Evidence map›Paper›PMID 33716162›Full record

ArticleJournal of the American Society of Echocardiography : official publication of the American Society of Echocardiography2021

Novel Echocardiographic Algorithm for Right Ventricular Mass Quantification: Cardiovascular Magnetic Resonance and Clinical Prognosis Validation.

Jonathan Kochav, Jennifer Chen, Lakshmi Nambiar, Hannah W Mitlak, Arielle Kushman, Razia Sultana, Evelyn Horn, Arindam RoyChoudhury, Richard B Devereux, Jonathan W Weinsaft and 1 more

Abstract read
In one paragraph

Article in Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Jonathan KochavDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Jennifer ChenDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Lakshmi NambiarDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Hannah W MitlakDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Arielle KushmanDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Razia SultanaDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Evelyn HornDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Arindam RoyChoudhuryDivision of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Richard B DevereuxDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Jonathan W WeinsaftDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Jiwon KimDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York. Electronic address: jik9027@med.cornell.edu.

Funding

POSTDOCTORAL TRAINING IN CARDIOVASCULAR DISEASET32HL007854 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Marwah Abdalla, Michael Argenziano · 1996 to 2026
$14.7M
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
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
NHLBI NIH HHS K23 HL140092NHLBI NIH HHS R01 HL128278NHLBI NIH HHS T32 HL007854
6 · The paper itself

Abstract

backgroundRight ventricular hypertrophy (RVH) provides a key remodeling index alterable by pulmonary hypertension. Although echocardiography commonly integrates linear wall thickness and chamber dimensions to quantify left ventricular remodeling, the utility of an equivalent right ventricular (RV)-based approach is unknown.

methodsThis was a retrospective analysis of 200 patients undergoing transthoracic echocardiography and cardiac magnetic resonance (CMR) within 30 days (median = 3 days; interquartile range, 15 days), stratified by echocardiography-quantified pulmonary artery systolic pressure (<35, 35 to <55, 55 to <75, or ≥75 mm Hg). Echocardiographic assessment included RV linear dimensions in parasternal long-axis and apical four-chamber views and wall thicknesses in parasternal long-axis, four-chamber, and subcostal views. Subcostal wall thickness was integrated with chamber diameters to calculate RV mass, which was tested in relation to CMR-quantified RV mass and all-cause mortality.

resultsEchocardiography-based quantification of all linear dimensions was feasible in 95% of patients (190 of 200). RV wall thicknesses in all orientations increased in relation to pulmonary artery systolic pressure (P < .001) and was greater among patients with, versus those without, CMR-evidenced RVH (P < .001 for all). Correlations between echocardiography and CMR were greatest for RV basal diameter (r = 0.73), RV subcostal wall thickness (r = 0.71), and global RV mass (r = 0.82; P < .001 for all). Echocardiography-derived global RV mass cutoffs were established in a derivation cohort and tested in a validation cohort. Results demonstrated good sensitivity and specificity (75.5% and 74.0%, respectively) in relation to CMR-quantified RVH. During follow-up (median, 4.2 years), 18% of patients (n = 36) died. Echocardiography-evidenced RVH (hazard ratio, 1.98; 95% CI, 1.09-3.88; P = .048) conferred similar mortality risk compared with RVH on CMR (hazard ratio, 2.41; 95% CI, 1.22-4.78; P = .01).

conclusionsEchocardiography-quantified RV parameters provide a robust index of RV afterload. Global RV mass calculated using a novel echocardiographic formula based on readily available linear indices yields good diagnostic performance for CMR-evidenced RVH and confers increased mortality risk.

Indexed as

Ventricular Dysfunction, RightAlgorithmsEchocardiographyHumansMagnetic Resonance SpectroscopyPrognosisRetrospective StudiesStroke VolumeVentricular Function, RightCardiac magnetic resonanceEchocardiographyRight ventricular hypertrophy

Identifiers

PMID33716162
PMCPMC8349849

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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.