Evidence map›Paper›PMID 37407123›Full record

ArticleJACC. Cardiovascular imaging2023

Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging.

Elisa Rauseo, Ahmed Salih, Zahra Raisi-Estabragh, Nay Aung, Neha Khanderia, Gregory G Slabaugh, Charles R Marshall, Stefan Neubauer, Petia Radeva, Ilaria Boscolo Galazzo and 2 more

Open access · hybridAbstract read
In one paragraph

Article in JACC. Cardiovascular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  13. Effect of abdominal adipose tissue glucose uptake on brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 3 countries.

Elisa RauseoWilliam Harvey Research Institute, National Institute for Health Research (NIHR) Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London, United Kingdom.
Ahmed SalihWilliam Harvey Research Institute, National Institute for Health Research (NIHR) Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London, United Kingdom; Department of Computer Science, University of Verona, Verona, Italy.
Zahra Raisi-EstabraghWilliam Harvey Research Institute, National Institute for Health Research (NIHR) Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London, United Kingdom.
Nay AungWilliam Harvey Research Institute, National Institute for Health Research (NIHR) Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London, United Kingdom.
Neha KhanderiaImperial College Healthcare NHS Trust, London, United Kingdom.
Gregory G SlabaughSchool of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom; Alan Turing Institute, London, United Kingdom; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom.
Charles R MarshallPreventive Neurology Unit, Wolfson Institute of Population Health, Charterhouse Square, London, United Kingdom; Neurology Department, Royal London Hospital, Barts Health NHS Trust, London, United Kingdom.
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Petia RadevaDepartment of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain.
Ilaria Boscolo GalazzoDepartment of Computer Science, University of Verona, Verona, Italy.
Gloria MenegazDepartment of Computer Science, University of Verona, Verona, Italy. Electronic address: gloria.menegaz@univr.it.
Steffen E PetersenWilliam Harvey Research Institute, National Institute for Health Research (NIHR) Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London, United Kingdom; Alan Turing Institute, London, United Kingdom; Health Data Research UK, London, United Kingdom. Electronic address: s.e.petersen@qmul.ac.uk.
National Health Service · GBUniversity of Verona · ITBarts Health NHS Trust · GBImperial College Healthcare NHS Trust · GBQueen Mary University of London · GBUniversitat de Barcelona · ESUniversity of Oxford · GB

Funding

British Heart Foundation FS/17/81/33318
6 · The paper itself

Abstract

backgroundIschemic heart disease (IHD) has been linked with poor brain outcomes. The brain magnetic resonance imaging-derived difference between predicted brain age and actual chronological age (brain-age delta in years, positive for accelerated brain aging) may serve as an effective means of communicating brain health to patients to promote healthier lifestyles.

objectivesThe authors investigated the impact of prevalent IHD on brain aging, potential underlying mechanisms, and its relationship with dementia risk, vascular risk factors, cardiovascular structure, and function.

methodsBrain age was estimated in subjects with prevalent IHD (n = 1,341) using a Bayesian ridge regression model with 25 structural (volumetric) brain magnetic resonance imaging features and built using UK Biobank participants with no prevalent IHD (n = 35,237).

resultsPrevalent IHD was linked to significantly accelerated brain aging (P < 0.001) that was not fully mediated by microvascular injury. Brain aging (positive brain-age delta) was associated with increased risk of dementia (OR: 1.13 [95% CI: 1.04-1.22]; P = 0.002), vascular risk factors (such as diabetes), and high adiposity. In the absence of IHD, brain aging was also associated with cardiovascular structural and functional changes typically observed in aging hearts. However, such alterations were not linked with risk of dementia.

conclusionsPrevalent IHD and coexisting vascular risk factors are associated with accelerated brain aging and risk of dementia. Positive brain-age delta representing accelerated brain aging may serve as an effective communication tool to show the impact of modifiable risk factors and disease supporting preventative strategies.

Indexed as

DementiaMyocardial IschemiaAgingBayes TheoremBrainHumansPredictive Value of TestsRisk Factorsbrain agingbrain healthcognitive declineischemic heart diseasevascular risk factors

Identifiers

PMID37407123
PMCPMC10317841
OpenAlexW4365139924

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.