Evidence map›Paper›PMID 30456903›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2019

Cardio-ankle vascular index and cardiovascular disease: Systematic review and meta-analysis of prospective and cross-sectional studies.

Kunihiro Matsushita, Ning Ding, Esther D Kim, Matthew Budoff, Julio A Chirinos, Bo Fernhall, Naomi M Hamburg, Kazuomi Kario, Toru Miyoshi, Hirofumi Tanaka and 1 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 138 citations in OpenAlex.

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10 more citing papers are in PubMed but not listed here.

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

11 authors at 8 institutions in 2 countries.

Kunihiro MatsushitaJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-7179-718X
Ning DingJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Esther D KimJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Matthew BudoffLos Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, California.
Julio A ChirinosPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennysylvania.
Bo FernhallIntegrative Physiology Laboratory, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois.
Naomi M HamburgSection of Vascular Biology, Boston University School of Medicine, Boston, Massachusetts.
Kazuomi KarioJichi Medical University, Tochigi, Japan.ORCID 0000-0002-8251-4480
Toru MiyoshiDepartment of Cardiovascular Medicine, Okayama University, Okayama, Japan.
Hirofumi TanakaDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas.
Raymond TownsendPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennysylvania.
Johns Hopkins University · USTransylvania University · USBoston University · USJichi Medical University · JPOkayama University · JPTexas Health and Science University · USThe Lundquist Institute · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cardio-ankle vascular index (CAVI) is a new measure of arterial stiffness that reflects the stiffness from the ascending aorta to the ankle arteries, and demonstrates little dependence on blood pressure during the evaluation. However, a comprehensive assessment of the association of CAVI with cardiovascular disease (CVD) has not been reported. We performed a systematic review to assess the association between CAVI and CVD. We searched for both prospective and cross-sectional studies using MEDLINE, Embase, and Cochrane from inception until April 11, 2017. We pooled the results using random-effects models. Among 1519 records, we identified nine prospective studies (n = 5214) and 17 cross-sectional eligible studies (n = 7309), with most enrolling high CVD risk populations in Asia. All nine prospective studies investigated composite CVD events as an outcome (498 cases including coronary events and stroke) but modeled CAVI inconsistently. The pooled adjusted hazard ratio for CVD events per 1 standard deviation increment of CAVI in four studies was 1.20 (95% CI: 1.05-1.36, P = 0.006). Of the 17 cross-sectional studies, 13 studies compared CAVI values between patients with and without CVD and all reported significantly higher values in those with CVD (pooled mean difference in CAVI values 1.28 [0.86-1.70], P < 0.001). This systematic review suggests a modest association between CAVI and incident CVD risk, and highlights the need for studies assessing CAVI as a predictor of CVD in the general population and non-Asian countries.

Indexed as

AgedAged, 80 and overAortaAsiaBlood PressureCardio Ankle Vascular IndexCardiovascular DiseasesCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsVascular Stiffnessall-cause mortalityarterial stiffnesscardio-ankle vascular indexcardiovascular diseasemeta-analysis

Identifiers

PMID30456903
PMCPMC8030558
OpenAlexW2900631276

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.