Evidence map›Paper›PMID 35900282›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2023

Subclinical left ventricular systolic dysfunction and incident stroke in the elderly: long-term findings from Cardiovascular Abnormalities and Brain Lesions.

Yuriko Yoshida, Zhezhen Jin, Cesare Russo, Shunichi Homma, Koki Nakanishi, Kazato Ito, Carlo Mannina, Mitchell S V Elkind, Tatjana Rundek, Mitsuhiro Yoshita and 4 more

Open access · greenAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Sleep Duration and Subclinical Left Ventricular Dysfunction in Older Adults.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2025
    Article
  5. Article
  6. Systemic determinants of brain health in ageing.Nature reviews. Neurology · 2024
    Review
  7. Article
  8. 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

14 authors at 1 institution in 1 country.

Yuriko YoshidaDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Zhezhen JinDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Cesare RussoDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Shunichi HommaDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Koki NakanishiDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.ORCID 0000-0002-5787-8004
Kazato ItoDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Carlo ManninaDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Mitchell S V ElkindDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Tatjana RundekDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Mitsuhiro YoshitaDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Charles DeCarliDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Clinton B WrightDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Ralph L SaccoDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Marco R Di TullioDepartment of Medicine, Division of Cardiology, Columbia university Irving Medical Center, 630 W 168th St, New York, NY 10032, USA.
Columbia University Irving Medical Center · US

Funding

UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEE-WAY JIN · 2021 to 2026
$25.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
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
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
ARCH PLAQUES AND STROKE IN AN ETHNICALLY MIXED COMMUNITYR01NS036286 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DI TULLIO, MARCO R · 1997 to 2009
$3.4M
NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG054076NIA NIH HHS RF1 AG059421NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS36286
6 · The paper itself

Abstract

aimsHeart disease is associated with an increased risk for ischaemic stroke. However, the predictive value of reduced left ventricular ejection fraction (LVEF) for stroke is controversial and only observed in patients with severe reduction. LV global longitudinal strain (LV GLS) can detect subclinical LV systolic impairment when LVEF is normal. We investigated the prognostic role of LV GLS for incident stroke in a predominantly elderly cohort. METHODS AND

resultsTwo-dimensional echocardiography with speckle tracking was performed in the Cardiac Abnormalities and Brain Lesions (CABL) study. Among 708 stroke-free participants (mean age 71.4 ± 9.4 years, 60.9% women), abnormal LV GLS (>-14.7%: 95% percentile of the subgroup without risk factors) was detected in 133 (18.8%). During a mean follow-up of 10.8 ± 3.9 years, 47 participants (6.6%) experienced an ischaemic stroke (26 cardioembolic or cryptogenic, 21 other subtypes). The cumulative incidence of ischaemic stroke was significantly higher in participants with abnormal LV GLS than with normal LV GLS (P < 0.001). In multivariate stepwise logistic regression analysis, abnormal LV GLS was associated with ischaemic stroke independently of cardiovascular risk factors including LVEF, LV mass, left atrial volume, subclinical cerebrovascular disease at baseline, and incident atrial fibrillation [hazard ratio (HR): 2.69, 95% confidence interval (CI): 1.47-4.92; P = 0.001]. Abnormal LV GLS independently predicted cardioembolic or cryptogenic stroke (adjusted HR: 3.57, 95% CI: 1.51-8.43; P = 0.004) but not other subtypes.

conclusionLV GLS was a strong independent predictor of ischaemic stroke in a predominantly elderly stroke-free cohort. Our findings provide insights into the brain-heart interaction and may help improve stroke primary prevention strategies.

Indexed as

Brain IschemiaStrokeVentricular Dysfunction, LeftAgedAged, 80 and overBrainCardiovascular AbnormalitiesFemaleHumansIschemic StrokeMaleMiddle AgedStroke VolumeVentricular Function, Leftstroke • left ventricular function • global longitudinal strain • speckle-tracking echocardiography

Identifiers

PMID35900282
PMCPMC10226754
OpenAlexW4288447597

What OpenQuestion holds

Textmetadata
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.