Evidence map›Paper›PMID 39045067›Full record

ArticleEuropean heart journal. Imaging methods and practice2023

Quantification of myocardial extracellular volume without blood sampling.

Wensu Chen, Alessandro Faragli, Collin Goetze, Victoria Zieschang, Karl Jakob Weiss, Djawid Hashemi, Rebecca Beyer, Lorena Hafermann, Philipp Stawowy, Sebastian Kelle and 1 more

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Wensu ChenDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0002-8956-3672
Alessandro FaragliDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0003-0883-2672
Collin GoetzeDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.
Victoria ZieschangDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0001-7474-2320
Karl Jakob WeissDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0002-2801-2017
Djawid HashemiDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0003-3933-7092
Rebecca BeyerDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0009-0007-9373-0756
Lorena HafermannInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, Berlin 10117, Germany.ORCID https://orcid.org/0000-0002-2072-8539
Philipp StawowyDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0002-5271-3198
Sebastian KelleDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0002-0270-308X
Patrick DoeblinDepartment of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany.ORCID https://orcid.org/0000-0002-1511-8015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Cardiac magnetic resonance (CMR) Methods and results: We performed a review and meta-analysis of published studies on synthetic ECV, as well as a secondary analysis of previously published data to examine the effect of the chosen regression modell on bias. While, overall, a good correlation and little bias between synthetic and conventional ECV were found in these studies, questions regarding its accuracy remain. Conclusion: Synthetic HCT and ECV can provide a 'non-invasive' quantitative measurement of the myocardium's extracellular space when timely HCT measurements are not available and large alterations in ECV are expected, such as in cardiac amyloidosis. Due to the dependency of

Indexed as

cardiac magnetic resonance (CMR)CMRECV classification descriptionsynthetic HCTT1 mappingtissue characterization

Identifiers

PMID39045067
PMCPMC11195702

What OpenQuestion holds

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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.