Evidence map›Paper›PMID 39841294›Full record

ReviewCurrent cardiology reports2025

Echocardiographic Updates in the Assessment of Cardiomyopathy.

Baoqiong Liu, Kandarp Suthar, Christine M Gerula

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
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

3 authors.

Baoqiong LiuDivision of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Kandarp SutharDivision of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Christine M GerulaDivision of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA. gerula@njms.rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review aims to provide an updated overview of the role of echocardiography in the assessment of cardiomyopathies, highlighting recent findings and technological advancements. RECENT

findingsOver the past few years, significant advancements in echocardiographic techniques have improved diagnostic accuracy and provided important prognostic value in the assessment of cardiomyopathies. Cardiomyopathy is a group of diseases affecting the heart muscle. Echocardiography, a non-invasive imaging modality provides crucial information on cardiac structure, function, and hemodynamics. Recent advancements, including strain imaging, speckle-tracking, and 3D echocardiography enhance the precision of structural and functional assessments, while artificial intelligence integration improves diagnostic accuracy and workflow efficiency. These advancements not only refine diagnostic capabilities but also provide prognostic insights and facilitate better patient outcomes.

Indexed as

CardiomyopathiesEchocardiographyArtificial IntelligenceEchocardiography, Three-DimensionalHumansPrognosis3D echocardiographyArtificial intelligenceCardiomyopathyDiagnostic advancementsEchocardiographyStrain imaging

Identifiers

PMID39841294
PMCPMC11754376

What OpenQuestion holds

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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.