Evidence map›Paper›PMID 41156078›Full record

ArticleJournal of clinical medicine2025

Deep Learning-Based Risk Assessment and Prediction of Cardiac Outcomes Using Single-Lead 24-Hour Holter-ECG in Patients with Heart Failure or Myocardial Infarction.

Ju Youn Kim, Kyung Geun Kim, Sunghoon Joo, Mineok Chang, Juwon Kim, Kyoung-Min Park, Young Keun On, June Soo Kim, Young Soo Lee, Seung-Jung Park and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. 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

11 authors.

Ju Youn KimDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0009-0003-2452-4423
Kyung Geun KimVUNO Inc., Seoul 06541, Republic of Korea.ORCID 0000-0002-4324-1045
Sunghoon JooVUNO Inc., Seoul 06541, Republic of Korea.ORCID 0000-0002-3538-3975
Mineok ChangVUNO Inc., Seoul 06541, Republic of Korea.
Juwon KimDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Kyoung-Min ParkDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0002-5416-9691
Young Keun OnDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
June Soo KimDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Young Soo LeeDaegu Catholic University Medical Center, Daegu 42472, Republic of Korea.
Seung-Jung ParkDivision of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0003-3288-0594
K-REDEFINE Investigators

Funding

Korean Heart Rhythm Society This research received a grant from the Korean Heart Rhythm Society (KHRS).
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cardiac deathdeep learningejection fractionheart failureheart rate turbulencemyocardial infarctionT-wave alternansventricular arrhythmia

Identifiers

PMID41156078
PMCPMC12565440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.