Evidence map›Paper›PMID 40713150›Full record

ArticleJACC. Advances2025

Electrocardiographic Findings Among Major League Soccer Athletes: Normative Data From a Diverse Population.

Robyn E Bryde, Marybeth F Soutar, Aakash A Bavishi, Jonathan H Kim, Eugene Chung, John A Gallucci, Joan Street, Holly Silvers, Margot Putukian, Matthew W Martinez

Abstract read
In one paragraph

Article in JACC. Advances, 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. Article
  2. Electrocardiographic Profiles by sex in a cohort of healthy Vietnamese university students.American heart journal plus : cardiology research and practice · 2025
    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

10 authors.

Robyn E BrydeDepartment of Cardiovascular Medicine, Atlantic Health System, Morristown Medical Center, Morristown, New Jersey, USA.
Marybeth F SoutarDepartment of Cardiovascular Medicine, Atlantic Health System, Morristown Medical Center, Morristown, New Jersey, USA.
Aakash A BavishiDivision of Cardiology, University of Illinois-Chicago, Chicago, Illinois, USA.
Jonathan H KimEmory Clinical Cardiovascular Research Institute, Emory School of Medicine, Atlanta, Georgia, USA.
Eugene ChungSports Electrophysiology Clinic, Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA.
John A GallucciConsultant, Major League Soccer, New York, USA.
Joan StreetConsultant, Major League Soccer, New York, USA.
Holly SilversConsultant, Major League Soccer, New York, USA.
Margot PutukianConsultant, Major League Soccer, New York, USA.
Matthew W MartinezDepartment of Cardiovascular Medicine, Atlantic Health System, Morristown Medical Center, Morristown, New Jersey, USA; Sports Cardiology and Hypertrophic Cardiomyopathy, Morristown Medical Center, Morristown, New Jersey, USA. Electronic address: Matthew.martinez@atlantichealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor League Soccer (MLS) is composed of an ethnically diverse athlete population for which electrocardiogram (ECG) analysis has not been previously reported.

objectivesThis paper evaluated MLS player ECGs and characterized ECGs as having normal, borderline, and/or abnormal ECG findings based on the international criteria. Echocardiographic data were analyzed when history, physical, or ECG findings were abnormal.

methodsThis was a cross-sectional study of MLS players from 2017 to 2020.

resultsA total of 706 athletes were included in this study. Athletes were predominantly Caucasian 346 (49%), followed by Black, 85 (26%), and Hispanic, 175 (25%). The mean (SD) age was 24.5 (4.3) years with an age range of 15 to 37 years. The most common abnormal ECG finding was T wave inversion (TWI) (total percent of TWI). Black athletes had a greater proportion of ECGs with any isolated TWI, with 11.9%, compared to Caucasian (5.2%, P = 0.005) and Hispanic (5.7%, P = 0.040) athletes. Subgroup analysis of those with abnormal TWI revealed mostly structurally normal hearts. The most common borderline finding was left axis deviation, with Black athletes having a statistically greater proportion of left axis deviation when compared to Caucasian athletes (3.8% vs 1.2%, P = 0.043). Training-related ECG changes are highly prevalent among professional male soccer players regardless of race.

conclusionsThe most common ECG abnormality and borderline finding per international criteria are TWI and left atrial enlargement, respectively. Both were more prevalent in Black athletes. Echocardiography did not reveal underlying cardiovascular disease during follow-up even in the presence of abnormal ECG findings.

Indexed as

athlete ECG changesblack athlete ECGsports cardiologyT wave inversions black athletes

Identifiers

PMID40713150
PMCPMC12418455

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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.