Evidence map›Paper›PMID 41624307›Full record

ArticleData in brief2026

Paired clinical 12 lead and apple watch electrocardiogram data repository from childhood cancer survivors authors.

Oguz Akbilgic, Ibrahim Karabayir, Luke Patterson, Stephanie B Dixon, Daniel A Mulrooney, Kirsten K Ness, Melissa M Hudson

Abstract read
In one paragraph

Article in Data in brief, 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

7 authors.

Oguz AkbilgicDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, Winson-Salem, NC, USA.
Ibrahim KarabayirDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, Winson-Salem, NC, USA.
Luke PattersonDepartment of Cardiovascular Medicine, Wake Forest School of Medicine, Winson-Salem, NC, USA.
Stephanie B DixonDepartment of Oncology, St Jude Children's Research Hospital, Memphis, TN, USA.
Daniel A MulrooneyDepartment of Oncology, St Jude Children's Research Hospital, Memphis, TN, USA.
Kirsten K NessEpidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Melissa M HudsonEpidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.

Funding

The St. Jude Lifetime CohortU01CA195547 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HUDSON, MELISSA M, NESS, KIRSTEN KIMBERLIE · 2015 to 2024
$14.9M
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing ElectrocardiographyR01CA261834 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI AKBILGIC, OGUZ, HUDSON, MELISSA M · 2022 to 2025
$2.1M
The St. Jude Lifetime Cohort StudyU01CA301480 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI MELISSA M HUDSON, Kirsten Kimberlie Ness · 2025 to 2026
$2.1M
NCI NIH HHS R01 CA261834NCI NIH HHS U01 CA195547NCI NIH HHS U01 CA301480
6 · The paper itself

Abstract

Childhood cancer survivors (CCS), exposed to prior cardiotoxic treatments such as anthracyclines and chest radiation, are at lifelong risk of cardiovascular complications. Current guidelines recommend periodic echocardiographic surveillance, but adherence rates are as low as 41%. This dataset provides paired same-day 12-lead clinical electrocardiograms (ECG) and single-lead wearable ECG recordings from the Apple Watch, collected from adult CCS participating in the St. Jude Lifetime Cohort Study (SJLIFE). The availability of paired wearable and clinical ECGs enables the development and validation of remote AI-based cardiac screening tools, potentially leading to more precise long-term cardiovascular surveillance in this population. Using this dataset, researchers can assess whether an AI model developed using clinical ECG can be repeat when using ECG from an Apple Watch.

Indexed as

Apple watchClinical ECGElectrocardiogramWearables, smartwatch

Identifiers

PMID41624307
PMCPMC12855598

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.