Evidence map›Paper›PMID 39330450›Full record

ReviewJournal of imaging2024

The Role of Cardiovascular Imaging in the Diagnosis of Athlete's Heart: Navigating the Shades of Grey.

Nima Baba Ali, Sogol Attaripour Esfahani, Isabel G Scalia, Juan M Farina, Milagros Pereyra, Timothy Barry, Steven J Lester, Said Alsidawi, David E Steidley, Chadi Ayoub and 2 more

Abstract readReview
In one paragraph

Review in Journal of imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Nima Baba AliDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0004-3979-0609
Sogol Attaripour EsfahaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Isabel G ScaliaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-6459-9767
Juan M FarinaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-5824-8485
Milagros PereyraDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0003-4695-8436
Timothy BarryDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-0576-2990
Steven J LesterDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Said AlsidawiDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-8750-7880
David E SteidleyDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Stefano PalermiPublic Health Department, University of Naples Federico II, via Pansini 5, 80131 Naples, Italy.ORCID 0000-0003-1558-4857
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-7081-4286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athlete's heart (AH) represents the heart's remarkable ability to adapt structurally and functionally to prolonged and intensive athletic training. Characterized by increased left ventricular (LV) wall thickness, enlarged cardiac chambers, and augmented cardiac mass, AH typically maintains or enhances systolic and diastolic functions. Despite the positive health implications, these adaptations can obscure the difference between benign physiological changes and early manifestations of cardiac pathologies such as dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), and arrhythmogenic cardiomyopathy (ACM). This article reviews the imaging characteristics of AH across various modalities, emphasizing echocardiography, cardiac magnetic resonance (CMR), and cardiac computed tomography as primary tools for evaluating cardiac function and distinguishing physiological adaptations from pathological conditions. The findings highlight the need for precise diagnostic criteria and advanced imaging techniques to ensure accurate differentiation, preventing misdiagnosis and its associated risks, such as sudden cardiac death (SCD). Understanding these adaptations and employing the appropriate imaging methods are crucial for athletes' effective management and health optimization.

Indexed as

artificial intelligenceathlete’s heartcardiac computed tomographycardiac magnetic resonancecardiomyopathiesdeep learningechocardiographystrainstress echocardiographysudden cardiac death

Identifiers

PMID39330450
PMCPMC11433181

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.