Evidence map›Paper›PMID 39604208›Full record

ArticlePhysiological reports2024

Diastolic dysfunction evaluation by cardiovascular magnetic resonance derived E, a, e': Comparison to echocardiography.

Jérôme Lamy, Jie Xiang, Nimish Shah, Jennifer M Kwan, Yekaterina Kim, Krishna Upadhyaya, Samuel W Reinhardt, Judith Meadows, Robert L McNamara, Lauren A Baldassarre and 1 more

Abstract readComparative Study
In one paragraph

Article in Physiological reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Jérôme LamyDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-1931-2971
Jie XiangDepartment Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
Nimish ShahCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Jennifer M KwanCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Yekaterina KimCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Krishna UpadhyayaCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Samuel W ReinhardtCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Judith MeadowsCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Robert L McNamaraCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Lauren A BaldassarreCardiovascular Division, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Dana C PetersDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-7556-4642

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Development of MR-derived parameters of LV diastolic function: Validation and Comparison to LV and LA fibrosisR01HL144706 · NHLBI · YALE UNIVERSITY · PI PETERS, DANA C · 2019 to 2022
$1.8M
HHS | NIH | NHLBI | NHLBI Division of Intramural Research (DIR) 1R01HL144706NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Transthoracic echocardiography (TTE) is the first-line and most useful imaging modality for evaluating diastolic dysfunction (DD). Cardiovascular magnetic resonance (CMR) has not been fully evaluated for this task. We investigated the utility of CMR for DD evaluation.Thirty-one patients with a recent TTE (within 4 months) were prospectively enrolled, along with 12 healthy age-matched subjects. CMR imaging was performed at 1.5 T to assess diastolic function by quantifying mitral inflow velocities (E and A), mitral annular velocities (e'), and left atrial volume (LAVi). Measurements by TTE and CMR were compared using regression. The diagnostic accuracy of CMR for DD was determined.CMR derived E, A, E/A, e' and E/e' all correlated moderately to strongly with TTE, and more strongly when comparing studies performed closer in time (E: r = 0.68, E deceleration time: r = 0.82, A: r = 0.78, e' r = 0.75, E/e': r = 0.80, p = 0.001; LAVi: r = 0.79, p < 0.001; E/A: r = 0.82, p < 0.001, n = 14 within 45 days). Using CMR criteria analogous to TTE, there was 82% (23/28) agreement regarding the presence of DD (95% CI [63 to 93%]), with 100% sensitivity and 75% specificity, and 71% (20/28) agreement in the absolute DD grade.CMR can evaluate diastolic function, with overall strong agreement to TTE.

Indexed as

DiastoleEchocardiographyAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesVentricular Dysfunction, Leftdiastolic dysfunctionechocardiographyMRIphase‐contrast

Identifiers

PMID39604208
PMCPMC11602526

What Socratic holds

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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 Socratic graph.