Evidence map›Paper›PMID 37868781›Full record

ArticleFrontiers in cardiovascular medicine2023

The impact of bilateral brachial-ankle pulse wave velocity difference on cardiovascular disease and all-cause mortality.

Mengyi Zheng, Xinyuan Zhang, Quanhui Zhao, Shuohua Chen, Xinying Guo, Chi Wang, Jost B Jonas, Shouling Wu, Caixia Guo

Abstract read
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Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mengyi ZhengCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xinyuan ZhangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Quanhui ZhaoDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Xinying GuoCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Chi WangDepartment of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Jost B JonasDepartment of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Caixia GuoCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the association between an elevated bilateral pulse wave velocity difference (BPWVD) and cardiovascular diseases (CVDs) and all-cause mortality. Methods: This study included a total of 38,356 participants. A multivariable Cox proportional hazards regression was used to assess the association between high BPWVD and the increased risk of CVDs and all-cause mortality by calculating hazard ratios (HRs) with 95% confidence intervals. Results: A total of 1,213 cases of CVDs were identified over a mean duration of 6.19 years, including 886 cases of cerebral infarction (CI), 105 cases of intracerebral hemorrhage (ICH), and 222 cases of myocardial infarction (MI), along with 1,182 cases of all-cause mortality. The median BPWVD was 42 cm/s (19-80 cm/s). After adjusting for all confounders and baseline brachial-ankle PWV (baPWV), our analysis revealed a significant correlation between a higher risk of CVDs, MI, and all-cause mortality with an increase in BPWVD per standard deviation. HRs (95% confidence interval) were found to be 1.06 (1.01-1.11), 1.11 (1.02-1.21), and 1.07 (1.04-1.10), respectively. Among the participants with higher baPWV on the left side, the HRs (95% confidence interval) were 1.08 (1.02-1.14) for CVDs, 1.27 (1.10-1.46) for incident ICH, 1.16 (1.00-1.24) for incident MI, and 1.10 (1.07-1.15) for all-cause mortality, for per standard deviation increase in BPWVD. Conclusions: Our findings reveal a significant correlation between elevated BPWVD and the risks of developing CVDs and all-cause mortality. This highlights the importance of thoroughly evaluating BPWVD as a means of detecting individuals at risk for CVDs and mortality.

Indexed as

all-cause mortalityarterial stiffnessbilateral differencecardiovascular diseaseclinical indicator

Identifiers

PMID37868781
PMCPMC10588177

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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.