Evidence map›Paper›PMID 26253626›Full record

ArticleCirculation. Cardiovascular imaging2015

Left Ventricular Systolic Dysfunction by Longitudinal Strain Is an Independent Predictor of Incident Atrial Fibrillation: A Community-Based Cohort Study.

Cesare Russo, Zhezhen Jin, Fusako Sera, Edward S Lee, Shunichi Homma, Tatjana Rundek, Mitchell S V Elkind, Ralph L Sacco, Marco R Di Tullio

Abstract read
In one paragraph

Article in Circulation. Cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Echocardiographic strain imaging and progression of atrial fibrillation in low-risk individuals.International journal of cardiology. Heart & vasculature · 2026
    Article
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  7. Review
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  12. Review
  13. Deep learning automates detection of wall motion abnormalitiesFrontiers in cardiovascular medicine · 2022
    Article
  14. Global longitudinal strain predicts atrial fibrillation in individuals without hypertension: A Community-based cohort study.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Article
  15. Article
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  18. Review
  19. Article
  20. Prognostic Significance of Echocardiographic Measures of Cardiac Remodeling.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Cesare RussoFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL. cr2321@cumc.columbia.edu.
Zhezhen JinFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Fusako SeraFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Edward S LeeFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Shunichi HommaFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Tatjana RundekFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Mitchell S V ElkindFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Ralph L SaccoFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
Marco R Di TullioFrom the Division of Cardiology, Department of Medicine (C.R., F.S., E.S.L., S.H., M.R.D.T.), Department of Biostatistics (Z.J.), and Departments of Neurology and Epidemiology (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (T.R., R.L.S.), Department of Epidemiology and Public Health (T.R., R.L.S.), and Department of Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL.
University of Miami · US

Funding

STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
ARCH PLAQUES AND STROKE IN AN ETHNICALLY MIXED COMMUNITYR01NS036286 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DI TULLIO, MARCO R · 1997 to 2009
$3.4M
Prevalence and predictors of asymptomatic atrial fibrillation in the communityR01NS083784 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DI TULLIO, MARCO R · 2014 to 2018
$3.0M
NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS036286NINDS NIH HHS R01 NS083784NINDS NIH HHS R01 NS36286NINDS NIH HHS R37 NS029993NINDS NIH HHS R37 NS29993
6 · The paper itself

Abstract

backgroundThe increasing prevalence of atrial fibrillation (AF) represents a public health issue. Identifying new predictors of AF is therefore necessary to plan preventive strategies. We investigated whether left ventricular (LV) systolic dysfunction by global longitudinal strain (GLS), a predictor of cardiovascular events, may predict new-onset AF in a population setting. METHODS AND

resultsParticipants (n=675; mean age, 71±9 years; 60% women) in sinus rhythm from the population-based Northern Manhattan Study (NOMAS) underwent 2- and 3-dimensional echocardiography as part of the Cardiac Abnormalities and Brain Lesions (CABL) study. LV systolic function was assessed by LV ejection fraction and speckle-tracking GLS. During a mean follow-up of 63.6±18.7 months, 32 (4.7%) new confirmed cases of AF occurred. Lower GLS (adjusted hazard ratio/unit decrease, 1.22; 95% confidence interval, 1.04-1.43; P=0.015) and increased left atrial volume index (LAVi; adjusted hazard ratio/unit increase, 1.12; 95% confidence interval, 1.07-1.17; P<0.001) were significantly associated with incident AF, whereas LV ejection fraction was not (P=0.176). Abnormal GLS (>-14.7%) was associated with risk of new-onset AF with an adjusted hazard ratio of 3.2 (95% confidence interval, 1.4-7.5; P=0.007). The coexistence of abnormal GLS/abnormal LAVi was associated with a 28.6% incidence of AF (adjusted hazard ratio, 12.1; 95% confidence interval, 3.3-44.8; P<0.001) compared with participants with normal GLS/normal LAVi (AF incidence, 2.0%). AF incidence was intermediate in those with either abnormal GLS or abnormal LAVi (9.3% and 11.1%, respectively). GLS prognostic value for incident AF was incremental over risk factors and LAVi.

conclusionsLV systolic dysfunction by GLS was a powerful and independent predictor of incident AF. GLS assessment may improve AF risk stratification in addition to established parameters.

Indexed as

Myocardial ContractionVentricular Function, LeftAgedAged, 80 and overAtrial FibrillationBiomechanical PhenomenaEchocardiography, Three-DimensionalFemaleHumansIncidenceMaleMiddle AgedNew York CityProspective StudiesRisk AssessmentRisk Factorsatrial fibrillationechocardiographysystoleventricular dysfunction, left

Identifiers

PMID26253626
PMCPMC4531260
OpenAlexW2104591349

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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.