Evidence map›Paper›PMID 31080296›Full record

ArticleMeccanica2017

Clinical assessment of intraventricular blood transport in patients undergoing cardiac resynchronization therapy.

Lorenzo Rossini, Pablo Martinez-Legazpi, Yolanda Benito, Candelas Pérez Del Villar, Ana Gonzalez-Mansilla, Alicia Barrio, María-Guadalupe Borja, Raquel Yotti, Andrew M Kahn, Shawn C Shadden and 3 more

Open access · greenAbstract read
In one paragraph

Article in Meccanica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Non-Newtonian blood rheology impacts left atrial stasis in patient-specific simulations.International journal for numerical methods in biomedical engineering · 2022
    Article
  4. Article
  5. 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

13 authors at 4 institutions in 2 countries.

Lorenzo RossiniMechanical and Aerospace Engineering Department, University of California San Diego, Mail Code 0411 9500 Gilman Drive, La Jolla, CA 92093, USA.
Pablo Martinez-LegazpiMechanical and Aerospace Engineering Department, University of California San Diego, Mail Code 0411 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
Yolanda BenitoDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
Candelas Pérez Del VillarDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
Ana Gonzalez-MansillaDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
Alicia BarrioDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
María-Guadalupe BorjaMechanical and Aerospace Engineering Department, University of California San Diego, Mail Code 0411 9500 Gilman Drive, La Jolla, CA 92093, USA.
Raquel YottiDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain.
Andrew M KahnDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.
Shawn C ShaddenMechanical Engineering Department, University of California Berkeley, Berkeley, CA, USA.
Francisco Fernández-AvilésDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Javier BermejoDepartment of Cardiology, Instituto de Investigación Sanitaria Gregorio Marañó n, Hospital General Universitario Gregorio Marañón , Dr. Esquerdo 46, 28007 Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Juan C Del ÁlamoMechanical and Aerospace Engineering Department, University of California San Diego, Mail Code 0411 9500 Gilman Drive, La Jolla, CA 92093, USA, Institute for Engineering in Medicine, University of California San Diego, La Jolla, CA, USA.
Hospital General Universitario Gregorio Marañón · ESUniversity of California, San Diego · USUniversidad Complutense de Madrid · ESUniversity of California, Berkeley · US

Funding

Characterization of intraventricular filling vortices in the clinical settingR21HL108268 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEL ALAMO, JUAN CARLOS, KAHN, ANDREW · 2011 to 2012
$415k
NHLBI NIH HHS R21 HL108268
6 · The paper itself

Abstract

In the healthy heart, left ventricular (LV) filling generates different flow patterns which have been proposed to optimize blood transport by coupling diastole and systole. This work presents a novel image-based method to assess how different flow patterns influence LV blood transport in patients undergoing cardiac resynchronization therapy (CRT). Our approach is based on solving the advection equation for a passive scalar field from time-resolved blood velocity fields. Imposing time-varying inflow boundary conditions for the scalar field provides a straightforward method to distinctly track the transport of blood entering the LV in the different filling waves of a given cardiac cycle, as well as the transport barriers which couple filling and ejection. We applied this method to analyze flow transport in a group of patients with implanted CRT devices and a group of healthy volunteers. Velocity fields were obtained using echocardiographic color Doppler velocimetry, which provides two-dimensional time-resolved flow maps in the apical long axis three-chamber view of the LV. In the patients under CRT, the device programming was varied to analyze flow transport under different values of the atrioventricular conduction delay, and to model tachycardia (100 bpm). Using this method, we show how CRT influences the transit of blood inside the left ventricle, contributes to conserving kinetic energy, and favors the generation of hemodynamic forces that accelerate blood in the direction of the LV outflow tract. These novel aspects of ventricular function are clinically accessible by quantitative analysis of color-Doppler echocardiograms.

Indexed as

Blood filling wavesBlood transportCardiac resynchronization therapyEchocardiographyIntracardiac flowIntraventricular flow patterns

Identifiers

PMID31080296
PMCPMC6508690
OpenAlexW2230566517

What OpenQuestion holds

Textmetadata
LicenceTDM
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.