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.