Evidence map›Paper›PMID 33987659›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2022

Associations of cognitive performance with cardiovascular magnetic resonance phenotypes in the UK Biobank.

Zahra Raisi-Estabragh, Amine M'Charrak, Celeste McCracken, Luca Biasiolli, Maddalena Ardissino, Elizabeth M Curtis, Nay Aung, Claudia K Suemoto, Clare Mackay, Sana Suri and 4 more

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In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Zahra Raisi-EstabraghCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0002-7757-5465
Amine M'CharrakDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.
Celeste McCrackenCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0003-1285-2393
Luca BiasiolliDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.ORCID 0000-0002-0452-8756
Maddalena ArdissinoFaculty of Medicine, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-2654-8117
Elizabeth M CurtisMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-5147-0550
Nay AungCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0001-5095-1611
Claudia K SuemotoDivision of Geriatrics, Department of Internal Medicine, University of Sao Paulo Medical School, Sao Paulo, Brazil.ORCID 0000-0002-5942-4778
Clare MackayDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0001-6111-8318
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0002-5136-8302
Thomas E NicholsNuffield Department of Population Health, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-4516-5103
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-8194-2512
Steffen E PetersenCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0003-4622-5160
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.

Funding

British Heart Foundation FS/17/81/33318British Heart Foundation PG/14/89/31194British Heart Foundation PG/15/74/31747Medical Research Council G0400491Medical Research Council MC_PC_17228Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_QA137853Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Wellcome Trust 203553/Z/16/Z
6 · The paper itself

Abstract

aimsExisting evidence suggests links between brain and cardiovascular health. We investigated associations between cognitive performance and cardiovascular magnetic resonance (CMR) phenotypes in the UK Biobank, considering a range of potential confounders. METHODS AND

resultsWe studied 29 763 participants with CMR and cognitive testing, specifically, fluid intelligence (FI, 13 verbal-numeric reasoning questions), and reaction time (RT, a timed pairs matching exercise); both were considered continuous variables for modelling. We included the following CMR metrics: left and right ventricular (LV and RV) volumes in end-diastole and end-systole, LV/RV ejection fractions, LV/RV stroke volumes, LV mass, and aortic distensibility. Multivariable linear regression models were used to estimate the association of each CMR measure with FI and RT, adjusting for age, sex, smoking, education, deprivation, diabetes, hypertension, high cholesterol, prior myocardial infarction, alcohol intake, and exercise level. We report standardized beta-coefficients, 95% confidence intervals, and P-values adjusted for multiple testing. In this predominantly healthy cohort (average age 63.0 ± 7.5 years), better cognitive performance (higher FI, lower RT) was associated with larger LV/RV volumes, higher LV/RV stroke volumes, greater LV mass, and greater aortic distensibility in fully adjusted models. There was some evidence of non-linearity in the relationship between FI and LV end-systolic volume, with reversal of the direction of association at very high volumes. Associations were consistent for men and women and in different ages.

conclusionBetter cognitive performance is associated with CMR measures likely representing a healthier cardiovascular phenotype. These relationships remained significant after adjustment for a range of cardiometabolic, lifestyle, and demographic factors, suggesting possible involvement of alternative disease mechanisms.

Indexed as

Biological Specimen BanksCognitionFemaleHumansMagnetic Resonance SpectroscopyMalePhenotypeUnited Kingdombraincardiovascular diseasecardiovascular magnetic resonancecognitiondementiaheart–brain axisvascular risk factors

Identifiers

PMID33987659
PMCPMC9016359

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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.