Evidence map›Paper›PMID 39337867›Full record

ArticleLife (Basel, Switzerland)2024

COVID-19 in Brazilian Pediatric Patients: A Retrospective Cross-Sectional Study with a Predictive Model for Hospitalization.

Ana Paula Pacheco, Henrique Laureano, Laire Schidlowski, Natalia Ciorcero, Thalita Zanatto, Ariela Borgmann, Gabrielle Fragoso, Ana Luisa Giamberardino, Renata Dourado, Karine Dos Anjos and 6 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ana Paula PachecoPrograma de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.
Henrique LaureanoInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.ORCID 0000-0003-1654-8356
Laire SchidlowskiPrograma de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.
Natalia CiorceroInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Thalita ZanattoInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Ariela BorgmannInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.ORCID 0000-0001-8294-0167
Gabrielle FragosoInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Ana Luisa GiamberardinoResidency in Pediatrics, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Renata DouradoLaboratório Genômico, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Karine Dos AnjosServiços Diagnósticos, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Paulo JoãoUnidade de Terapia Intensiva, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Marina AssahideServiço de Infectologia Pediátrica, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Maria Cristina SilveiraUnidade de Terapia Intensiva e Pronto Atendimento, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Victor Costa-JuniorServiço de Infectologia Pediátrica, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Heloisa GiamberardinoServiço de Epidemiologia e Controle de Infecção Hospitalar, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.
Carolina PrandoPrograma de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.ORCID 0000-0002-9570-9770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to ascertain the most frequent symptoms of COVID-19 infection at first consultation in a pediatric cohort and to devise a predictive model for hospitalization.

methodsThis is a retrospective cross-sectional study of 1028 Brazilian patients aged <18 years with SARS-CoV-2 infection in a single reference hospital in the first year of the pandemic. Clinical, demographic, laboratory, and disease spectrum data were analyzed via multivariate logistic regression modeling to develop a predictive model of factors linked to hospitalization.

resultsThe majority of our cohort were schoolchildren and adolescents, with a homogeneous distribution concerning sex. At first consultation, most patients presented with fever (64.1%) and respiratory symptoms (63.3%). We had 204 admitted patients, including 11 with Pediatric Multisystem Inflammatory Syndrome. Increased D-dimer levels were associated with comorbidities (

conclusionsMost patients presented with mild conditions with outpatient treatment. However, understanding predictors for hospitalization can contribute to medical decisions at the first patient visit.

Indexed as

hospitalizationpediatricsSARS-CoV-2

Identifiers

PMID39337867
PMCPMC11433062

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.