Evidence map›Paper›PMID 39712055›Full record

ReviewInternational journal of cardiology. Congenital heart disease2022

The genetic, molecular, and hemodynamic basis of bicuspid aortic valve aortopathy: A contemporary narrative review.

Joseph Burns, Lorna Lastovich, Arushi Dhar

Abstract readReview
In one paragraph

Review in International journal of cardiology. Congenital heart disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Joseph BurnsDivision of Pediatric Cardiology, Cohen Children's Medical Center of New York, Queens, NY, 11040, USA.
Lorna LastovichDivision of Pediatric Cardiology, Cohen Children's Medical Center of New York, Queens, NY, 11040, USA.
Arushi DharDivision of Pediatric Cardiology, Cohen Children's Medical Center of New York, Queens, NY, 11040, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bicuspid aortic valve (BAV) is the most common congenital heart defect. Along with the expeditious advancements in genetics, molecular science, and imaging, the body of literature surrounding BAV has grown immensely in recent years. The purpose of this review is to categorize and summarize articles published regarding bicuspid aortic valve aortopathy in the last five years. The increased availability of genomic testing has allowed the study of inherited factors contributing to BAV, with associations between variations in several genes and the development of aortopathy. It has also been found that epigenetics and microRNAs play a critical role. Molecularly, the arrangement of the extracellular matrix and its various components are related to the strength of the aortic wall. Compromises in the extracellular matrix have been shown to limit the ability of the smooth muscle cells and fibroblasts to maintain the integrity of the aortic wall. Advancements in cardiac imaging, notably magnetic resonance imaging, have allowed for intense study of the hemodynamics of various cardiac lesions. Recent articles have proposed that early aortic valve insufficiency rather than stenosis leads to aortic dilation. After reviewing recent publications regarding BAV and the development of aortopathy, the authors acknowledge that there is much still unknown. Further research in the fields addressed in this review will allow for improvements in diagnostics and treatments for affected individuals.

Indexed as

AortopathyBicuspid aortic valveFamilial ascending aortopathy

Identifiers

PMID39712055
PMCPMC11657660

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.