Evidence map›Paper›PMID 29361479›Full record

ArticleJACC. Cardiovascular imaging2018

Feature-Tracking Global Longitudinal Strain Predicts Death in a Multicenter Population of Patients With Ischemic and Nonischemic Dilated Cardiomyopathy Incremental to Ejection Fraction and Late Gadolinium Enhancement.

Simone Romano, Robert M Judd, Raymond J Kim, Han W Kim, Igor Klem, John F Heitner, Dipan J Shah, Jennifer Jue, Brent E White, Raksha Indorkar and 2 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 3 pooled it
24.2field-weighted citation impact, top 1% 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

149 citing papers in PubMed, 3 syntheses or guidelines pooled it, 283 citations in OpenAlex.

  1. Pooled it
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  8. Layer-specific fast strain-encoded cardiovascular magnetic resonance in suspected acute coronary syndrome: a prospective study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  14. Clinical and prognostic impact of left atrial strain in non-ischemic cardiomyopathies.The international journal of cardiovascular imaging · 2026
    Review
  15. Sudden cardiac death in stable coronary artery disease: A literature review.American heart journal plus : cardiology research and practice · 2026
    Review
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Simone RomanoDivision of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois; Department of Medicine, University of Verona, Verona, Italy.
Robert M JuddDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Raymond J KimDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Han W KimDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Igor KlemDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
John F HeitnerDepartment of Cardiology, New York Methodist Hospital, New York, New York.
Dipan J ShahHouston Methodist DeBakey Heart & Vascular Center, Houston, Texas.
Jennifer JueDivision of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Brent E WhiteDivision of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Raksha IndorkarDivision of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Chetan ShenoyDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Afshin Farzaneh-FarDivision of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois. Electronic address: afshin@uic.edu.
Duke University · USUniversity of Illinois Chicago · USHouston Methodist · USNewYork–Presbyterian Brooklyn Methodist Hospital · USUniversity of Verona · IT

Funding

Delayed-Enhancement Cardiac MRI: Prognostic Implications and Improved ImagingR01HL064726 · NHLBI · NORTHWESTERN UNIVERSITY · PI KIM, RAYMOND J · 2001 to 2014
$4.1M
Cardiac Fibrosis and Risk Prediction in Cancer Treatment-Related CardiotoxicityK23HL132011 · NHLBI · UNIVERSITY OF MINNESOTA · PI SHENOY, CHETAN N · 2016 to 2020
$884k
NHLBI NIH HHS K23 HL132011NHLBI NIH HHS R01 HL064726
6 · The paper itself

Abstract

objectivesThe aim of this study was to evaluate the prognostic value of cardiac magnetic resonance (CMR) feature-tracking-derived global longitudinal strain (GLS) in a large multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy.

backgroundDirect assessment of myocardial fiber deformation with GLS using echocardiography or CMR feature tracking has shown promise in providing prognostic information incremental to ejection fraction (EF) in single-center studies. Given the growing use of CMR for assessing persons with left ventricular (LV) dysfunction, we hypothesized that feature-tracking-derived GLS may provide independent prognostic information in a multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy.

methodsConsecutive patients at 4 U.S. medical centers undergoing CMR with EF <50% and ischemic or nonischemic dilated cardiomyopathy were included in this study. Feature-tracking GLS was calculated from 3 long-axis cine-views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the association between GLS and death. Incremental prognostic value of GLS was assessed in nested models.

resultsOf the 1,012 patients in this study, 133 died during median follow-up of 4.4 years. By Kaplan-Meier analysis, the risk of death increased significantly with worsening GLS tertiles (log-rank p < 0.0001). Each 1% worsening in GLS was associated with an 89.1% increased risk of death after adjustment for clinical and imaging risk factors including EF and late gadolinium enhancement (LGE) (hazard ratio [HR]:1.891 per %; p < 0.001). Addition of GLS in this model resulted in significant improvement in the C-statistic (0.628 to 0.867; p < 0.0001). Continuous net reclassification improvement (NRI) was 1.148 (95% confidence interval: 0.996 to 1.318). GLS was independently associated with death after adjustment for clinical and imaging risk factors (including EF and late gadolinium enhancement) in both ischemic (HR: 1.942 per %; p < 0.001) and nonischemic dilated cardiomyopathy subgroups (HR: 2.101 per %; p < 0.001).

conclusionsCMR feature-tracking-derived GLS is a powerful independent predictor of mortality in a multicenter population of patients with ischemic or nonischemic dilated cardiomyopathy, incremental to common clinical and CMR risk factors including EF and LGE.

Indexed as

Magnetic Resonance Imaging, CineStroke VolumeVentricular Function, LeftAdultAgedCardiomyopathy, DilatedContrast MediaGadoliniumHumansMiddle AgedMyocardial InfarctionObserver VariationPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsContrast MediaGadoliniumcardiac magnetic resonance imagingcardiomyopathyfeature trackingglobal longitudinal strainleft ventricular functionmortalityprognosis

Identifiers

PMID29361479
PMCPMC6043421
OpenAlexW2787608282

What OpenQuestion holds

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Registered trials

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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.