Evidence map›Paper›PMID 38999489›Full record

ReviewJournal of clinical medicine2024

Aortic Regurgitation in Bicuspid Aortic Valve: The Role of Multimodality Imaging.

Lucia La Mura, Maria Lembo, Francesca Musella, Marianna D'Amato, Antonello D'Andrea, Raffaele Izzo, Giovanni Esposito

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Lucia La MuraDepartment of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy.ORCID 0000-0003-4648-0460
Maria LemboDepartment of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy.
Francesca MusellaDivision of Cardiology, S. Maria delle Grazie Hospital, 80078 Pozzuoli, Italy.
Marianna D'AmatoServicio de Cardiologìa, Hospital Central de La Defensa Gomez Ulla, 28028 Madrid, Spain.
Antonello D'AndreaDepartment of Cardiology, Umberto I Hospital, 84014 Nocera Inferiore, Italy.ORCID 0000-0002-9698-9145
Raffaele IzzoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy.ORCID 0000-0002-0308-2836
Giovanni EspositoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of aortic regurgitation (AR) in bicuspid valve (BAV) is still a challenge because of the eccentricity of the jet, which may under/overestimate the regurgitation. The commonly used echocardiography parameters (such as vena contracta, pressure half-time, etc.) may not be useful in this kind of patient. A multimodality approach combining echocardiography, cardiac MRI, cardiac CT, and advanced technologies applied to non-invasive cardiac imaging (e.g., 4D flow and strain imaging) may be useful to better quantify regurgitation and to select patients suitable for valve replacement. This review provides an overview of the most recent insights about cardiovascular imaging tools and their utility in BAV evaluation, focusing on chronic regurgitation. We describe the role of multimodality imaging in both diagnosis and risk assessment of this disease, pointing out the advantages and disadvantages of the imaging techniques, aiming to provide a guide to clinicians and cardiovascular imaging specialists in choosing the best imaging tools to use.

Indexed as

bicuspid aortic valvechronic aortic regurgitationcomputed tomographyechocardiographymagnetic resonance imagingmultimodality imaging

Identifiers

PMID38999489
PMCPMC11242072

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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.