Evidence map›Paper›PMID 32930900›Full record

ReviewCurrent cardiology reports2020

Update on MRI Techniques for Evaluation of Pericardial Disease.

Ossama K Abou Hassan, Deborah Kwon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Longitudinal cardiac MRI assessment in constrictive pericarditis: a case series.The international journal of cardiovascular imaging · 2026
    Article
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  3. Article
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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

2 authors at 1 institution in 1 country.

Ossama K Abou HassanSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, 44195, USA.
Deborah KwonSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, 44195, USA. kwond@ccf.org.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiovascular magnetic resonance (CMR) provides the most comprehensive imaging assessment of pericardial disease, providing a three-dimensional assessment of the pericardium, functional assessment of its impact on cardiac contractility, and pericardial tissue/fluid characterization. This review presents an update on the utility of CMR imaging in a wide variety of pericardial diseases. RECENT

findingsCMR provides both qualitative and quantitative assessment of the pericardium through various imaging techniques. It can also be used as a guide therapy and delineate response to treatment in pericarditis. CMR is also useful for the assessment of rare congenital disorders and in defining pericardial tumors and differentiating some non-invasively. CMR is a powerful non-invasive diagnostic tool for evaluating and characterizing pericardial diseases. Ongoing optimization of imaging techniques allows for differentiation of subtypes of disease as well as progression. Ongoing research demonstrates continued expanding role of CMR in both the diagnosis and management of pericardial and cardiovascular disease.

Indexed as

Heart NeoplasmsPericardial EffusionPericarditisHumansMagnetic Resonance ImagingPericardiumCardiac magnetic resonance imagingPericardial disease

Identifiers

PMID32930900
OpenAlexW3085229782

What OpenQuestion holds

Textmetadata
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.