Evidence map›Paper›PMID 41168493›Full record

Observational studyEuropean radiology2026

Demographic and cardiovascular risk factors associated with blood flow characteristics of the left atrium and left atrial appendage.

Maurice Pradella, Justin J Baraboo, Stanley H Chu, Anthony Maroun, Julia M Hwang, Mitchell A Collins, Amanda L DiCarlo, Elizabeth K Weiss, Lihui Zhao, Rod Passman and 3 more

Abstract readObservational Study
In one paragraph

Observational study in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Maurice PradellaDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Maurice.pradella@usb.ch.ORCID http://orcid.org/0000-0003-2449-7835
Justin J BarabooDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Stanley H ChuDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Anthony MarounDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Julia M HwangDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Mitchell A CollinsDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Amanda L DiCarloDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Elizabeth K WeissDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Lihui ZhaoDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Rod PassmanDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Susan R HeckbertDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Philip Greenland *Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Michael Markl *Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

American Heart Association 18SFRN34110170NCATS NIH HHS UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420NHLBI NIH HHS 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168 and N01-HC-95169 and grant R01HL127659
6 · The paper itself

Abstract

objectivesImpaired left atrium (LA) and left atrial appendage (LAA) hemodynamics are risk factors (RF) for atrial thrombus formation and stroke. They can be assessed in vivo using 4D-flow-MRI; however, most studies involve clinical patient samples. We aimed to investigate demographic and cardiovascular (CV)-RF associations with LA and LAA hemodynamics in an observational study sample. MATERIAL AND

methodsParticipants from the multi-ethnic study of atherosclerosis from our institution were approached to undergo cardiac MRI, including 4D-flow-MRI. LA and LAA volume, blood stasis (%voxel with velocity < 0.1 m/s), and peak velocity (PV, top 5% of voxels) were calculated. CV-RF (demographics, history of atrial fibrillation (AF), body mass index (BMI), etc.) were available through study records and investigated in multivariable linear regression models.

resultsOne hundred fifty-eight participants were included (age: 72.8 ± 7.3 years, 53% female). Higher age and AF were associated with lower PV

conclusionWe identified RF associated with impaired LA and LAA hemodynamics in an observational study cohort. KEY POINTS: Question Are there associations of demographic and CV factors with impaired atrial hemodynamics from 4D-flow cardiac MRI? Findings 4D-flow MRI identified, amongst others, higher age, race, history of AF, and BMI in a sub-cohort of the Multi-Ethnic Study of Atherosclerosis. Clinical relevance Understanding risk factor associations with atrial hemodynamics could aid in identifying subclinical atrial thrombus formation risks, potentially allowing for earlier preventive strategies against diseases such as stroke in diverse populations.

Indexed as

Atrial AppendageCardiovascular DiseasesHeart AtriaMagnetic Resonance ImagingAgedAged, 80 and overAtrial FibrillationBlood Flow VelocityFemaleHeart Disease Risk FactorsHemodynamicsHumansMaleMiddle AgedRisk Factors4D-flowCardiovascular risk factorsHemodynamicsLeft atriumMRI

Identifiers

PMID41168493
PMCPMC13035651

What OpenQuestion holds

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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.