Evidence map›Paper›PMID 35296987›Full record

ArticleCardiovascular engineering and technology2022

Colocalization of Coronary Plaque with Wall Shear Stress in Myocardial Bridge Patients.

Muhammad Owais Khan, Takeshi Nishi, Shinji Imura, Jongmin Seo, Hanjay Wang, Yasuhiro Honda, Koen Nieman, Ian S Rogers, Jennifer A Tremmel, Jack Boyd and 2 more

Abstract read
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In one paragraph

Article in Cardiovascular engineering and technology, 2022. 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
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. [Coronary CT Angiography-Based Mechanomics Predicts Atherosclerotic Plaque Formation in Regions Proximal to Myocardial Bridging].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
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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

12 authors at 2 institutions in 1 country.

Muhammad Owais KhanDepartment of Pediatrics, Stanford University School of Medicine, 318 Campus Drive, Clark Center E100b, Stanford, CA, 94305-5428, USA.
Takeshi NishiDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Shinji ImuraDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Jongmin SeoDepartment of Pediatrics, Stanford University School of Medicine, 318 Campus Drive, Clark Center E100b, Stanford, CA, 94305-5428, USA.
Hanjay WangDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Yasuhiro HondaDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Koen NiemanDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Ian S RogersDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Jennifer A TremmelDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Jack BoydDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Ingela SchnittgerDivision of Cardiovascular Medicine, Stanford University School of Medicine and Stanford Cardiovascular Institute, Stanford, CA, USA.
Alison MarsdenDepartment of Pediatrics, Stanford University School of Medicine, 318 Campus Drive, Clark Center E100b, Stanford, CA, 94305-5428, USA. amarsden@stanford.edu.
Stanford University · USCardiovascular Institute of the South · US

Funding

Comprehensive CT Guided Coronary Artery Bypass Graft SurgeryR01HL141712 · NHLBI · STANFORD UNIVERSITY · PI NIEMAN, KOEN · 2019 to 2023
$3.5M
Multiscale modeling for vein graft failure risk stratification in CABG patientsR01HL123689 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARSDEN, ALISON L · 2014 to 2018
$1.9M
NHLBI NIH HHS R01 HL123689NHLBI NIH HHS R01 HL141712
6 · The paper itself

Abstract

purposePatients with myocardial bridges (MBs) have a higher prevalence of atherosclerosis. Wall shear stress (WSS) has previously been correlated with plaque in coronary artery disease patients, but such correlations have not been investigated in symptomatic MB patients. The aim of this paper was to use a multi-scale computational fluid dynamics (CFD) framework to simulate hemodynamics in MB patient, and investigate the co-localization of WSS and plaque.

methodsWe identified N = 10 patients from a previously reported cohort of 50 symptomatic MB patients, all of whom had plaque in the proximal vessel. Dynamic 3D models were reconstructed from coronary computed tomography angiography (CCTA), intravascular ultrasound (IVUS) and catheter angiograms. CFD simulations were performed to compute WSS proximal to, within and distal to the MB. Plaque was quantified from IVUS images in 2 mm segments and registered to CFD model. Plaque area was compared to absolute and patient-normalized WSS.

resultsWSS was lower in the proximal segment compared to the bridge segment (6.1 ± 2.9 vs. 16.0 ± 7.1 dynes/cm

conclusionWSS may be obtained non-invasively in MB patients and provides a surrogate marker of plaque area. Using CFD, it may be possible to non-invasively assess the extent of plaque area, and identify patients who could benefit from frequent monitoring or medical management.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHumansStress, MechanicalComputational modellingCoronary artery diseaseCoronary atherosclerosisHemodynamics

Identifiers

PMID35296987
OpenAlexW4220946549

What OpenQuestion holds

Textmetadata
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.