Evidence map›Paper›PMID 34816983›Full record

ArticleRevista de saude publica2021

Prevalence of symptoms of COVID-19 in the state of Rio Grande do Sul: results of a population-based study with 18,000 participants.

Marilia Arndt Mesenburg, Pedro Curi Hallal, Ana Maria Baptista Menezes, Aluísio J D Barros, Bernardo Lessa Horta, Fernando Pires Hartwig, Nadege Jacques, Lucia Campos Pellanda, Alice de Medeiros Zelmanowicz, Daiane Oliveira Pereira Vergani and 7 more

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2021. 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
3.8field-weighted citation impact, top 6% of its field
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, 8 citations in OpenAlex.

  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

17 authors at 9 institutions in 1 country.

Marilia Arndt MesenburgUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0001-9598-4193
Pedro Curi HallalUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0003-1470-6461
Ana Maria Baptista MenezesUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-2996-9427
Aluísio J D BarrosUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-2022-8729
Bernardo Lessa HortaUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0001-9843-412X
Fernando Pires HartwigUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0003-3729-0710
Nadege JacquesUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-2204-3330
Lucia Campos PellandaUniversidade Federal de Ciências da Saúde de Porto Alegre. Departamento de Saúde Coletiva. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0002-4593-3416
Alice de Medeiros ZelmanowiczUniversidade Federal de Ciências da Saúde de Porto Alegre. Departamento de Saúde Coletiva. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0001-9121-6365
Daiane Oliveira Pereira VerganiUniversidade de Caxias do Sul. Curso de Enfermagem. Caxias do Sul, RS, Brasil.ORCID http://orcid.org/0000-0003-2510-1740
Edi Franciele RiesUniversidade Federal de Santa Maria. Centro de Ciências da Saúde. Departamento de Saúde Coletiva. Santa Maria, RS, Brasil.ORCID http://orcid.org/0000-0001-6688-2913
Jenifer HarterUniversidade Federal do Pampa. Unidade Uruguaiana. Curso de Enfermagem. Uruguaiana, RS, Brasil.ORCID http://orcid.org/0000-0002-9130-4290
Jeovany Martínez-MesaFaculdade IMED Passo Fundo. Escola de Medicina. Programa de Pós-Graduação em Psicologia. Passo Fundo, RS, Brasil.ORCID http://orcid.org/0000-0003-1607-2247
Marcelo CarneiroUniversidade de Santa Cruz do Sul. Curso de Medicina. Programa de Pós-Graduação Promoção da Saúde. Santa Cruz, RS, Brasil.ORCID http://orcid.org/0000-0003-3603-1987
Sonara Lucia EstimaUniversidade La Salle Canoas. Curso de Enfermagem. Canos, RS, Brasil.ORCID http://orcid.org/0000-0002-5288-5811
Thiago Gomes HeckUniversidade Regional do Noroeste do Estado do Rio Grande do Sul. Programa de Pós-Graduação em Atenção Integral à Saúde. Ijuí, RS, Brasil.ORCID http://orcid.org/0000-0002-1242-5423
Mariangela Freitas da SilveiraUniversidade Federal de Pelotas. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-2861-7139
Universidade Federal de Pelotas · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BRAtitus Educação · BRUniversidade de Caxias do Sul · BRUniversidade de Santa Cruz do Sul · BRUniversidade Federal de Santa Maria · BRUniversidade Federal do Pampa · BRUniversidade La Salle · BRUniversidade Regional do Noroeste do Estado do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the prevalence of reports of symptoms of COVID-19 among individuals with and without antibodies and identify those with greater capability to predict the presence of antibodies against SARS-CoV-2.

methodsThe study uses data collected in phases 5 to 8 of Epicovid-19-RS. The presence of antibodies against SARS-CoV-2 was evaluated by a rapid test. The occurrence of cough, fever, palpitations, sore throat, difficulty breathing, changes in taste and smell, vomiting, diarrhea, body pain, shaking, and headache since March 2020 was also evaluated. Then, the capability to predict the evaluated symptoms concerning the presence of antibodies was calculated.

resultsA total of 18,000 individuals were interviewed and 181 had antibodies against COVID-19 in phases 5 to 8. The proportion of asymptomatic individuals was 19.9% among participants with antibodies and 49.7% among those without antibodies. All symptoms were reported more frequently by individuals with antibodies. The division of the prevalence of symptoms among individuals with antibodies by the prevalence among individuals without antibodies showed the following prevalence ratios: for changes in smell or taste (9.1), fever (4.2), tremors (3.9), breathing difficulty (3.2) and cough (2.8 times). Anosmia and fever were the symptoms with a greater capability to predict the presence of antibodies.

conclusionThe prevalence of symptoms was higher among individuals with antibodies against SARS-CoV-2. The proportion of asymptomatic individuals was low. Altered smell or taste and fever were the symptoms that most predict the presence of antibodies. These results can help to identify probable cases, contributing to the clinical diagnosis and screening of patients for testing and isolation guidance in positive cases, especially in scenarios of the scarcity of diagnostic COVID-19 tests.

Indexed as

COVID-19BrazilDiarrheaHumansPrevalenceSARS-CoV-2

Identifiers

PMID34816983
PMCPMC8601401
OpenAlexW3211944682

What Socratic 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 Socratic graph.