ReviewJournal of electrocardiology
Value of electrocardiography in coronavirus disease 2019 (COVID-19).
Review in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Arrhythmias and electrocardiographic findings in Coronavirus disease 2019: A systematic review and meta-analysis.Pacing and clinical electrophysiology : PACE · 2021Pooled it
- Alternative Lead ECG Placements.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026Review
- Lack of Vaccination Against COVID-19, Obesity and Coexistence of Cardiovascular Diseases as Independent Predictors of a Higher Number of ECG Changes in Patients with Previous SARS-CoV-2 Infection.Journal of clinical medicine · 2025Article
- GM-CBAM-ResNet: A Lightweight Deep Learning Network for Diagnosis of COVID-19.Journal of imaging · 2025Article
- Association between echocardiographic features, troponin levels, and survival time in hospitalized COVID-19 patients with cardiovascular events.Journal of anesthesia and translational medicine · 2024Article
- Artificial intelligence-enhanced electrocardiography for early assessment of coronavirus disease 2019 severity.Scientific reports · 2023Article
- Feasibility of using KardiaMobile-L6 for QT interval monitoring during the early phase of the COVID-19 pandemic in critical care patients.Scientific reports · 2023Observational
- Prolongation of the QTc Interval at Admission is Associated with Increased Mortality in Patients with SARS-COV-2 during Hospitalization.Arquivos brasileiros de cardiologia · 2023Observational
- Comment on "Prognostic value of T-wave positivity in lead aVR in COVID-19 pneumonia".Revista da Associacao Medica Brasileira (1992) · 2023Article
- Myocardial Ischemia in Patients with COVID-19 Infection: Between Pathophysiological Mechanisms and Electrocardiographic Findings.Life (Basel, Switzerland) · 2022Review
- The relation between changes in electrocardiography and disease severity in SARS-CoV2 infected patients.ARYA atherosclerosis · 2022Article
- An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques.Biosensors · 2022Article
- ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration.Computers in biology and medicine · 2022Article
- Coronavirus disease 2019 death prediction by electrocardiographic abnormalities and elevated D-dimer levels.Frontiers in cardiovascular medicine · 2022Article
- The Value and Applicability of the Electrocardiography in Revealing the Cardiac Involvement of COVID-19 Patients.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2021Article
- Repolarization abnormalities on admission predict 1-year outcome in COVID-19 patients.International journal of cardiology. Heart & vasculature · 2021Article
- Cause of death based on systematic post-mortem studies in patients with positive SARS-CoV-2 tissue PCR during the COVID-19 pandemic.Journal of internal medicine · 2021Article
- A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification.BMC medical informatics and decision making · 2021Article
- Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT.Medicina (Kaunas, Lithuania) · 2021Article
- Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.BMC medical informatics and decision making · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 10 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In December 2019, reports of an unknown pneumonia not responsive to traditional treatments arose in Wuhan, China. The pathogen was subsequently identified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known to be responsible for the coronavirus disease-2019 (COVID-19) illness, and public health emergency of international concern was declared by the World Health Organization. There is increasing awareness of the cardiovascular manifestations of COVID-19 disease, and the adverse impact of cardiovascular involvement on its prognosis. In this setting, the electrocardiogram (ECG) is one of the leading tools to assess the extent of cardiac involvement in COVID-19 patients, due to its wide disponibility, low cost, and the possibility of remote evaluation. In this article, we review the role of the ECG in the identification of cardiac involvement in COVID-19, highlighting relevant clinical implications.
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Registered trials
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.