Evidence map›Paper›PMID 38420844›Full record

ArticleJournal of the American Heart Association2024

Association Between ECG Abnormalities and Mortality in a Low-Risk Population.

Sung Ho Lee, Mi Yeon Lee, Jeonggyu Kang, Hyo-In Choi, Seung-Jae Lee, Jong-Young Lee, Byung Jin Kim, Ki-Chul Sung, Kyoung-Min Park

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Prognostic Value of Spatial Trajectory of J-Point Amplitude Across Left Precordial Leads in a Community-Based Population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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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

9 authors.

Sung Ho LeeDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0002-1018-7871
Mi Yeon LeeDivision of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0003-2119-9226
Jeonggyu KangCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.
Hyo-In ChoiDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.
Seung-Jae LeeDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0002-6553-9782
Jong-Young LeeDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.
Byung Jin KimDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0002-9008-8506
Ki-Chul SungDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0001-5630-2145
Kyoung-Min ParkDivision of Cardiology, Department of Medicine Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea.ORCID 0000-0002-5416-9691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ECG is a simple, noninvasive screening method for cardiovascular disease and arrhythmia. The impact of ECG abnormality on mortality is not certain in low-risk populations. To address this, we evaluated the association between ECG abnormality and mortality. METHODS AND

resultsWe retrospectively assessed baseline ECG and all-cause mortality and cardiovascular mortality in 660 383 patients presenting for medical check-ups. Baseline ECG abnormalities were classified according to the Minnesota Code. Among the total 660 383 participants, 23 609 (3.6%) had major and 110 038 (16.7%) had minor ECG abnormalities. All-cause mortality occurred in 7751 patients (1.1%) and cardiovascular mortality in 1180 (0.18%) over a median follow-up period of 8.8 years. Major ECG abnormalities were associated with all-cause mortality (hazard ratio [HR], 1.11 [95%, 1.03-1.2]) and cardiovascular mortality (HR, 1.92 [95% CI, 1.63-2.27]) compared with no ECG abnormalities. All-cause mortality was associated with right atrial enlargement (HR, 2.11 [95% CI, 1.1-4.07]), left atrial enlargement (HR, 1.76 [95% CI, 1.1-2.84]), sinus tachycardia (HR, 1.52 [95% CI, 1.15-2.01]), complete atrioventricular block (HR, 2.1 [95% CI, 1.05-4.2]), atrial fibrillation (HR, 1.52 [95% CI, 1.26-1.84]), and left ventricular hypertrophy (HR, 1.15 [95% CI, 1.02-1.3]). Cardiovascular mortality was associated with left atrial enlargement (HR, 4.52 [95% CI, 2.15-9.5]), atrial fibrillation (HR, 3.22 [95% CI, 2.33-4.46]), left ventricular hypertrophy (HR, 1.72 [95% CI, 1.35-2.19]), major Q-wave abnormality (HR, 1.6 [95% CI, 1.08-2.39]), and major ST-T abnormality (HR, 1.76 [95% CI, 1.01-3.04]).

conclusionsECG abnormalities, including left atrial enlargement, left ventricular hypertrophy, atrial fibrillation, and major Q-wave and ST-T abnormalities, were associated with cardiovascular mortality in a low-risk population.

Indexed as

Atrial FibrillationElectrocardiographyHeartHumansHypertrophy, Left VentricularRetrospective StudiesRisk Factorsall‐cause mortalitycardiovascular mortalityECG

Identifiers

PMID38420844
PMCPMC10944072

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.