Evidence map›Paper›PMID 35622359›Full record

ArticleJAMA network open2022

Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia.

Julián N Acosta, Cameron P Both, Cyprien Rivier, Natalia Szejko, Audrey C Leasure, Thomas M Gill, Seyedmehdi Payabvash, Kevin N Sheth, Guido J Falcone

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Impact of mid-life cardiovascular health on cognitive change in a bi-ethnic cohort.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Julián N AcostaDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Cameron P BothDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Cyprien RivierDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Natalia SzejkoDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Audrey C LeasureDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Thomas M GillDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Seyedmehdi PayabvashDepartment of Radiology, Yale School of Medicine, New Haven, Connecticut.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Guido J FalconeDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
CTP to predict Response to recanalization in Ischemic Stroke Project (CRISP)R01NS075209 · NINDS · STANFORD UNIVERSITY · PI LANSBERG, MAARTEN G · 2011 to 2023
$6.0M
The Recovery in Stroke Using PAP (RISE UP) StudyR01NR018335 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, SHETH, KEVIN NAVIN · 2019 to 2023
$3.4M
Southern New England Partnership In Stroke Research, Innovation and Treatment (SPIRIT)U24NS107215 · NINDS · YALE UNIVERSITY · PI MARK Jay ALBERTS, Karen L Furie · 2018 to 2026
$3.0M
Improved glyburide therapy via acid- triggered release functional nanoparticles and therapeutic imagingR01NS110721 · NINDS · YALE UNIVERSITY · PI SHETH, KEVIN NAVIN, ZHOU, JIANGBING · 2019 to 2023
$1.9M
Yale Clinical Site: Investigations For Improved Neurological Treatments at Yale (INFINITY)U24NS107136 · NINDS · YALE UNIVERSITY · PI SHETH, KEVIN NAVIN, SPUDICH, SERENA S · 2018 to 2022
$1.7M
Yale site for Stroke Preclinical Assessment Network (SPAN) for Acute NeuroprotectionU01NS113445 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2019 to 2021
$1.2M
Intensive Blood Pressure Reduction in Deep Intracerebral HemorrhageR03NS112859 · NINDS · YALE UNIVERSITY · PI FALCONE, GUIDO JOSE, SHETH, KEVIN NAVIN · 2019 to 2020
$84k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIA NIH HHS K76 AG059992NIA NIH HHS P30 AG021342NINDS NIH HHS R01 NS075209NINDS NIH HHS R01 NS110721NINDS NIH HHS R03 NS112859NINDS NIH HHS U01 NS106513NINDS NIH HHS U01 NS113445NINDS NIH HHS U24 NS107136NINDS NIH HHS U24 NS107215NINR NIH HHS R01 NR018335
6 · The paper itself

Abstract

Importance: The American Heart Association (AHA) Life's Simple 7 (LS7) score captures 7 biological and lifestyle factors associated with promoting cardiovascular health. Objectives: To test whether healthier LS7 profiles are associated with significant brain health benefits in persons without stroke or dementia, and to evaluate whether genomic information can recapitulate the observed LS7. Design, Setting, and Participants: This genetic association study was a nested neuroimaging study within the UK Biobank, a large population-based cohort study in the United Kingdom. Between March 2006 and October 2010, the UK Biobank enrolled 502 480 community-dwelling persons aged 40 to 69 years at recruitment. This study focused on a subset of 35 914 participants without stroke or dementia who completed research brain magnetic resonance imaging (MRI) and had available genome-wide data. All analyses were conducted between March 2021 and March 2022. Exposures: The LS7 (blood pressure, low-density lipoprotein cholesterol, hemoglobin A1c, smoking, exercise, diet, and body mass index) profiles were ascertained clinically and genomically. Independent genetic variants known to influence each of the traits included in the LS7 were assessed. The total LS7 score ranges from 0 (worst) to 14 (best) and was categorized as poor (≤4), average (>4 to 9) and optimal (>9). Main Outcomes and Measures: The outcomes of interest were 2 neuroimaging markers of brain health: white matter hyperintensity (WMH) volume and brain volume (BV). Results: The final analytical sample included 35 914 participants (mean [SD] age 64.1 [7.6] years; 18 830 [52.4%] women). For WMH, compared with persons with poor observed LS7 profiles, those with average profiles had 16% (β = -0.18; SE, 0.03; P < .001) lower mean volume and those with optimal profiles had 39% (β = -0.39; SE, 0.03; P < .001) lower mean volume. Similar results were obtained using the genomic LS7 for WMH (average LS7 profile: β = -0.06; SE, 0.014; P < .001; optimal LS7 profile: β = -0.08; SE, 0.018; P < .001). For BV, compared with persons with poor observed LS7 profiles, those with average LS7 profiles had 0.55% (β = 0.09; SE, 0.02; P < .001) higher volume, and those with optimal LS7 profiles had 1.9% (β = 0.14; SE, 0.02; P < .001) higher volume. The genomic LS7 profiles were not associated with BV. Conclusions and Relevance: These findings suggest that healthier LS7 profiles were associated with better profiles of 2 neuroimaging markers of brain health in persons without stroke or dementia, indicating that cardiovascular health optimization was associated with improved brain health in asymptomatic persons. Genomic information appropriately recapitulated 1 of these associations, confirming the feasibility of modeling the LS7 genomically and pointing to an important role of genetic predisposition in the observed association among cardiometabolic and lifestyle factors and brain health.

Indexed as

DementiaStrokeAdultBiomarkersBrainCohort StudiesFemaleGenomicsHumansMaleNeuroimagingRisk FactorsUnited StatesBiomarkers

Identifiers

PMID35622359
PMCPMC9142873

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.