Evidence map›Paper›PMID 35946770›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2022

Self-reported symptoms and seroprevalence against SARS-CoV-2 in the population of Mato Grosso: a household-based survey in 2020.

Ana Cláudia Pereira Terças-Trettel, Ana Paula Muraro, Amanda Cristina de Souza Andrade, Elaine Cristina de Oliveira

Abstract read
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Prevalence and Factors Associated with Olfactory Dysfunction in Individuals with COVID-19 in Brazil: A Study of 20,669 Cases from 2020 to 2021.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Article
  4. 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.

Ana Cláudia Pereira Terças-TrettelUniversidade do Estado de Mato Grosso, Programa de pós-graduação em Saúde Coletiva - Tangará da Serra (MT), Brazil.ORCID http://orcid.org/0000-0001-8761-3325
Ana Paula MuraroUniversidade Federal de Mato Grosso, Instituto de Saúde Coletiva - Cuiabá (MT), Brazil.ORCID http://orcid.org/0000-0001-6237-1673
Amanda Cristina de Souza AndradeUniversidade Federal de Mato Grosso, Instituto de Saúde Coletiva - Cuiabá (MT), Brazil.ORCID http://orcid.org/0000-0002-3366-4423
Elaine Cristina de OliveiraSecretaria de Estado de Saúde de Mato Grosso - Cuiabá (MT), Brazil.ORCID http://orcid.org/0000-0002-5224-7078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to analyze the association between self-reported symptoms and seroprevalence against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the population of Mato Grosso.

methodsA household-based survey was conducted on 4,206 adults from 10 municipalities of Mato Grosso, in the Brazilian Midwest, who were selected by cluster sampling in three stages. Questionnaires were applied between September and October 2020, and chemiluminescence was used for the quantitative determination of immunoglobulin G (IgG) antibodies against the S1 and S2 proteins of SARS-CoV-2.

resultsApproximately half (47.0%) of individuals with SARS-CoV-2 antibodies (12.5%) reported having no symptoms. The most prevalent symptoms among individuals with antibodies were body pain (37.0%), fever (32.9%), and smell and taste change (28.7%). The search for a basic health unit was predominant (45.0%) as the first service, and only 5.3% reported being hospitalized.

conclusionA high proportion of asymptomatic cases of coronavirus disease 2019 (COVID-19) was identified in the general population, even among older adults and individuals with comorbidities.

Indexed as

COVID-19SARS-CoV-2AgedAntibodies, ViralBrazilHumansSelf ReportSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID35946770
PMCPMC9574950

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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.