Evidence map›Paper›PMID 37560453›Full record

ArticleFrontiers in neurology2023

Stroke in mitral valve prolapse: risk factors and left atrial function in cryptogenic versus non-cryptogenic ischemic subtypes.

Francesca Calicchio, Lisa J Lim, Danielle Cross, Dwight Bibby, Qizhi Fang, Karl Meisel, Nelson B Schiller, Francesca N Delling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 4 institutions in 1 country.

Francesca CalicchioDepartment of Medicine (Cardiovascular Division), The Lundquist Institute at Harbor-University of California-Los Angeles Medical Center, Torrance, CA, United States.
Lisa J LimDepartment of Medicine (Cardiovascular Division), University of California-San Francisco, San Francisco, CA, United States.
Danielle CrossDepartment of Neurology, Lancaster General Health Neuroscience Institute, Lancaster, PA, United States.
Dwight BibbyDepartment of Medicine (Cardiovascular Division), University of California-San Francisco, San Francisco, CA, United States.
Qizhi FangDepartment of Medicine (Cardiovascular Division), University of California-San Francisco, San Francisco, CA, United States.
Karl MeiselDepartment of Neurology, McLaren Northern Michigan Neurosciences, Petoskey, MI, United States.
Nelson B SchillerDepartment of Medicine (Cardiovascular Division), University of California-San Francisco, San Francisco, CA, United States.
Francesca N DellingDepartment of Medicine (Cardiovascular Division), University of California-San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USLancaster General Hospital · USMcLaren Northern Michigan · USUniversity of California, Los Angeles · 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

Background and purpose: Mitral valve prolapse (MVP) has been associated with an increased risk of ischemic stroke. Older age, thicker mitral leaflets, and significant mitral regurgitation (MR) leading to atrial fibrillation have been traditionally considered risk factors for ischemic stroke in MVP. However, specific risk factors for MVP-stroke subtypes are not well defined. The aim of this study is to evaluate clinical and echocardiographic parameters, including left atrial (LA) function, in MVP with cryptogenic (C) vs. non-cryptogenic (NC) stroke. Methods: In this case-control matched study, MVPs were identified in consecutive echocardiograms obtained after a stroke from January 2013 to December2016 at the University of California, San Francisco. MVP was defined as leaflet displacement ≥2 mm in the parasternal long-axis view at end-systole. Age/gender matched MVPs without stroke and healthy controls without MVP were also identified. We analyzed LA end-systolic/diastolic volume index, emptying fraction (LAEF), function index (LAFI), and global longitudinal strain in all MVPs and controls. We also measured left ventricular (LV) volume indexes, mass index, ejection fraction (EF), degree of MR and leaflet thickness. Results: We identified a total of 30 MVPs (age 70 ± 12, 50% females) with stroke (11 with C- and 19 with NC-stroke), 20 age/gender matched MVPs without a stroke and 16 controls. MVPs without stroke had lower BMI, less hypertension but more MR (≥moderate in 45% vs. 17%), more abnormal LA function (lower LAEF, LAFI) and larger LV volumes/mass (all Conclusions: MVP-related MR may be protective against stroke despite abnormal LA function. Risk of NC-stroke in MVP is related to common stroke risk factors rather than mitral valve leaflet thickness. The etiology of C-stroke in MVP warrants further studies.

Indexed as

cryptogenic strokeechocardiographyleft atrial functionleft atrial function indexmitral valve prolapse (MVP)stroke

Identifiers

PMID37560453
PMCPMC10408447
OpenAlexW4385256515

What OpenQuestion holds

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LicenceCC BY
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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.