Evidence map›Paper›PMID 42077380›Full record

ArticleEuropean heart journal. Digital health2026

ECG Sex Index in children and adolescents.

Tolga Hayit, Ibrahim Karabayir, David Herrington, Robert L Davis, Oguz Akbilgic

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2026. 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

5 authors.

Tolga HayitDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, 486 Patterson Avenue, Suite #446, Winston-Salem, NC 27157, USA.ORCID https://orcid.org/0000-0001-5367-7988
Ibrahim KarabayirDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, 486 Patterson Avenue, Suite #446, Winston-Salem, NC 27157, USA.
David HerringtonDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, 486 Patterson Avenue, Suite #446, Winston-Salem, NC 27157, USA.
Robert L DavisCenter for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, USA.
Oguz AkbilgicDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, 486 Patterson Avenue, Suite #446, Winston-Salem, NC 27157, USA.ORCID https://orcid.org/0000-0003-0313-9254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrocardiographic sex index (ESI) was developed in adults to capture continuous electrocardiogram (ECG) features associated with biological sex, but its behaviour in children, whose ECG morphology changes substantially through growth and puberty, has not been characterized. We applied the adult-derived ESI model to 61 930 paediatric ECGs from the University of Tennessee Health Science Center clinical population (ages 0-18 years). ESI values were examined by single-year age and stratified by sex and race. Age-related patterns were summarized using mean estimates with 95% confidence intervals, distributional analyses across broader age groups, and the prevalence of extreme sex-typical values (ESI ≥0.8 in males; ≤0.2 in females). In early childhood, ESI values were tightly clustered around 0.5 in both sexes. Beginning in late childhood and becoming more pronounced through adolescence, ESI increased in males and decreased in females, producing a widening separation that plateaued in mid-to-late adolescence, a pattern that was consistent across racial subgroups. Distributional analyses showed parallel shifts in ESI distributions, with older males enriched for higher values and older females enriched for lower values, and threshold-based analyses revealed similar divergence, with the proportions of males with ESI ≥0.8 and females with ESI ≤0.2 both increasing sharply during adolescence. Although derived from adult data, ESI thus exhibits age and sex-dependent patterns in children that align with known developmental trajectories of ECG morphology, indicating that ESI tracks physiological maturation across childhood and adolescence and providing a foundation for evaluating its clinical and biological significance in younger populations.

Indexed as

Artificial intelligenceBiological sexECG Sex IndexElectrocardiogramHeart maturation

Identifiers

PMID42077380
PMCPMC13131988

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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.