Evidence map›Paper›PMID 33059987›Full record

ArticleThe American journal of emergency medicine2021

The effect of the severity COVID-19 infection on electrocardiography.

Hasan Ali Barman, Adem Atici, Gokhan Alici, Omer Sit, Sevil Tugrul, Baris Gungor, Ertugrul Okuyan, Irfan Sahin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.0field-weighted citation impact, top 13% of its field
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

27 citing papers in PubMed, 51 citations in OpenAlex.

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  20. 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 · 2021
    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

8 authors at 5 institutions in 1 country.

Hasan Ali BarmanUniversity of Health Sciences, Okmeydani Training and Research Hospital, Department of Cardiology, Istanbul, Turkey. Electronic address: drhasanali@hotmail.com.
Adem AticiIstanbul Medeniyet University, Faculty of Medicine, Goztepe Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Gokhan AliciUniversity of Health Sciences, Okmeydani Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Omer SitUniversity of Health Sciences, Okmeydani Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Sevil TugrulUniversity of Health Sciences, Bagcilar Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Baris GungorUniversity of Health Sciences, Dr. Siyami Ersek Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Ertugrul OkuyanUniversity of Health Sciences, Bagcilar Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Irfan SahinUniversity of Health Sciences, Bagcilar Training and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Bağcılar Eğitim ve Araştırma Hastanesi · TRSağlık Bilimleri Üniversitesi · TRDr. Siyami Ersek Göğüs Kalp Ve Damar Cerrahisi Eğitim Ve Araştırma Hastanesi · TRIstanbul Medeniyet University · TROkmeydanı Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAcute myocardial damage is detected in a significant portion of patients with coronavirus 2019 disease (COVID-19) infection, with a reported prevalence of 7-28%. The aim of this study was to investigate the relationship between electrocardiographic findings and the indicators of the severity of COVID-19 detected on electrocardiography (ECG).

methodsA total of 219 patients that were hospitalized due to COVID-19 between April 15 and May 5, 2020 were enrolled in this study. Patients were divided into two groups according to the severity of COVID-19 infection: severe (n = 95) and non-severe (n = 124). ECG findings at the time of admission were recorded for each patient. Clinical characteristics and laboratory findings were retrieved from electronic medical records.

resultsMean age was 65.2 ± 13.8 years in the severe group and was 57.9 ± 16.0 years in the non-severe group. ST depression (28% vs. 14%), T-wave inversion (29% vs. 16%), ST-T changes (36% vs. 21%), and the presence of fragmented QRS (fQRS) (17% vs. 7%) were more frequent in the severe group compared to the non-severe group. Multivariate analysis revealed that hypertension (odds ratio [OR]: 2.42, 95% confidence interval [CI]:1.03-5.67; p = 0.041), the severity of COVID-19 infection (OR: 1.87, 95% CI: 1.09-2.65; p = 0.026), presence of cardiac injury (OR: 3.32, 95% CI: 1.45-7.60; p = 0.004), and d-dimer (OR: 3.60, 95% CI: 1.29-10.06; p = 0.014) were independent predictors of ST-T changes on ECG.

conclusionST depression, T-wave inversion, ST-T changes, and the presence of fQRS on admission ECG are closely associated with the severity of COVID-19 infection.

Indexed as

AgedComorbidityCOVID-19ElectrocardiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPandemicsRetrospective StudiesSARS-CoV-2Severity of Illness Index

Identifiers

PMID33059987
PMCPMC7539927
OpenAlexW3092204596

What OpenQuestion holds

Textmetadata
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.