Evidence map›Paper›PMID 34823858›Full record

ArticleComputers in biology and medicine2022

Optimization of cardiac resynchronization therapy based on a cardiac electromechanics-perfusion computational model.

Lei Fan, Jenny S Choy, Farshad Raissi, Ghassan S Kassab, Lik Chuan Lee

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

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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

5 authors.

Lei FanDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: fanlei1@egr.msu.edu.
Jenny S ChoyCalifornia Medical Innovations Institute, San Diego, CA, USA.
Farshad RaissiDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Ghassan S KassabCalifornia Medical Innovations Institute, San Diego, CA, USA.
Lik Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.

Funding

Roles of Ischemia and mechanical dyssynchrony in optimizing CRT responsesR01HL134841 · NHLBI · MICHIGAN STATE UNIVERSITY · PI KASSAB, GHASSAN S, LEE, LIK CHUAN · 2017 to 2020
$2.3M
NHLBI NIH HHS R01 HL134841
6 · The paper itself

Abstract

Cardiac resynchronization therapy (CRT) is an established treatment for left bundle branch block (LBBB) resulting in mechanical dyssynchrony. Approximately 1/3 of patients with CRT, however, are non-responders. To understand factors affecting CRT response, an electromechanics-perfusion computational model based on animal-specific left ventricular (LV) geometry and coronary vascular networks located in the septum and LV free wall is developed. The model considers contractility-flow and preload-activation time relationships, and is calibrated to simultaneously match the experimental measurements in terms of the LV pressure, volume waveforms and total coronary flow in the left anterior descending and left circumflex territories from 2 swine models under right atrium and right ventricular pacing. The model is then applied to investigate the responses of CRT indexed by peak LV pressure and (dP/dt)

Indexed as

Cardiac Resynchronization TherapyHeart FailureAnimalsBundle-Branch BlockComputer SimulationHeart VentriclesHumansPerfusionSwineCardiac resynchronization therapyComputational modelingCoronary perfusionLeft ventricular mechanicsMechanical dyssynchrony

Identifiers

PMID34823858
PMCPMC8810745

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Registered trials

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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.