ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2026
Artificial intelligence-enhanced electrocardiography for prediction of cancer therapy-related cardiac dysfunction.
Boroumand Zeidaabadi, Claire Glen, Joseph Barker, Oliver H Peck, Yun Y Tan, Ashita Waterston, Iain Squire, Arunashis Sau, Ninian N Lang, Fu Siong Ng
Abstract read
In one paragraphArticle in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Boroumand ZeidaabadiNational Heart and Lung Institute, Imperial College London, Du Cane Road, London W12 0NN, UK.ORCID 0009-0004-0025-9896 Claire GlenGlasgow Cardiovascular Research Centre (GCRC), School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK.ORCID 0000-0002-6892-1397 Joseph BarkerNational Heart and Lung Institute, Imperial College London, Du Cane Road, London W12 0NN, UK.ORCID 0000-0002-5483-9608 Oliver H PeckGlasgow Cardiovascular Research Centre (GCRC), School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK.
Yun Y TanDepartment of Medical Oncology, Beatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow G12 0YN, UK.ORCID 0000-0002-6930-2862 Ashita WaterstonDepartment of Medical Oncology, Beatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow G12 0YN, UK.ORCID 0000-0002-2080-4749 Iain SquireDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester LE3 9QP, UK.
Arunashis SauNational Heart and Lung Institute, Imperial College London, Du Cane Road, London W12 0NN, UK.ORCID 0000-0002-0204-7078 Ninian N LangGlasgow Cardiovascular Research Centre (GCRC), School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK.ORCID 0000-0001-8441-6887 Fu Siong NgNational Heart and Lung Institute, Imperial College London, Du Cane Road, London W12 0NN, UK.ORCID 0000-0002-8681-4368 Funding
British Heart Foundation FS/CRTF/21/24183British Heart Foundation FS/CRTF/24/24624British Heart Foundation FS/MBPhD/24/28032British Heart Foundation RE/18/4/34215British Heart Foundation RE/24/130023British Heart Foundation RG/F/22/110078National Institute for Health Research Imperial Biomedical Research CentreRoche Diagnostics
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceCancer therapy-related cardiac dysfunctionCardiotoxicityElectrocardiography (AI-ECG)Risk stratification
Identifiers
PMID42522570
PMCPMC13492207
What OpenQuestion holds
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