Evidence map›Paper›PMID 33778088›Full record

ArticleComputing in cardiology2020

Right Ventricular Shape Distortion in Tricuspid Regurgitation.

Ashley E Morgan, Atefeh Kashani, Brian Zenger, Lindsay C Rupp, Maura D Perez, Markus D Foote, Alan K Morris, Mark B Ratcliffe, Jiwon J Kim, Jonathan W Weinsaft and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Computing in cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Ashley E MorganUniversity of Utah, Salt Lake City, UT, USA.
Atefeh KashaniUniversity of Utah, Salt Lake City, UT, USA.
Brian ZengerUniversity of Utah, Salt Lake City, UT, USA.
Lindsay C RuppUniversity of Utah, Salt Lake City, UT, USA.
Maura D PerezUniversity of Utah, Salt Lake City, UT, USA.
Markus D FooteUniversity of Utah, Salt Lake City, UT, USA.
Alan K MorrisUniversity of Utah, Salt Lake City, UT, USA.
Mark B RatcliffeUniversity of California, San Francisco, and the San Francisco VA Medical Center.
Jiwon J KimWeill-Cornell Medical College, NYC, NY, USA.
Jonathan W WeinsaftWeill-Cornell Medical College, NYC, NY, USA.
Vikas SharmaUniversity of Utah, Salt Lake City, UT, USA.
Rob S MacLeodUniversity of Utah, Salt Lake City, UT, USA.
Shireen ElhabianUniversity of Utah, Salt Lake City, UT, USA.
University of Utah · USSan Francisco VA Medical Center · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
CMR Myocardial Tissue Based Prediction of Ischemic MR Revascularization ResponseR01HL128278 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI WEINSAFT, JONATHAN W. · 2015 to 2019
$3.8M
ShapeWorks in the CloudR01AR076120 · NIAMS · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2024
$2.7M
New 3D and 4D Image-Based Clinical Measures of Atrial Structural and Functional Remodeling in Atrial FibrillationR01HL135568 · NHLBI · UNIVERSITY OF UTAH · PI CATES, JOSHUA E, ELHABIAN, SHIREEN YOUSSEF · 2017 to 2020
$1.4M
ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and AnalysisU24EB029011 · NIBIB · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2023
$1.4M
Advanced CMR Tissue-Based Prediction of Right Ventricular Dysfunction and Revascularization ResponseK23HL140092 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, JIWON · 2018 to 2022
$847k
Novel Characterization and Detection Techniques for Acute Myocardial IschemiaF30HL149327 · NHLBI · UNIVERSITY OF UTAH · PI ZENGER, BRIAN · 2020 to 2022
$117k
NHLBI NIH HHS F30 HL149327NHLBI NIH HHS K23 HL140092NHLBI NIH HHS R01 HL128278NHLBI NIH HHS R01 HL135568NIAMS NIH HHS R01 AR076120NIBIB NIH HHS U24 EB029011NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Tricuspid regurgitation (TR) is a failure in right-sided AV valve function which, if left untreated, leads to marked cardiac shape changes and heart failure. However, the specific right ventricular shape changes resulting from TR are unknown. The goal of this study is to characterize the RV shape changes of patients with severe TR. RVs were segmented from CINE MRI images. Using particle-based shape modeling (PSM), a dense set of homologous landmarks were placed with geometric consistency on the endocardial surface of each RV, via an entropy-based optimization of the information content of the shape model. Principal component analysis (PCA) identified the significant modes of shape variation across the population. These modes were used to create a patient-prediction model. 32 patients and 6 healthy controls were studied. The mean RV shape of TR patients demonstrated increased sphericity relative to controls, with the three most dominant modes of variation showing significant widening of the short axis of the heart, narrowing of the base at the RV outflow tract (RVOT), and blunting of the RV apex. By PCA, shape changes based on the first three modes of variation correctly identified patient vs. control hearts 86.5% of the time. The shape variation may further illuminate the mechanics of TR-induced RV failure and recovery, providing potential targets for therapies including novel devices and surgical interventions.

Identifiers

PMID33778088
PMCPMC7992117
OpenAlexW3120724359

What OpenQuestion holds

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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.