Evidence map›Paper›PMID 35077483›Full record

ArticlePloS one2022

Clinical, anamnestic, and sociodemographic predictors of positive SARS-CoV-2 testing in children: A cross sectional study in a tertiary hospital in Italy.

Benedetta Armocida, Giulia Zamagni, Elena Magni, Lorenzo Monasta, Manola Comar, Nunzia Zanotta, Carolina Cason, Giorgia Argentini, Marianela Urriza, Andrea Cassone and 10 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

20 authors.

Benedetta ArmocidaClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0003-3583-2790
Giulia ZamagniClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Elena MagniClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Lorenzo MonastaClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0001-7774-548X
Manola ComarUnit of Advanced Microbiology Diagnosis and Translational Research, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Nunzia ZanottaUnit of Advanced Microbiology Diagnosis and Translational Research, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Carolina CasonUnit of Advanced Microbiology Diagnosis and Translational Research, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Giorgia ArgentiniMedical Direction, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Marianela UrrizaMedical Direction, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Andrea CassoneHealth Professions Direction, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Fulvia VascottoHealth Professions Direction, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Roberto BuzzettiEpidemiologist, Bergamo, Italy.
Egidio BarbiUniversity of Trieste, Trieste, Italy.
Massimo Del PinDepartment of Medicine, University of Udine, Udine, Italy.ORCID 0000-0003-2666-8853
Paola PaniClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Alessandra KnowlesClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0003-4504-6371
Claudia CarlettiClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0002-9608-6544
Federica ConcinaClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Mariarosa MilincoClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
Luca RonfaniClinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0001-5710-3914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to identify clinical, anamnestic, and sociodemographic characteristics associated with a positive swab for SARS-CoV2, and to provide a predictive score to identify at risk population in children aged 2-14 years attending school and tested for clinical symptoms of COVID-19.

designCross sectional study.

settingOutpatient clinic of the IRCCS Burlo Garofolo, a maternal and child health tertiary care hospital and research centre in Italy. DATA COLLECTION AND ANALYSIS: Data were collected through a predefined form, filled out by parents, and gathered information on sociodemographic characteristics, and specific symptoms, which were analysed to determine their association with a positive SARS-CoV-2 swab. The regression coefficients of the variables included in the multivariate analysis were further used in the calculation of a predictive score of the positive or negative test.

resultsBetween September 20th and December 23rd 2020, from 1484 children included in the study, 127 (8.6%) tested positive. In the multivariate analysis, the variables retained by the model were the presence of contact with a cohabiting, non-cohabiting or unspecified symptomatic case (respectively OR 37.2, 95% CI 20.1-68.7; 5.1, 95% CI 2.7-9.6; 15.6, 95% CI 7.3-33.2); female sex (OR 1.49, 95% CI 1.0-2.3); age (6-10 years old: OR 3.2, 95% CI 1.7-6.1 p<0.001; >10 years old: OR 4.8, 95% CI 2.7-8.8 p<0.001); fever (OR 3.9, 95% CI 2.3-6.4); chills (OR 1.9, 95% CI 1.1-3.3); headache (OR 1.45, 95% CI 0.9-2.4); ageusia (OR 1.3, 95% CI 0.5-4.0); sore throat (OR 0.48, 95% CI 0.3-0.8); earache (OR 0.4, 95% CI 0.1-1.3); rhinorrhoea (OR 0.8, 95% CI 0.5-1.3); and diarrhoea (OR 0.52, 95% CI 0.2-1.1). The predictive score based on these variables generated 93% sensitivity and 99% negative predictive value.

conclusionsThe timely identification of SARS-CoV2 cases among children is useful to reduce the dissemination of the disease and its related burden. The predictive score may be adopted in a public health perspective to rapidly identify at risk children.

Indexed as

AdolescentAge FactorsChildChild, PreschoolComorbidityCOVID-19COVID-19 Nucleic Acid TestingFemaleHumansItalyMaleSex FactorsSocioeconomic FactorsTertiary Care Centers

Identifiers

PMID35077483
PMCPMC8789147

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Registered trials

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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.