Evidence map›Paper›PMID 37147450›Full record

ArticleThe international journal of cardiovascular imaging2023

Parametric mapping by cardiovascular magnetic resonance imaging in sudden cardiac arrest survivors.

Katarzyna E Gil, Vien T Truong, Karolina M Zareba, Juliet Varghese, Orlando P Simonetti, Saurabh Rajpal

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Article in The international journal of cardiovascular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

6 authors.

Katarzyna E GilDorothy M. Davis Heart and Lung Research Institute, The Ohio State University, 452 W 10th Ave, Columbus, OH, 43210, USA. katarzyna77.gil@gmail.com.
Vien T TruongDepartment of Internal Medicine, Nazareth Hospital, Pennsylvania, PA, USA.
Karolina M ZarebaDorothy M. Davis Heart and Lung Research Institute, The Ohio State University, 452 W 10th Ave, Columbus, OH, 43210, USA.
Juliet VargheseDivision of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA.
Orlando P SimonettiDivision of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA.
Saurabh RajpalDorothy M. Davis Heart and Lung Research Institute, The Ohio State University, 452 W 10th Ave, Columbus, OH, 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Etiology of sudden cardiac arrest (SCA) is identified in less than 30% of survivors without coronary artery disease. We sought to assess the diagnostic role of myocardial parametric mapping using cardiovascular magnetic resonance (CMR) in identifying SCA etiology. Consecutive SCA survivors undergoing CMR with myocardial parametric mapping were included in the study. The determination if CMR was decisive or contributory in identifying SCA etiology was made if the diagnosis was unclear prior to CMR, and the discharge diagnosis was consistent with the CMR result. Parametric mapping was considered essential for establishing probable SCA etiology by CMR if the SCA cause could not have been determined without its utilization. If the CMR diagnosis could have been potentially based on the combination of cine and LGE imaging, parametric mapping was considered contributory. Of the 35 patients (mean age 46.9 ± 14.1 years; 57% males) included, SCA diagnosis was based on CMR in 23 (66%) patients. Of those, parametric mapping was essential for the diagnosis of myocarditis and tako-tsubo cardiomyopathy (11/48%) and contributed to the diagnosis in 10 (43%) additional cases. Inclusion of quantitative T1 and T2 parametric mapping in the SCA CMR protocol has the potential to increase diagnostic yield of CMR and further specify SCA etiology, especially myocarditis.

Indexed as

MyocarditisAdultContrast MediaDeath, Sudden, CardiacFemaleHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMaleMiddle AgedPredictive Value of TestsSurvivorsContrast MediaCardiovascular magnetic resonance imagingParametric mappingSudden cardiac arrestT1 and T2 mapping

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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.