Evidence map›Paper›PMID 23902759›Full record

ArticleCirculation2013

Subclinical left ventricular dysfunction and silent cerebrovascular disease: the Cardiovascular Abnormalities and Brain Lesions (CABL) study.

Cesare Russo, Zhezhen Jin, Shunichi Homma, Mitchell S V Elkind, Tatjana Rundek, Mitsuhiro Yoshita, Charles DeCarli, Clinton B Wright, Ralph L Sacco, Marco R Di Tullio

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Left ventricular remodeling and diastolic dysfunction predict cognitive decline in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Review
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  8. Subclinical cardiac dysfunction and circulating markers of brain injury in older adults: The cardiovascular health study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Cesare RussoDepartment of Medicine, Columbia University, New York, NY 10032, USA.
Zhezhen Jin
Shunichi Homma
Mitchell S V Elkind
Tatjana Rundek
Mitsuhiro Yoshita
Charles DeCarli
Clinton B Wright
Ralph L Sacco
Marco R Di Tullio
University of Miami · USUniversity of California, Davis · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
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
NIA NIH HHS P30 AG010129NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS036286NINDS NIH HHS R01 NS36286NINDS NIH HHS R37 NS029993NINDS NIH HHS R37 NS29993
6 · The paper itself

Abstract

backgroundSilent brain infarcts (SBIs) and white matter hyperintensities are subclinical cerebrovascular lesions associated with incident stroke and cognitive decline. Left ventricular ejection fraction (LVEF) is a predictor of stroke in patients with heart failure, but its association with subclinical brain disease in the general population is unknown. Left ventricular global longitudinal strain (GLS) can detect subclinical cardiac dysfunction even when LVEF is normal. We investigated the relationship of LVEF and GLS with subclinical brain disease in a community-based cohort. METHODS AND

resultsLVEF and GLS were assessed by 2-dimensional and speckle-tracking echocardiography in 439 participants free of stroke and cardiac disease from the Cardiovascular Abnormalities and Brain Lesions (CABL) study. SBIs and white matter hyperintensities were assessed by brain MRI. Mean age of the study population was 69±10 years, 61% were women, LVEF was 63.8±6.4%, GLS was -17.1±3.0%. SBIs were detected in 53 participants (12%), white matter hyperintensity volume was 0.63±0.86%. GLS was significantly lower in participants with SBI versus those without (-15.7±3.5% versus -17.3±2.9%, P<0.01), whereas no difference in LVEF was observed (63.3±8.6% versus 63.8±6.0%, P=0.60). In multivariate analysis, lower GLS was associated with SBI (odds ratio/unit decrease=1.18; 95% confidence interval, 1.05-1.33; P<0.01), whereas LVEF was not (odds ratio/unit increase=1.00; 95% confidence interval, 0.96-1.05; P=0.98). Lower GLS was associated with greater white matter hyperintensity volume (adjusted β=0.11, P<0.05), unlike LVEF (adjusted β=-0.04, P=0.42).

conclusionsLower GLS was independently associated with subclinical brain disease in a community-based cohort without overt cardiac disease. GLS can provide additional information on cerebrovascular risk burden beyond LVEF assessment.

Indexed as

Population SurveillanceResidence CharacteristicsAgedBrainCardiovascular AbnormalitiesCerebral InfarctionCerebrovascular DisordersCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesVentricular Dysfunction, Leftbrain infarctionechocardiographyglobal longitudinal strainmagnetic resonance imagingspeckle-trackingventricular ejection fractionwhite matter diseases

Identifiers

PMID23902759
PMCPMC4370621
OpenAlexW2107539197

What OpenQuestion holds

Textmetadata
LicenceTDM
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.