Evidence map›Paper›PMID 41226880›Full record

ReviewJournal of clinical medicine2025

The Contemporary Role of Cardiovascular Magnetic Resonance in Ischemic Cardiomyopathy.

Desak Gede Widyawati, Lynette L S Teo, Ching Ching Ong, Marie Houdmont, Ping Chai, Ching-Hui Sia

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. 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

6 authors.

Desak Gede WidyawatiNational University Heart Centre, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0002-5458-5935
Lynette L S TeoDepartment of Diagnostic Imaging, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0002-2817-9458
Ching Ching OngDepartment of Diagnostic Imaging, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0002-6523-7303
Marie HoudmontNational University Heart Centre, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0001-9463-3316
Ping ChaiNational University Heart Centre, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0003-1134-6667
Ching-Hui SiaNational University Heart Centre, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0002-2764-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic cardiomyopathy is the leading cause of heart failure globally. While echocardiography is the cornerstone of cardiovascular imaging, cardiovascular magnetic resonance (CMR) plays a crucial role in providing a thorough assessment of both cardiac structure and function. CMR can deliver accurate information on cardiac function, perfusion, and tissue characterization, all while avoiding ionizing radiation and overcoming challenges associated with imaging window quality. Across the different stages of ischemic heart disease, CMR provides a precise assessment of infarct age, size, and related complications, while also supporting treatment decisions and predicting recovery. This review emphasizes not only the established diagnostic and prognostic roles of CMR in ischemic cardiomyopathy but also explores emerging quantitative and artificial intelligence-based approaches poised to redefine clinical practice.

Indexed as

cardiovascular magnetic resonanceischemic cardiomyopathyischemic heart disease

Identifiers

PMID41226880
PMCPMC12609118

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.