Evidence map›Paper›PMID 39452268›Full record

ArticleJournal of cardiovascular development and disease2024

Lone Giant Atrium as a Variant of Atrial Cardiomyopathy: A Cardiovascular Magnetic Resonance Imaging Case Series.

Claudia Meier, Gabriel Olteanu, Marc Ellermeier, Michel Eisenblätter, Stephan Gielen

Abstract readCase Reports
In one paragraph

Article in Journal of cardiovascular development and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Claudia MeierUniversitätsklinik für Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätsklinikum Ostwestfalen-Lippe, Campus Klinikum Lippe, 32756 Detmold, Germany.ORCID 0000-0003-3097-3500
Gabriel OlteanuUniversitätsinstitut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ostwestfalen-Lippe, Campus Klinikum Lippe, 32756 Detmold, Germany.
Marc EllermeierUniversitätsinstitut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ostwestfalen-Lippe, Campus Klinikum Lippe, 32756 Detmold, Germany.
Michel EisenblätterMedizinische Fakultät, Universität Bielefeld, 33615 Bielefeld, Germany.
Stephan GielenUniversitätsklinik für Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätsklinikum Ostwestfalen-Lippe, Campus Klinikum Lippe, 32756 Detmold, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in cardiovascular imaging have expanded the scope and precision of rare diagnoses. Handling a patient with a giant left atrium, we focused on the existence and associated factors of "lone giant (left or right) atria" in our clinical setting. The aim of the current study was to establish reasonable cut-off values for the diagnosis of "giant atrium". Our analysis utilised echocardiography and cardiovascular magnetic resonance (CMR) imaging databases, with the original data re-assessed to ensure consistency and comparability. Four patients met the search criteria, with two cases requiring CMR to confirm the diagnosis of "giant atrium", correcting the initial echocardiographic assessment. Both echocardiography and CMR excel in the assessment of atrial anatomy, although the superior image quality and multiplanar capabilities of CMR support its preference. In assessing the atrial size, the use of 3D volumetric measurements should replace traditional biplane methods due to the complex anatomy of the atrium. We propose the use of an indexed volume threshold (>120 mL/m

Indexed as

atrial cardiomyopathycardiovascular magnetic resonanceechocardiographygiant atriumrare diagnosesreference values

Identifiers

PMID39452268
PMCPMC11508881

What Socratic 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 Socratic graph.