Evidence map›Paper›PMID 33865769›Full record

ArticleJACC. Cardiovascular imaging2021

Prognostic Value of Feature-Tracking Right Ventricular Longitudinal Strain in Severe Functional Tricuspid Regurgitation: A Multicenter Study.

Simone Romano, Davide Dell'atti, Robert M Judd, Raymond J Kim, Jonathan W Weinsaft, Jiwon Kim, John F Heitner, Rebecca T Hahn, Afshin Farzaneh-Far

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

Article in JACC. Cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 51 citations in OpenAlex.

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  7. Short-term outcome after isolated tricuspid valve surgery: prognostic role of right ventricular strain.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Simone RomanoDepartment of Internal Medicine, University of Verona, Verona, Italy.
Davide Dell'attiDepartment of Internal Medicine, University of Verona, Verona, Italy.
Robert M JuddDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA.
Raymond J KimDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA.
Jonathan W WeinsaftDivision of Cardiology, Weill Cornell Medical College, New York, New York, USA.
Jiwon KimDivision of Cardiology, Weill Cornell Medical College, New York, New York, USA.
John F HeitnerDepartment of Cardiology, New York Methodist Hospital, New York, New York, USA.
Rebecca T HahnStructural Heart and Valve Center, Columbia University, New York, New York, USA.
Afshin Farzaneh-FarDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA. Electronic address: aff25@hotmail.com.
Cornell University · USDuke University · USUniversity of Verona · ITNewYork–Presbyterian Brooklyn Methodist Hospital · USUniversity of Illinois Chicago · USValve (United States) · US

Funding

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
NHLBI NIH HHS R01 HL128278
6 · The paper itself

Abstract

objectivesThis study sought to evaluate the prognostic value of cardiac magnetic resonance (CMR) feature-tracking-derived right ventricular (RV) free wall longitudinal strain (RVFWLS) in a large multicenter population of patients with severe functional tricuspid regurgitation.

backgroundTricuspid regurgitation imposes a volume overload on the RV that can lead to progressive RV dilation and dysfunction. Overt RV dysfunction is associated with poor prognosis and increased operative risk. Abnormalities of myocardial strain may provide the earliest evidence of ventricular dysfunction. CMR feature-tracking techniques now allow assessment of strain from routine cine images, without specialized pulse sequences. Whether abnormalities of RV strain measured using CMR feature tracking have prognostic value in patients with tricuspid regurgitation is unknown.

methodsConsecutive patients with severe functional tricuspid regurgitation undergoing CMR at 4 U.S. medical centers were included in this study. Feature-tracking RVFWLS was calculated from 4-chamber cine views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the independent association between RVFWLS and death. The incremental prognostic value of RVFWLS was assessed in nested models.

resultsOf the 544 patients in this study, 128 died during a median follow-up of 6 years. By Kaplan-Meier analysis, patients with RVFWLS ≥median (-16%) had significantly reduced event-free survival compared with those with RVFWLS <median (log-rank p < 0.001). By Cox multivariable regression modeling, RVFWLS was associated with increased risk-of-death after adjustment for clinical and imaging risk factors, including RV size and ejection fraction (hazard ratio: 1.14 per %; p < 0.001). Addition of RVFWLS in this model resulted in significant improvement in the global chi-square (31 to 78; p < 0.001).

conclusionsCMR feature-tracking-derived RVFWLS is an independent predictor of mortality in patients with severe functional tricuspid regurgitation, incremental to common clinical and imaging risk factors.

Indexed as

Tricuspid Valve InsufficiencyVentricular Dysfunction, RightHeart VentriclesHumansPredictive Value of TestsPrognosiscardiac magnetic resonancefeature trackingglobal longitudinal strainmortalityprognosisright ventricular functiontricuspid regurgitation

Identifiers

PMID33865769
PMCPMC8349765
OpenAlexW3155111034

What OpenQuestion holds

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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.