Evidence map›Paper›PMID 24410766›Full record

ArticleBMC cardiovascular disorders2014

Regional pulse wave velocities and their cardiovascular risk factors among healthy middle-aged men: a cross-sectional population-based study.

Jina Choo, Chol Shin, Emma Barinas-Mitchell, Kamal Masaki, Bradley J Willcox, Todd B Seto, Hirotsugu Ueshima, Sunghee Lee, Katsuyuki Miura, Lakshmi Venkitachalam and 5 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
–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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  13. Aortic Area as an Indicator of Subclinical Cardiovascular Disease.The open cardiovascular medicine journal · 2022
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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

15 authors.

Jina ChooCollege of Nursing, Korea University, Anam-Dong, Seongbuk-Gu, Seoul 136-705, South Korea. jinachoo@gmail.com.
Chol Shin
Emma Barinas-Mitchell
Kamal Masaki
Bradley J Willcox
Todd B Seto
Hirotsugu Ueshima
Sunghee Lee
Katsuyuki Miura
Lakshmi Venkitachalam
Rachel H Mackey
Rhobert W Evans
Lewis H Kuller
Kim Sutton-Tyrrell
Akira Sekikawa

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
Foreign CohortR01HL068200 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEKIKAWA, AKIRA · 2003 to 2012
$5.6M
Epidemiology of CHD of Men Aged 40+ in US, Hawaii, JapanR01HL071561 · NHLBI · PACIFIC HEALTH RESEARCH INSTITUTE · PI CURB, JESS DAVID · 2003 to 2006
$1.7M
NHLBI NIH HHS R01-HL071561NHLBI NIH HHS R01 HL68200NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

backgroundBoth carotid-femoral (cf) pulse wave velocity (PWV) and brachial-ankle (ba) PWV employ arterial sites that are not consistent with the path of blood flow. Few previous studies have reported the differential characteristics between cfPWV and baPWV by simultaneously comparing these with measures of pure central (aorta) and peripheral (leg) arterial stiffness, i.e., heart-femoral (hf) PWV and femoral-ankle (fa) PWV in healthy populations. We aimed to identify the degree to which these commonly used measures of cfPWV and baPWV correlate with hfPWV and faPWV, respectively, and to evaluate whether both cfPWV and baPWV are consistent with either hfPWV or faPWV in their associations with cardiovascular (CV) risk factors.

methodsA population-based sample of healthy 784 men aged 40-49 (202 white Americans, 68 African Americans, 202 Japanese-Americans, and 282 Koreans) was examined in this cross-sectional study. Four regional PWVs were simultaneously measured by an automated tonometry/plethysmography system.

resultscfPWV correlated strongly with hfPWV (r = .81, P < .001), but weakly with faPWV (r = .12, P = .001). baPWV correlated moderately with both hfPWV (r = .47, P < .001) and faPWV (r = .62, P < .001). After stepwise regression analyses with adjustments for race, cfPWV shared common significant correlates with both hfPWV and faPWV: systolic blood pressure (BP) and body mass index (BMI). However, BMI was positively associated with hfPWV and cfPWV, and negatively associated with faPWV. baPWV shared common significant correlates with hfPWV: age and systolic BP. baPWV also shared the following correlates with faPWV: systolic BP, triglycerides, and current smoking.

conclusionsAmong healthy men aged 40 - 49, cfPWV correlated strongly with central PWV, and baPWV correlated with both central and peripheral PWVs. Of the CV risk factors, systolic BP was uniformly associated with all the regional PWVs. In the associations with factors other than systolic BP, cfPWV was consistent with central PWV, while baPWV was consistent with both central and peripheral PWVs.

Indexed as

Pulse Wave AnalysisVascular StiffnessAdultAge FactorsAnkle Brachial IndexAortaArteriesAsianAsian PeopleBlack or African AmericanBody Mass IndexBrachial ArteryCardiovascular DiseasesCarotid ArteriesCross-Sectional StudiesFemoral Artery

Identifiers

PMID24410766
PMCPMC3893368

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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.