Evidence map›Paper›PMID 36325478›Full record

ArticleEuropean clinical respiratory journal2022

Clinical course of COVID-19 in hospitalized children of Ukraine in different pandemic periods.

Iryna Seriakova, Vitalii Yevtushenko, Sergiy Kramarov, Liudmyla Palatna, Iryna Shpak, Tatiana Kaminska

Abstract read
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Article in European clinical respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Iryna SeriakovaBogomolets National Medical University, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-2793-6584
Vitalii YevtushenkoBogomolets National Medical University, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-6610-8394
Sergiy KramarovBogomolets National Medical University, Kyiv, Ukraine.ORCID https://orcid.org/0000-0003-2919-6644
Liudmyla PalatnaBogomolets National Medical University, Kyiv, Ukraine.
Iryna ShpakBogomolets National Medical University, Kyiv, Ukraine.
Tatiana KaminskaBogomolets National Medical University, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-6618-4143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus infection (COVID-19) pandemic has seen a progressive increase in childhood morbidity worldwide. Continuous mutation of the SARS-CoV-2 virus causes the wave-like course of the COVID-19 pandemic, which is characterized by an undulating course and the predominance of different variants of the SARS-CoV-2 virus. There are many reports that the clinical picture may vary depending on the circulating strain of the virus [7-11, 13-16]. Based on this, we decided to analyze and evaluate the presence of a pattern between the clinical and epidemic COVID-19 characteristics and the strain of the SARS-CoV-2 virus prevailing locally. The aim of the work: To study the effects of various strains of SARS-CoV-2 on the clinical and epidemiological characteristics of pediatric patients; to determine the regularity between the severity of the disease and the circulating strain of SARS-CoV-2. Materials and methods: A retrospective analysis of 945 case stories of COVID-19 disease in children who were hospitalized at the infectious diseases hospital (Kyiv, Ukraine) in the period from June 2020 to February 2022 (corresponding to a period of four waves of different SARS-CoV-2 strains). We investigated epidemiological and clinical features, as well as laboratory and instrumental parameters, comparing four waves of the disease. Results and Conclusions: A regularity between the wave of COVID-19 and the severity of the disease was found. The third wave seemed to be the most severe, due to the increase in the frequency of complications, concomitant pathology, clinical symptoms and the level of mortality. The timing of this outbreak matched with the circulation of the SARS-CoV-2 delta-variant and correlated with an increase in hospitalization rates in Ukraine.

Indexed as

childrenclinical and epidemiological characteristicscomplicationsCOVID-19pandemic

Identifiers

PMID36325478
PMCPMC9621244

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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.