Evidence map›Paper›PMID 34907415›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2022

Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study.

Zahra Raisi-Estabragh, Celeste McCracken, Dorina Condurache, Nay Aung, Jose D Vargas, Hafiz Naderi, Patricia B Munroe, Stefan Neubauer, Nicholas C Harvey, Steffen E Petersen

Erratum issuedOpen access · hybridAbstract read
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. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Left Atrial Hemodynamics and Clinical Utility in Heart Failure.Reviews in cardiovascular medicine · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank.European heart journal. Cardiovascular Imaging · 2023
    Article
  15. Observational
  16. Review
  17. Article
  18. The use of dedicated long-axis views focused on the left atrium improves the accuracy of left atrial volumes and emptying fraction measured by cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0002-7757-5465
Celeste McCrackenDivision 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.
Dorina ConduracheLondon North West University Healthcare NHS Trust, Harrow HA1 3UJ, UK.
Nay AungWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0001-5095-1611
Jose D VargasWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Hafiz NaderiWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Patricia B MunroeWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
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.ORCID 0000-0001-9017-5645
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0003-4622-5160
St Bartholomew's Hospital · GBNational Institute for Health Research · GBQueen Mary University of London · GBLondon North West Healthcare NHS Trust · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

British Heart Foundation CH/1996001/9454British Heart Foundation FS/17/81/33318British Heart Foundation PG/14/89/31194Medical Research Council G0400491Medical Research Council MC_PC_17228Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_PC_21022Medical Research Council MC_QA137853Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MR/L016311/1Wellcome Trust 203553Wellcome Trust 203553/Z/16/Z
6 · The paper itself

Abstract

aimsWe evaluated the associations of left atrial (LA) structure and function with prevalent and incident cardiovascular disease (CVD), independent of left ventricular (LV) metrics, in 25 896 UK Biobank participants. METHODS AND

resultsWe estimated the association of cardiovascular magnetic resonance (CMR) metrics [LA maximum volume (LAV), LA ejection fraction (LAEF), LV mass : LV end-diastolic volume ratio (LVM : LVEDV), global longitudinal strain, and LV global function index (LVGFI)] with vascular risk factors (hypertension, diabetes, high cholesterol, and smoking), prevalent and incident CVDs [atrial fibrillation (AF), stroke, ischaemic heart disease (IHD), myocardial infarction], all-cause mortality, and CVD mortality. We created uncorrelated CMR variables using orthogonal principal component analysis rotation. All five CMR metrics were simultaneously entered into multivariable regression models adjusted for sex, age, ethnicity, deprivation, education, body size, and physical activity. Lower LAEF was associated with diabetes, smoking, and all the prevalent and incident CVDs. Diabetes, smoking, and high cholesterol were associated with smaller LAV. Hypertension, IHD, AF (incident and prevalent), incident stroke, and CVD mortality were associated with larger LAV. LV and LA metrics were both independently informative in associations with prevalent disease, however LAEF showed the most consistent associations with incident CVDs. Lower LVGFI was associated with greater all-cause and CVD mortality. In secondary analyses, compared with LVGFI, LV ejection fraction showed similar but less consistent disease associations.

conclusionLA structure and function measures (LAEF and LAV) demonstrate significant associations with key prevalent and incident cardiovascular outcomes, independent of LV metrics. These measures have potential clinical utility for disease discrimination and outcome prediction.

Indexed as

Atrial FibrillationDiabetes MellitusHypertensionStrokeBiological Specimen BanksCholesterolHeart AtriaHumansPredictive Value of TestsUnited KingdomVentricular Function, LeftCholesterolatrial fibrillationcardiovascular magnetic resonancecardiovascular outcomesischaemic heart diseaselefleft ventriclemortalitystroket atriumvascular risk factors

Identifiers

PMID34907415
PMCPMC9365306
OpenAlexW4200390082

What Socratic 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 Socratic graph.