Evidence map›Paper›PMID 41536466›Full record

ArticleJournal of arrhythmia2026

A Novel Multiparametric Model Integrating Aortoseptal Angle to Predict the Origin of Outflow Tract Ventricular Arrhythmias.

Sunu Budhi Raharjo, Charles Saputra, Andre Tritansa Faizal, Dony Yugo Hermanto, Dicky Armein Hanafy, Ario Soeryo Kuncoro, Amiliana Mardiani Soesanto, Rina Ariani, Estu Rudiktyo, Daniel Valentino Chrismara and 2 more

Abstract read
In one paragraph

Article in Journal of arrhythmia, 2026. 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

12 authors.

Sunu Budhi RaharjoDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.ORCID https://orcid.org/0000-0001-5749-8231
Charles SaputraDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Andre Tritansa FaizalDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.ORCID https://orcid.org/0000-0002-8965-9324
Dony Yugo HermantoDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.ORCID https://orcid.org/0000-0002-6540-6103
Dicky Armein HanafyDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Ario Soeryo KuncoroDivision of Non-Invasive Diagnostic and Cardiovascular Imaging, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Amiliana Mardiani SoesantoDivision of Non-Invasive Diagnostic and Cardiovascular Imaging, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.ORCID https://orcid.org/0000-0001-7898-4570
Rina ArianiDivision of Non-Invasive Diagnostic and Cardiovascular Imaging, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Estu RudiktyoDivision of Non-Invasive Diagnostic and Cardiovascular Imaging, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Daniel Valentino ChrismaraDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.ORCID https://orcid.org/0009-0009-7819-841X
Andi Muhammad ZharfanDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Yoga YuniadiDivision of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Localizing the site of origin of outflow tract ventricular arrhythmias (OTVA) before ablation remains challenging despite existing ECG algorithms. Anatomical alterations of the aortic root associated with left ventricular outflow tract (LVOT) origin can be visualized through aortoseptal angle measurement. This study investigated the aortoseptal angle for predicting LVOT origin and improving the predictive power of current ECG algorithms. Methods: Patients undergoing successful OTVA ablation at a national cardiovascular referral hospital were enrolled. Transthoracic echocardiography measured the aortoseptal angle before ablation. Patients with structural abnormalities, multifocal arrhythmias, reduced ejection fraction, unsuccessful ablation, or non-inducible VAs were excluded. Multivariable logistic regression was used to develop a diagnostic model. Results: Forty-eight patients were included (44.9 ± 12.2 years, 79.8% female). Patients with LVOT origin (17.1%) had higher hypertension prevalence (71.4% vs. 17.6%; Conclusions: Aortoseptal angle measurement by echocardiography effectively identifies LVOT origin. Integration with hypertension status and V2 transition ratio substantially enhances diagnostic accuracy, supporting the use in pre-ablation assessment.

Indexed as

aortoseptal angleechocardiographyoutflow tractsite of originventricular arrhythmias

Identifiers

PMID41536466
PMCPMC12796829

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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.