Evidence map›Paper›PMID 41635678›Full record

ArticleEuropean heart journal. Imaging methods and practice2026

Rational and design of EACVI-MMVD study: an international registry on multimodality imaging for mixed and multiple valvular heart disease.

Alexandre Unger, Giulia Elena Mandoli, Danilo Neglia, Elena Romero Dorta, Nobuyuki Kagiyama, Sonia Borodzicz-Jazdzyk, Eirini Velegraki, Augustin Coisne, Begüm Uygur, Andreea Afana and 22 more

Registry-linked trialAbstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06235385 (European Association of Cardiovascular Imaging Multiple and Mixed Valvular Disease Study), which is not on this map. Not yet cited in PubMed.

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

NCT06235385 recruitingnot on this map

European Association of Cardiovascular Imaging Multiple and Mixed Valvular Disease Study

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2024 to 2029Enrolled1,500ConditionsHeart Valve Diseases, Multiple Valve Disease, Unspecified, Aortic Valve Disease, Aortic Valve StenosisArmsIntervention not provided
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

32 authors.

Alexandre UngerDepartment of Cardiology, Hôpital Universitaire de Bruxelles, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium.ORCID https://orcid.org/0000-0001-7045-6909
Giulia Elena MandoliDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena 53100, Italy.
Danilo NegliaCardiovascular Department, Gabriele Monasterio Foundation, Via G. Moruzzi 1, Pisa, Italy.
Elena Romero DortaDeutsches Herzzentrum der Charité-Medical Heart Centre of Charité and German Heart Institute Berlin, Department of Cardiology, Angiology and Intensive Care Medicine, Charitéplatz 1, Berlin 10117, Germany.
Nobuyuki KagiyamaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Sonia Borodzicz-JazdzykDepartment of Cardiology, Medical University of Warsaw, Warsaw, Poland.
Eirini VelegrakiDepartment of Cardiology, Royal Brompton Hospital, London, UK.
Augustin CoisneMIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), Paris 75010, France.ORCID https://orcid.org/0000-0002-1662-7874
Begüm UygurDepartment of Cardiology, University of Health Sciences, Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkiye.
Andreea AfanaDepartment of Cardiology, University of Medicine and Pharmacy Craiova, 2 Petru Rares Street, Craiova 200349, Romania.
Jeremy FlorenceCardiology Department, CHU Clermont-Ferrand, Clermont University, Clermont-Ferrand cedex 1 63003, France.ORCID https://orcid.org/0000-0001-6440-562X
Yohann BohbotMIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), Paris 75010, France.ORCID https://orcid.org/0000-0002-2695-9848
Erwan DonalDepartment of Cardiology, CHU Rennes and Inserm, LTSI, University of Rennes, Rennes, France.ORCID https://orcid.org/0000-0003-2677-3389
Marie-Annick ClavelInstitut Universitaire de Cardiologie et de Pneumologie, Université Laval, Québec City, Québec, Canada.ORCID https://orcid.org/0000-0002-8924-740X
Philippe PibarotDepartment of Medicine, Laval University, Quebec, Quebec, Canada.ORCID https://orcid.org/0000-0002-3607-279X
Philippe UngerDepartment of Cardiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Robert MankaDepartment of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-3383-4998
Robin NijveldtDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Alessia GimelliDepartment of Imaging, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Bernhard GerberDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Brussels, Belgium.
Marc DweckBritish Heart Foundation Centre for Cardiovascular Science, Edinburgh Heart Centre, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, UK.
Denisa MuraruDepartment of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Gianluca PontoneDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Nina Ajmone MarsanDepartment of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-7208-5769
Ana Teresa TimoteoCardiology Department, Santa Marta Hospital, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
Solenn ToupinMIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), Paris 75010, France.
Christine PereiraDépartment du pôle Promotion, Direction de la Recherche Clinique et de L'Innovation (DRCI) de l'AP-HP, Paris 75475, France.
Bernard CosynsDepartment of Cardiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Eric VicautMIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), Paris 75010, France.ORCID https://orcid.org/0000-0001-6303-8557
Victoria DelgadoDepartment of Cardiology, Heart Institute, Hospital University Germans Trias I, Carretera de Canyet, s/n, Pujol, Badalona 08916, Spain.
Steffen PetersenDepartment of cardiovascular imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, UK.
Théo PezelMIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), Paris 75010, France.ORCID https://orcid.org/0000-0002-6716-8444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Multiple and mixed valvular heart disease (MMVD) are frequent situations in clinical practice. Despite a high prevalence, comprehensive insights into their clinical presentation, management strategies, impact of multimodality imaging, and outcomes are not well established, due to a lack of dedicated studies. Methods and results: The 'EACVI-MMVD Study' will be a large prospective, multicentre, observational cohort study led by the Heart Imagers of Tomorrow of the European Association of Cardiovascular Imaging (EACVI). It will assess the proportion, management, and prognosis of MMVD over a 1-year period of follow-up. All consecutive patients diagnosed with MMVD using transthoracic echocardiography will be recruited over a 6-month recruitment period in 88 centres from 24 different countries. Baseline evaluation will be determined by physicians and encompass the whole spectrum of multimodality imaging including transthoracic and transoesophageal echocardiography, stress echocardiography, computed tomography, and cardiovascular magnetic resonance. Centres will have the opportunity to send cardiovascular imaging data for core laboratory analysis and to extend recruitment throughout a 5-year follow-up period. Conclusion: The EACVI-MMVD study will be the largest international multicentre study evaluating the prevalence of MMVD in clinical routine and determining the impact of multimodality cardiovascular imaging in MMVD patients.Clinical Trial Registration: NCT06235385 URL: https://classic.clinicaltrials.gov/ct2/show/NCT06235385.

Indexed as

core laboratoryEuropean Association of Cardiovascular Imaging (EACVI)multimodality imagingmultiple and mixed valvular heart diseaseprognosisvalvular heart disease

Identifiers

PMID41635678
PMCPMC12862487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.