Evidence map›Paper›PMID 38141098›Full record

ArticleThe international journal of cardiovascular imaging2024

Left ventricular fibrosis in arrhythmic mitral valve prolapse: quantification and comparison of semi-automated techniques assessed by cardiac magnetic resonance.

Annagrazia Cecere, Alberto Cipriani, Manuel De Lazzari, Francesca Graziano, Giulia Brunetti, Giorgio De Conti, Raffaella Motta, Alberto Ravagnin, Giulia Lorenzoni, Dario Gregori and 6 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

16 authors at 3 institutions in 2 countries.

Annagrazia CecereCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Alberto CiprianiCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Manuel De LazzariCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Francesca GrazianoCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Giulia BrunettiCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Giorgio De ContiRadiology Unit, University of Padua-Azienda Ospedaliera, Padua, Italy.
Raffaella MottaDepartment of Medicine, University of Padua-Azienda Ospedaliera, Padua, Italy.
Alberto RavagninCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Giulia LorenzoniDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy.
Dario GregoriDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy.
Cristina BassoCardiovascular Pathology Unit, University Hospital of Padua, Padua, Italy.
Francesco TonaCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Yoo Jin LeeClinical Radiology, Cardiac and Pulmonary Imaging, University of California, San Francisco, CA, USA.
Francesca Nesta DellingDepartment of Medicine (Cardiovascular Division), University of California San Francisco, San Francisco, CA, USA.
Sabino IlicetoCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy.
Martina Perazzolo MarraCardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua-Azienda Ospedaliera, Via Giustiniani, 2, 35128, Padua, Italy. martina.perazzolomarra@unipd.it.
Azienda Ospedaliera di Padova · ITUniversity of Padua · ITUniversity of California, San Francisco · US

Funding

Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapseR01HL153447 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DELLING, FRANCESCA N · 2020 to 2024
$4.7M
NHLBI NIH HHS R01 HL153447
6 · The paper itself

Abstract

purposeLeft ventricular (LV) fibrosis has a key role in arrhythmogenesis in patients with mitral valve prolapse (MVP). Cardiac magnetic resonance identifies LV fibrosis by using late gadolinium enhancement (LGE) technique. LGE assessment and quantification in patients with MVP lacks of standardization protocols.

methods66 MVP patients with normal systolic function and without significant regurgitation were enrolled. Semi-automated gray-scale thresholding techniques using full width at half maximum (FWHM) and 2, 3 and 5 standard deviation (SD) above the remote myocardium were used and compared with the visual assessment, considered as the gold standard.

resultsLGE was identified in 41 MVP patients (62%) and quantified. The mean quantity of LGE visually assessed was 2.40 ± 1.07% or 1.40 ± 0.82 g. With FWHM, LGE resulted 3.56 ± 1.23% or 1.99 ± 1.13 g. Using thresholding, the mean LGE quantity was 9.2 ± 3.1% or 4.82 ± 2.28 g for 2-SD, 5.72 ± 1.75% or 3.06 ± 1.47 g for 3-SD and 2.36 ± 0.99% or 1.29 ± 0.79 g for 5-SD. The 5-SD measurement in percentage demonstrated a good correlation with LGE quantification visually assessed (2.40 ± 1.07 vs. 2.363 ± 0.9909, p = 0.543). When compared with the gold standard, the 5-SD threshold quantification, both in percentage and in grams, revealed the least intra-observer (respectively, ICC: 0.976 and 0.966) and inter-observer variability (respectively ICC: 0.948 and 0.935).

conclusionThe 5-SD gray-scale threshold technique in percentage revealed the best correlation with the visual assessment and an optimal reproducibility in MVP patient.

Indexed as

Mitral Valve ProlapseContrast MediaFibrosisGadoliniumHumansMagnetic Resonance SpectroscopyPredictive Value of TestsReproducibility of ResultsContrast MediaGadoliniumArrhythmic mitral valve prolapseCardiac magnetic resonanceLate gadolinium enhancementMyocardial fibrosis

Identifiers

PMID38141098
PMCPMC10884156
OpenAlexW4390144278

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.