Evidence map›Paper›PMID 35616068›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2022

Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography.

Inge J van den Hoogen, Jussi Schultz, Jurrien H Kuneman, Michiel A de Graaf, Vasileios Kamperidis, Alexander Broersen, J Wouter Jukema, Antonis Sakellarios, Sotirios Nikopoulos, Savvas Kyriakidis and 7 more

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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 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. Review
  2. [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
  3. Review
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

17 authors.

Inge J van den HoogenDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Jussi SchultzTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland.
Jurrien H KunemanDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Michiel A de GraafDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Vasileios KamperidisDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Alexander BroersenDepartment of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Antonis SakellariosDepartment of Biomedical Research, FORTH-IMBB, Ioannina, Greece.
Sotirios NikopoulosDepartment of Cardiology, Medical School, University of Ioannina, Ioannina, Greece.
Savvas KyriakidisDepartment of Biomedical Research, FORTH-IMBB, Ioannina, Greece.
Katerina K NakaDepartment of Cardiology, Medical School, University of Ioannina, Ioannina, Greece.
Lampros MichalisDepartment of Cardiology, Medical School, University of Ioannina, Ioannina, Greece.
Dimitrios I FotiadisDepartment of Biomedical Research, FORTH-IMBB, Ioannina, Greece.
Teemu MaaniittyTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland.
Antti SarasteTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland.
Jeroen J BaxDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7368-0500
Juhani KnuutiDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3156-9593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsEvolving evidence suggests that endothelial wall shear stress (ESS) plays a crucial role in the rupture and progression of coronary plaques by triggering biological signalling pathways. We aimed to investigate the patterns of ESS across coronary lesions from non-invasive imaging with coronary computed tomography angiography (CCTA), and to define plaque-associated ESS values in patients with coronary artery disease (CAD). METHODS AND

resultsSymptomatic patients with CAD who underwent a clinically indicated CCTA scan were identified. Separate core laboratories performed blinded analysis of CCTA for anatomical and ESS features of coronary atherosclerosis. ESS was assessed using dedicated software, providing minimal and maximal ESS values for each 3 mm segment. Each coronary lesion was divided into upstream, start, minimal luminal area (MLA), end and downstream segments. Also, ESS ratios were calculated using the upstream segment as a reference. From 122 patients (mean age 64 ± 7 years, 57% men), a total of 237 lesions were analyzed. Minimal and maximal ESS values varied across the lesions with the highest values at the MLA segment [minimal ESS 3.97 Pa (IQR 1.93-8.92 Pa) and maximal ESS 5.64 Pa (IQR 3.13-11.21 Pa), respectively]. Furthermore, minimal and maximal ESS values were positively associated with stenosis severity (P < 0.001), percent atheroma volume (P < 0.001), and lesion length (P ≤ 0.023) at the MLA segment. Using ESS ratios, similar associations were observed for stenosis severity and lesion length.

conclusionsDetailed behaviour of ESS across coronary lesions can be derived from routine non-invasive CCTA imaging. This may further improve risk stratification.

Indexed as

Coronary Artery DiseaseCoronary StenosisPlaque, AtheroscleroticAgedComputed Tomography AngiographyConstriction, PathologicCoronary AngiographyCoronary VesselsFemaleHumansMaleMiddle AgedPredictive Value of Testsatherosclerosiscomputational fluid dynamicscoronary artery diseasecoronary computed tomography angiographyendothelial wall shear stress

Identifiers

PMID35616068
PMCPMC10017098

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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.