Evidence map›Paper›PMID 33490967›Full record

ReviewArchives of academic emergency medicine2021

Electrocardiography in Early Diagnosis of Cardiovascular Complications of COVID-19; a Systematic Literature Review.

Reza Nemati, Mahasty Ganjoo, Faezeh Jadidi, Ahmad Tanha, Reza Baghbani

Abstract readReview
In one paragraph

Review in Archives of academic emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  11. An Overview of Published Articles inArchives of academic emergency medicine · 2022
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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

5 authors.

Reza NematiDepartment of Medical Emergencies, School of Allied Medical Sciences, Bushehr University of Medical Sciences, Bushehr, Iran.
Mahasty GanjooDepartment of Medical Emergencies, School of Allied Medical Sciences, Bushehr University of Medical Sciences, Bushehr, Iran.
Faezeh JadidiStudent Research Committee, Zarand School of Nursing, Kerman University of Medical Sciences, Kerman, Iran.
Ahmad TanhaClinical Research Development Center, The Persian Gulf Martyrs Hospital, Bushehr University of Medical Sciences, Bushehr, Iran.
Reza BaghbaniDepartment of Medical Emergencies, School of Allied Medical Sciences, Bushehr University of Medical Sciences, Bushehr, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany reports have stated that patients admitted for COVID-19 may also suffer from cardiovascular diseases, suggesting cardiovascular involvement in COVID-19. Since there is direct association between electrocardiography (ECG) data and the prognosis of cardiovascular disease, a systematic literature review was performed in the present study to address this association and make a conclusive agreement on the early diagnostic and prognostic values of ECG in patients with COVID-19.

methodsElectronic databases including PubMed, Scopus, Web of Science, Science Direct, Ovid, Embase, and Google Scholar were searched for "COVID-19" and "ECG" using all their equivalents and similar terms as search words. Afterwards, the records were limited to English articles and irrelevant documents, as well as articles that reported drug-induced cardiac dysfunction or patients with previous history of cardiovascular complications were excluded.

resultsOverall, 31 articles with 2379 patients were found and used for qualitative data extraction. Findings showed that there is a significant association between COVID-19 infection and ECG findings. Also, ST-segment changes, T wave inversions, QT prolongation, and atrial fibrillation were found to be early indicators of cardiac involvement of COVID-19, which were associated with worse outcomes.

conclusionIt is recommended to use ECG as a valuable diagnostic and prognostic tool for cardiac evaluation of patients with COVID-19.

Indexed as

COVID-19ElectrocardiographyHeart DiseasesHeart InjuriesPrognosis

Identifiers

PMID33490967
PMCPMC7812158

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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.