Evidence map›Paper›PMID 41313487›Full record

SynthesisEuropean journal of pediatrics2025

Distinguishing athlete's heart from hypertrophic cardiomyopathy by ECG features in the pediatric population: a systematic review and meta-analysis.

William Wiradinata, Muhammad Reva Aditya, Anita Dominique Subali, Hotma Lestari, Rivaldo Brahmantio Hardani, Nabilah Hanifah Mukti

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

William WiradinataFaculty of Medicine, Universitas Brawijaya, Malang, East Java, Indonesia. wwiradina@gmail.com.
Muhammad Reva AdityaFaculty of Medicine, Universitas Brawijaya, Malang, East Java, Indonesia.
Anita Dominique SubaliFaculty of Medicine, Universitas Brawijaya, Malang, East Java, Indonesia.
Hotma LestariFaculty of Medicine, Universitas Brawijaya, Malang, East Java, Indonesia.
Rivaldo Brahmantio HardaniDr. R. Hardjanto Level II Military Hospital, Balikpapan, East Kalimantan, Indonesia.
Nabilah Hanifah MuktiDepartment of Cardiology and Vascular Medicine, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiating athlete's heart from hypertrophic cardiomyopathy (HCM) in pediatric populations is challenging due to overlapping electrocardiographic (ECG) features. This systematic review and meta-analysis evaluated ECG parameters to identify features distinguishing pediatric HCM from physiological adaptations in young athletes. Literature searches in PubMed, ScienceDirect, and Google Scholar yielded 25 eligible studies. Data were synthesized using a random-effects meta-analysis to account for clinical and methodological heterogeneity across studies. Odds ratios with 95% confidence intervals were generated using the Mantel-Haenszel method for two-arm studies and were pooled using Review Manager 5.4, while single-arm proportions of ECG abnormalities in pediatric HCM patients were pooled using a random-effects single-arm meta-analysis in OpenMeta[Analyst]. Heterogeneity was quantified using the I

Indexed as

Cardiomegaly, Exercise-InducedCardiomyopathy, HypertrophicElectrocardiographyAdolescentAthletesChildDiagnosis, DifferentialHumansAdolescentAthletic heart syndromeElectrocardiographyHypertrophic cardiomyopathyPediatricsSudden cardiac death

Identifiers

PMID41313487

What Socratic 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 Socratic graph.