ReviewIranian journal of public health2021
Comparing of the First Electrocardiographic Variables in Patients with Newly Diagnosed COVID-19 with Healthy Men Volunteer: A Systematic Review and Meta-Analysis.
Review in Iranian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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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.
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Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Machine Learning Algorithms for Predicting the Impact of Care Burden on the Psychological Well-being of Caregivers for Chronic Kidney Disease Patients.Iranian journal of nursing and midwifery researchArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to report the findings of the first Electrocardiography (ECG), before therapy initiation and receiving medication in COVID-19 patients, and to compare them with the ECG findings of healthy men.
methodsA comprehensive and regular search was performed through the keywords ("Electrocardiographic" OR "ECG" OR; "COVID-19" OR "Coronavirus Disease 2019") without time and language restrictions in the Web of Science, Scopus, ProQuest, Cochrane Library, Science Direct, Medline, PubMed and Google Scholar. After evaluating the quality and reviewing the biases, 27 studies were finally enrolled.
resultsIn 27 studies with a total number of 3994 COVID-19 patients, and mean age of 62.7 yr, 1993 subjects were male. The most common type of arrhythmia in them, especially in severe and critical cases, was 7% based on 10 studies (Atrial Fibrillation); while in 7 studies, QTc interval prolong (≥ 460 msec) was 15% and in 5 studies, QTc interval prolong (≥ 500 msec) was 18%. In COVID-19 patients at the time of admission and healthy men, HR (b per / min) was 85, 61.7 and PR interval (msec) was 285.4, 156 and QRS duration (msec) was 95, 94.3 and QT (msec) was 380. 384.1 and QTc (msec) (Bazett's formula) was 437, 387.1, respectively. In most cases, the variables were higher for COVID-19 patients.
conclusionECG abnormalities at the time of admission and prior to the initiation of medication that cause arrhythmic may have a clinically substantial effect on the course of the disease and confirm the effect of COVID-19 on increased cardiovascular risk in long-term.
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