Evidence map›Paper›PMID 29310945›Full record

ArticleJournal of biomechanics2018

Image-based computational assessment of vascular wall mechanics and hemodynamics in pulmonary arterial hypertension patients.

Byron A Zambrano, Nathan A McLean, Xiaodan Zhao, Ju-Le Tan, Liang Zhong, C Alberto Figueroa, Lik Chuan Lee, Seungik Baek

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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  7. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
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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

8 authors at 4 institutions in 2 countries.

Byron A ZambranoDepartment of Mechanical Engineering, Michigan State University, 2555 Engineering Building, East Lansing, MI 48824, USA.
Nathan A McLeanDepartment of Mechanical Engineering, Michigan State University, 2555 Engineering Building, East Lansing, MI 48824, USA.
Xiaodan ZhaoNational Heart Center, 5 Hospital Dr, Singapore 169609, Singapore.
Ju-Le TanNational Heart Center, 5 Hospital Dr, Singapore 169609, Singapore.
Liang ZhongNational Heart Center, 5 Hospital Dr, Singapore 169609, Singapore; Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore.
C Alberto FigueroaDepartments of Biomedical Engineering and Surgery, University of Michigan, 2800 Plymouth Road, NCRC B20-211W, Ann Arbor, MI 48105, USA.
Lik Chuan LeeDepartment of Mechanical Engineering, Michigan State University, 2555 Engineering Building, East Lansing, MI 48824, USA.
Seungik BaekDepartment of Mechanical Engineering, Michigan State University, 2555 Engineering Building, East Lansing, MI 48824, USA. Electronic address: sbaek@egr.msu.edu.
Michigan State University · USNational Heart Centre Singapore · SGDuke-NUS Medical School · SGUniversity of Michigan–Ann Arbor · US

Funding

Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary HypertensionU01HL135842 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAEK, SEUNGIK, DORFMAN, ADAM LEE · 2017 to 2020
$2.3M
European Research Council 307532NHLBI NIH HHS U01 HL135842
6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a disease characterized by an elevated pulmonary arterial (PA) pressure. While several computational hemodynamic models of the pulmonary vasculature have been developed to understand PAH, they are lacking in some aspects, such as the vessel wall deformation and its lack of calibration against measurements in humans. Here, we describe a computational modeling framework that addresses these limitations. Specifically, computational models describing the coupling of hemodynamics and vessel wall mechanics in the pulmonary vasculature of a PAH patient and a normal subject were developed. Model parameters, consisting of linearized stiffness E of the large vessels and Windkessel parameters for each outflow branch, were calibrated against in vivo measurements of pressure, flow and vessel wall deformation obtained, respectively, from right-heart catheterization, phase-contrast and cine magnetic resonance images. Calibrated stiffness E of the proximal PA was 2.0 and 0.5 MPa for the PAH and normal models, respectively. Calibrated total compliance C

Indexed as

HemodynamicsMechanical PhenomenaAdultBiomechanical PhenomenaComputer SimulationHumansHypertension, PulmonaryLung ComplianceMagnetic Resonance Imaging, CineMalePulmonary ArteryFinite element modelingFluid-structure interactionHemodynamicsPulmonary arterial hypertension

Identifiers

PMID29310945
PMCPMC5783768
OpenAlexW2781135240

What OpenQuestion holds

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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.