Evidence map›Paper›PMID 31432042›Full record

ArticleFunctional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference)2019

High-Resolution

Tyler E Cork, Luigi E Perotti, Ilya A Verzhbinsky, Michael Loecher, Daniel B Ennis

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diffusion biomarkers in chronic myocardial infarction.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2021
    Article
  6. 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

5 authors at 2 institutions in 1 country.

Tyler E CorkDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5759-5322
Luigi E PerottiDepartment of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-9010-2144
Ilya A VerzhbinskyDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-7890-8559
Michael LoecherDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-6533-1113
Daniel B EnnisDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9051-3843
Stanford University · USUniversity of Central Florida · US

Funding

A New Framework for Understanding the Mechanisms of Diastolic DysfunctionR01HL131823 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2017 to 2020
$2.3M
Defining and Measuring Diastolic Myocardial Kinematics and StiffnessK25HL135408 · NHLBI · UNIVERSITY OF CENTRAL FLORIDA · PI PEROTTI, LUIGI EMANUELE · 2017 to 2019
$494k
NHLBI NIH HHS K25 HL135408NHLBI NIH HHS R01 HL131823
6 · The paper itself

Abstract

Computational modeling of the heart requires accurately incorporating both gross anatomical detail and local microstructural information. Together, these provide the necessary data to build 3D meshes for simulation of cardiac mechanics and electrophysiology. Recent MRI advances make it possible to measure detailed heart motion

Indexed as

3D printingCardiac electromechanicsComputational modelingMagnetic resonance imaging

Identifiers

PMID31432042
PMCPMC6701689
OpenAlexW2947860650

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.