Evidence map›Paper›PMID 34882286›Full record

ArticleJournal of cardiovascular translational research2022

Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy.

David Marlevi, Jorge Mariscal-Harana, Nicholas S Burris, Julio Sotelo, Bram Ruijsink, Myrianthi Hadjicharalambous, Liya Asner, Eva Sammut, Radomir Chabiniok, Sergio Uribe and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Inverse problems in blood flow modeling: A review.International journal for numerical methods in biomedical engineering · 2022
    Review
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

14 authors at 6 institutions in 8 countries.

David MarleviInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-1002-2070
Jorge Mariscal-HaranaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Nicholas S BurrisDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Julio SoteloSchool of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile.
Bram RuijsinkSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Myrianthi HadjicharalambousSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Liya AsnerSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Eva SammutSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Radomir ChabiniokSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Sergio UribeBiomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Reidar WinterDepartment of Clinical Sciences, Karolinska Institutet, Danderyd, Sweden.
Pablo LamataSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Jordi AlastrueySchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
David NordslettenSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. david.nordsletten@gmail.com.
King's College London · GBPontificia Universidad Católica de Chile · CLCentre National de la Recherche Scientifique · FRDanderyds sjukhus · SEKarolinska Institutet · SEUniversity of Michigan · US

Funding

British Heart Foundation NH/11/5/29058British Heart Foundation PG/15/104/31913British Heart Foundation TG/17/3/33406Wellcome Trust 088641/Z/09/ZWellcome Trust 209450/Z/17/Z
6 · The paper itself

Abstract

Ventricular-vascular interaction is central in the adaptation to cardiovascular disease. However, cardiomyopathy patients are predominantly monitored using cardiac biomarkers. The aim of this study is therefore to explore aortic function in dilated cardiomyopathy (DCM). Fourteen idiopathic DCM patients and 16 controls underwent cardiac magnetic resonance imaging, with aortic relative pressure derived using physics-based image processing and a virtual cohort utilized to assess the impact of cardiovascular properties on aortic behaviour. Subjects with reduced left ventricular systolic function had significantly reduced aortic relative pressure, increased aortic stiffness, and significantly delayed time-to-pressure peak duration. From the virtual cohort, aortic stiffness and aortic volumetric size were identified as key determinants of aortic relative pressure. As such, this study shows how advanced flow imaging and aortic hemodynamic evaluation could provide novel insights into the manifestation of DCM, with signs of both altered aortic structure and function derived in DCM using our proposed imaging protocol.

Indexed as

Cardiomyopathy, DilatedAortaHeart VentriclesHemodynamicsHumansMagnetic Resonance ImagingVentricular Function, Left4D flow MRIAortic hemodynamicsAortic relative pressureAortic stiffnessDilated cardiomyopathy

Identifiers

PMID34882286
PMCPMC9622552
OpenAlexW2979876142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.