Evidence map›Paper›PMID 39457214›Full record

ArticleChildren (Basel, Switzerland)2024

Severity Profile of COVID-19 in Hospitalized Pediatric Patients.

Vânia Chagas da Costa, Ulisses Ramos Montarroyos, Katiuscia Araújo de Miranda Lopes, Ana Célia Oliveira Dos Santos

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Vânia Chagas da CostaPostgraduate Program in Health Sciences, Universidade de Pernambuco, Recife 50100-010, Pernambuco, Brazil.ORCID 0000-0002-1992-2879
Ulisses Ramos MontarroyosPostgraduate Program in Health Sciences, Universidade de Pernambuco, Recife 50100-010, Pernambuco, Brazil.ORCID 0000-0001-8967-5693
Katiuscia Araújo de Miranda LopesSchool of Nursing Our Lady of Grace, Universidade de Pernambuco, Recife 50100-010, Pernambuco, Brazil.ORCID 0000-0002-0282-9184
Ana Célia Oliveira Dos SantosPostgraduate Program in Health Sciences, Universidade de Pernambuco, Recife 50100-010, Pernambuco, Brazil.ORCID 0000-0002-9170-5684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to describe the clinical characteristics associated with severity in children hospitalized with COVID-19.

methodThis was an epidemiological cohort study conducted in two hospitals, one of which was a reference center for the treatment of COVID-19 cases. Data were collected from the reports generated by the hospital epidemiology centers and the medical records of patients aged between 0 and 14 years with a diagnosis of COVID-19, hospitalized between March 2020 and June 2021. To analyze the association between the clinical profile and severity, the cases were classified as severe (severe and critical) and non-severe (asymptomatic, mild, and moderate).

resultsOf the 191 children followed up in the cohort, 73.3% developed the severe form. The percentage of children with oxygen saturation below 95% was 46.6%. In the multivariate analysis, a higher risk of severity was estimated among children with uncontrolled asthma (RR = 13.2), who were overweight or obese (RR = 3.21), who had cough symptoms (RR = 2.72), and those aged under one year (RR = 3.23).

conclusionsThis result underscores the need to improve healthcare at every level for children and for the management of asthma and nutrition when considering children with this clinical profile who are diagnosed with COVID-19.

Indexed as

asthmachildCOVID-19risk factorssevere acute respiratory syndromesigns and symptoms

Identifiers

PMID39457214
PMCPMC11506696

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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.