Evidence map›Paper›PMID 36425898›Full record

ArticleHealth science reports2022

Epidemiology and clinical features of SARS-CoV-2 infection in hospitalized children across four waves in Hungary: A retrospective, comparative study from March 2020 to December 2021.

Andrea T Takács, Mátyás Bukva, Gabriella Gavallér, Katalin Kapus, Mária Rózsa, Boglárka Bán-Gagyi, Mária Sinkó, Dániel Szűcs, Gabriella Terhes, Csaba Bereczki

Abstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
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

10 authors.

Andrea T TakácsDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.ORCID 0000-0001-9211-6593
Mátyás BukvaLaboratory of Microscopic Image Analysis and Machine Learning, Biological Research Centre, Eötvös Loránd Research Network Institute of Biochemistry Szeged Hungary.
Gabriella GavallérDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Katalin KapusDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Mária RózsaDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Boglárka Bán-GagyiDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Mária SinkóDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Dániel SzűcsDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.
Gabriella TerhesDepartment of Medical Microbiology University of Szeged Szeged Hungary.
Csaba BereczkiDepartment of Paediatrics and Paediatric Health Center University of Szeged Szeged Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: From 2019 till the present, infections induced by the novel coronavirus and its mutations have posed a new challenge for healthcare. However, comparative studies on pediatric infections throughout waves are few. During four different pandemic waves, we intended to investigate the clinical and epidemiological characteristic of the pediatric population hospitalized for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infection. Methods: Between March 2020 and December 2021, we performed our retrospective research on children infected with the SARS-CoV-2 virus at the University of Szeged. We analyzed the data of all patients who required hospitalization due to positive results of SARS-CoV-2 tests (Nucleic Acid Amplification Test or rapid antigen test). Data analysis included demographic data, medical history, clinical findings, length of hospitalization, and complications, using medical records. Results: In this study, data from 358 coronavirus-infected children were analyzed. The most affected age group was children over 1 month and under 1 year (30.2%). The highest number of cases was recorded in the fourth wave (53.6%). Fever (65.6%), cough (51.4%), nasal discharge (35.3%), nausea and vomiting (31.3%), and decreased oral intake (28.9%) were the most common symptoms. The most common complications were dehydration (50.5%), pneumonia (14.9%), and bronchitis/bronchiolitis (14.5%). Based on RR values, there are considerable differences in the prevalence of the symptoms and complications between the different age groups and waves. Cox proportional hazard model analyzes showed that fever and tachypnoea had a relevant effect on days to recovery. Conclusions: We found trends similar to those previously published, overall statistics. The proportion of children requiring hospitalization varied from wave to wave, with the fourth wave affecting the Hungarian child population the most. Our findings suggest that hospitalization time is unrelated to age, but that certain symptoms (fever and tachypnoea) are associated with longer hospitalization. The onset of certain symptoms may differ by age group.

Indexed as

childrenCOVID‐19hospitalization waveSARS‐CoV‐2 infection

Identifiers

PMID36425898
PMCPMC9679239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.