Evidence map›Paper›PMID 40235768›Full record

ArticleQuantitative imaging in medicine and surgery2025

Peak regurgitant diastolic wall shear stress increases in bicuspid aortic valve regurgitation: association of regurgitation severities and aortic root dilation.

Shirin Aliabadi, Carmen Lydell, Louis Kolman, Murad F Bandali, Julio Garcia

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shirin AliabadiDepartment of Biomedical Engineering, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0009-0009-7228-5790
Carmen LydellStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
Louis KolmanStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
Murad F BandaliStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
Julio GarciaStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bicuspid aortic valve (BAV) disease, especially with regurgitation, lacks adequate clinical management. While root aortopathy is often attributed to genetic factors and aortic regurgitation, the diastolic hemodynamic characteristics in BAV patients with varying regurgitation severities are not well understood. Flow-derived velocity-weighted flow displacement (FD) and wall shear stress (WSS) are linked to aortopathy progression. We sought to evaluate peak systolic and peak regurgitant diastolic regional WSS and FD at the aortic root in BAV patients with regurgitation (BAV-REG) and BAV patients without or with trivial regurgitation (BAV-No/Trivial REG). Methods: To conduct this retrospective study, a total of 98 subjects (N=38 BAV-No/Trivial REG, age: 48±16 years, N=35 BAV-REG, age: 52±13 years, and N=25 healthy, age: 38±14 years) were recruited. All subjects underwent routine cardiac magnetic resonance imaging (MRI) followed by four-dimensional cardiovascular magnetic resonance flow imaging using a 3.0 Tesla MRI scanner. Regional peak systolic (WSS Results: BAV-REG had similar planar WSS Conclusions: Higher WSS

Indexed as

bicuspid aortic valve (BAV)four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR)Peak regurgitationroot aortopathywall shear stress (WSS)

Identifiers

PMID40235768
PMCPMC11994549

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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.