Evidence map›Paper›PMID 35434258›Full record

ArticleInternational journal of cardiology. Heart & vasculature2022

Patterns of cardiovascular magnetic resonance inflammation in acute myocarditis from South Asia and Middle East.

Abdel-Nasser Ghareeb, Sabir A Karim, Vivek P Jani, Willington Francis, Jef Van den Eynde, Maryam Alkuwari, Shelby Kutty

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

Article in International journal of cardiology. Heart & vasculature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

7 authors at 2 institutions in 3 countries.

Abdel-Nasser GhareebDepartment of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.
Sabir A KarimDepartment of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.
Vivek P JaniHelen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA.
Willington FrancisDepartment of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.
Jef Van den EyndeHelen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA.
Maryam AlkuwariDepartment of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.
Shelby KuttyHelen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA.
Hamad Medical Corporation · QAJohns Hopkins University · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Background: Cardiovascular magnetic resonance (CMR) is the test of choice for diagnosis and risk stratification of myocardial inflammation in acute viral myocarditis. The objective of this study was to assess patterns of CMR inflammation in a cohort of acute myocarditis patients from Northern Africa, Asia, and the Middle East using unsupervised machine learning. Methods: A total of 169 racially and ethnically diverse adults ( Results: Our cohort was diverse with 25% from Northern Africa, 33% from Southern Asia, and 28% from Western Asia/the Middle East. Twelve patients met the combined clinical endpoint - 3 had arrythmia, 8 had dilated cardiomyopathy, and 1 died. Patients who met the combined endpoint had increased anterior (p = 0.034) and septal (p = 0.042) late gadolinium enhancement (LGE). Multivariable logistic regression, adjusted for age, gender, and BMI, found that patients from Southern Asia (p = 0.041) and the Middle East (p = 0.043) were independently associated with lateral LGE. Unsupervised machine learning and factor analysis identified two distinct CMR patterns of inflammation, one with increased LGE and the other with increased myocardial T1/T2. Conclusions: We found that anteroseptal inflammation is associated with worsened outcomes. Using machine learning, we identified two patterns of myocardial inflammation in acute myocarditis from CMR in a racially and ethnically diverse group of patients from Southern Asia, Northern Africa, and the Middle East.

Indexed as

BSA, Body Surface AreaCardiovascular magnetic resonanceCMR, Cardiovascular Magnetic ResonanceCMV, CytomegalovirusCRP, C Reactive ProteinDALY, Disability-Adjusted Life YearsEBV, Epstein-Barr Virus (EBV)EGE, Early Gadolinium EnhancementEMB, Endomyocardial BiopsyGlobal healthHBV, Hepatitis B VirusHs, High-SensitivityIQR, interquartile rangeLGE, Late Gadolinium EnhancementLLC, Lake Louise CriteriaLVEDVi, Left Ventricular End Diastolic Volume indexedLVEF, Left Ventricular Ejection FractionLVESVi, Left Ventricular End Systolic Volume indexedMachine learningRVEF, Right Ventricular Ejection FractionSD, Standard DeviationT1, Spin-lattice relaxationT1/T2 parametric mappingT2, Transverse relaxationViral myocarditis

Identifiers

PMID35434258
PMCPMC9011019
OpenAlexW4224274957

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.