Evidence map›Paper›PMID 37754814›Full record

ReviewJournal of cardiovascular development and disease2023

Application of Patient-Specific Computational Fluid Dynamics in Anomalous Aortic Origin of Coronary Artery: A Systematic Review.

Anselm W Stark, Andreas A Giannopoulos, Alexander Pugachev, Isaac Shiri, Andreas Haeberlin, Lorenz Räber, Dominik Obrist, Christoph Gräni

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

8 authors.

Anselm W StarkDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-5861-3753
Andreas A GiannopoulosDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, 8091 Zurich, Switzerland.
Alexander PugachevSimq GmbH, 85567 Grafing bei München, Germany.
Isaac ShiriDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
Andreas HaeberlinDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-9283-0110
Lorenz RäberDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
Dominik ObristARTORG Center for Biomedical Engineering Research, Faculty of Medicine, University of Bern, 3008 Bern, Switzerland.ORCID 0000-0002-6062-9076
Christoph GräniDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0001-6029-0597

Funding

Swiss National Science Foundation 200871
6 · The paper itself

Abstract

Anomalous aortic origin of a coronary artery (AAOCA) is a rare congenital heart condition with fixed and dynamic stenotic elements, potentially causing ischemia. Invasive coronary angiography under stress is the established method for assessing hemodynamics in AAOCA, yet it is costly, technically intricate, and uncomfortable. Computational fluid dynamics (CFD) simulations offer a noninvasive alternative for patient-specific hemodynamic analysis in AAOCA. This systematic review examines the role of CFD simulations in AAOCA, encompassing patient-specific modeling, noninvasive imaging-based boundary conditions, and flow characteristics. Screening articles using AAOCA and CFD-related terms prior to February 2023 yielded 19 publications, covering 370 patients. Over the past four years, 12 (63%) publications (259 patients) employed

Indexed as

AAOCAanomalous coronary arteryCFDcomputational fluid dynamics

Identifiers

PMID37754814
PMCPMC10532130

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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.