Evidence map›Paper›PMID 30509276›Full record

ArticleBiomedical engineering online2018

Computational analysis of the hemodynamic characteristics under interaction influence of β-blocker and LVAD.

Kaiyun Gu, Zhe Zhang, Yu Chang, Bin Gao, Feng Wan

Abstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Kaiyun GuPeking University Third Hospital, Peking University Health Science Center, 49 North Garden Rd, Haidian District, Beijing, 100191, China.
Zhe ZhangPeking University Third Hospital, Peking University Health Science Center, 49 North Garden Rd, Haidian District, Beijing, 100191, China. zhangzhe@bjmu.edu.cn.
Yu ChangCollege of Life Science & Bio-Engineering, Beijing University of Technology, Beijing, 100124, China. bme@bjut.edu.cn.
Bin GaoCollege of Life Science & Bio-Engineering, Beijing University of Technology, Beijing, 100124, China.
Feng WanPeking University Third Hospital, Peking University Health Science Center, 49 North Garden Rd, Haidian District, Beijing, 100191, China.

Funding

National Natural Science Foundation of China 11572014
6 · The paper itself

Abstract

backgroundHemodynamic characteristics of the interaction influence among support level and model of LVAD, and coupling β-blocker has not been reported.

methodsIn this study, the effect of support level and model of LVAD on cardiovascular hemodynamic characteristics is investigated. In addition, the effect of β-blocker on unloading with LVAD is analyzed to elucidate the mechanism of LVAD coupling β-blocker. A multi-scale model from cell level to system level is proposed. Moreover, LVAD coupling β-blocker has been researching to explain the hemodynamics of cardiovascular system.

resultsMyocardial force was decreased along with the increase of support level of LVAD, and co-pulse mode was the lowest among the three support modes. Additionally, the β-blocker combined with LVAD significantly reduced the left ventricular volume compared with LVAD support without β-blocker. However, the left ventricular pressure under both cases has no significant difference. External work of right ventricular was increased along with the growth of support level of only LVAD. The LVAD under co-pulse mode achieved the lowest right-ventricular EW among the three support modes.

conclusionsCo-pulse mode with β-blocker could be an optimal strategy for promoting cardiac structure and function recovery.

Indexed as

Heart-Assist DevicesModels, CardiovascularAdrenergic beta-AntagonistsBiomechanical PhenomenaHemodynamicsHumansAdrenergic beta-AntagonistsHemodynamicsLeft ventricular assist devicesMulti-scale modelβ-Adrenergic receptor antagonists

Identifiers

PMID30509276
PMCPMC6276231

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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.