Evidence map›Paper›PMID 31489577›Full record

ArticleJournal of cardiovascular translational research2020

Left Ventricular Mass in Hypertrophic Cardiomyopathy Assessed by 2D-Echocardiography: Validation with Magnetic Resonance Imaging.

Maria Angela Losi, Massimo Imbriaco, Grazia Canciello, Filomena Pacelli, Carlo Di Nardo, Raffaella Lombardi, Raffaele Izzo, Costantino Mancusi, Andrea Ponsiglione, Serena Dell'Aversana and 4 more

Abstract readComparative StudyValidation Study
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In one paragraph

Article in Journal of cardiovascular translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  10. [Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
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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

14 authors at 1 institution in 1 country.

Maria Angela LosiDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy. losi@unina.it.
Massimo ImbriacoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Grazia CancielloDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Filomena PacelliDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Carlo Di NardoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Raffaella LombardiDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Raffaele IzzoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Costantino MancusiDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Andrea PonsiglioneDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Serena Dell'AversanaDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Giovanni de SimoneDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Bruno TrimarcoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Emanuele BarbatoDepartment of Advanced Biomedical Sciences, University Federico II of Naples, Via S Pansini, I-80131, Naples, Italy.
Federico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to validate echocardiographic left ventricular (LV) mass (echoLVM) in sixty-one patients with hypertrophic cardiomyopathy (HCM), using cardiac magnetic resonance measures (cmrLVM) as gold standard. cmrLVM was calculated using LV short-axis images, from base to apex, whereas echoLVM by LV epicardial minus LV endocardial volumes in 4 and 2 chamber views, using Simpson disk summation; trabeculae and papillary muscle were excluded in both cmrLVM and echoLVM. cmrLVM and echoLVM were not different by paired t test (145 ± 66 vs 147 ± 61; p = 0.240), and their correlation was good (r = 0.977; p < 0.0001). Intraclass correlation demonstrated reliability of echoLVM with cmrLVM (ρ = 0.987; Cls = 0.978-0.992; p < 0.0001). LV end-diastolic volume was higher by CMR than that by echo (137 ± 33 vs 85 ± 28 mL, p < 0.0001), resulting in a lower mass/volume ratio (1.1 ± 0.4 vs 1.8 ± 0.8, p < 0.0001). EchoLVM may be determined in patients with HCM. However, mass/volume ratio is higher by echocardiography than that by CMR.

Indexed as

EchocardiographyMagnetic Resonance Imaging, CineVentricular Function, LeftVentricular RemodelingAdultAgedCardiomyopathy, HypertrophicFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsCardiac magnetic resonanceEchocardiographyHypertrophic cardiomyopathyLeft ventricular mass

Identifiers

PMID31489577
OpenAlexW2972104984

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.