Evidence map›Paper›PMID 34777616›Full record

ReviewBiophysical reviews2021

Multiscale simulations of left ventricular growth and remodeling.

Hossein Sharifi, Charles K Mann, Alexus L Rockward, Mohammad Mehri, Joy Mojumder, Lik-Chuan Lee, Kenneth S Campbell, Jonathan F Wenk

Open access · greenAbstract readReview
In one paragraph

Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
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  8. Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024
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  17. Biophysical reviews · 2021
    Article
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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 2 institutions in 1 country.

Hossein SharifiDepartment of Mechanical Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY 40506-0503 USA.
Charles K MannDepartment of Mechanical Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY 40506-0503 USA.
Alexus L RockwardDepartment of Mechanical Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY 40506-0503 USA.
Mohammad MehriDepartment of Mechanical Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY 40506-0503 USA.
Joy MojumderDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI USA.
Lik-Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI USA.
Kenneth S CampbellDepartment of Physiology & Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY USA.
Jonathan F WenkDepartment of Mechanical Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY 40506-0503 USA.ORCID 0000-0003-0272-9914
University of Kentucky · USMichigan State University · US

Funding

Multiscale modeling of inherited cardiomyopathies and therapeutic interventionsU01HL133359 · NHLBI · UNIVERSITY OF KENTUCKY · PI CAMPBELL, KENNETH S, WENK, JONATHAN F · 2017 to 2021
$3.1M
NHLBI NIH HHS U01 HL133359
6 · The paper itself

Abstract

Cardiomyocytes can adapt their size, shape, and orientation in response to altered biomechanical or biochemical stimuli. The process by which the heart undergoes structural changes-affecting both geometry and material properties-in response to altered ventricular loading, altered hormonal levels, or mutant sarcomeric proteins is broadly known as cardiac growth and remodeling (G&R). Although it is likely that cardiac G&R initially occurs as an adaptive response of the heart to the underlying stimuli, prolonged pathological changes can lead to increased risk of atrial fibrillation, heart failure, and sudden death. During the past few decades, computational models have been extensively used to investigate the mechanisms of cardiac G&R, as a complement to experimental measurements. These models have provided an opportunity to quantitatively study the relationships between the underlying stimuli (primarily mechanical) and the adverse outcomes of cardiac G&R, i.e., alterations in ventricular size and function. State-of-the-art computational models have shown promise in predicting the progression of cardiac G&R. However, there are still limitations that need to be addressed in future works to advance the field. In this review, we first outline the current state of computational models of cardiac growth and myofiber remodeling. Then, we discuss the potential limitations of current models of cardiac G&R that need to be addressed before they can be utilized in clinical care. Finally, we briefly discuss the next feasible steps and future directions that could advance the field of cardiac G&R.

Indexed as

Cardiac growthCardiomyopathyMachine learningMultiscale modelingMyofiber remodelingSarcomeres

Identifiers

PMID34777616
PMCPMC8555068
OpenAlexW3195892772

What OpenQuestion holds

Textmetadata
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.