Evidence map›Paper›PMID 35936224›Full record

ArticleLancet regional health. Americas2022

Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey.

Lara E Coelho, Paula M Luz, Débora C Pires, Emilia M Jalil, Hugo Perazzo, Thiago S Torres, Sandra W Cardoso, Eduardo M Peixoto, Sandro Nazer, Eduardo Massad and 13 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

23 authors.

Lara E CoelhoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Paula M LuzInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Débora C PiresInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Emilia M JalilInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Hugo PerazzoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Thiago S TorresInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Sandra W CardosoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Eduardo M PeixotoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Sandro NazerInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Eduardo MassadEscola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brasil.
Mariângela F SilveiraPrograma de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Rio Grande do Sul, Brasil.
Fernando C BarrosUniversidade Católica de Pelotas, Rio Grande do Sul, Brasil.
Ana T R VasconcelosLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Brasil.
Carlos A M CostaEscola Nacional de Saúde Pública, FIOCRUZ, Rio de Janeiro, Brasil.
Rodrigo T AmancioHospital Federal dos Servidores do Estado, Rio de Janeiro, Brasil.
Daniel A M VillelaPrograma de Computação Científica (PROCC), FIOCRUZ, Rio de Janeiro, Brasil.
Tiago PereiraInstituto de Ciências Matemáticas e Computação, Universidade de São Paulo, Brasil.
Guilherme T GoedertUniversità degli Studi di Roma Tor Vergata and INFN, Rome, Italy.
Cleber V B D SantosInstituto de Medicina Social Hesio Cordeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil.
Nadia C P RodriguesEscola Nacional de Saúde Pública, FIOCRUZ, Rio de Janeiro, Brasil.
Beatriz GrinsztejnInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Valdilea G VelosoInstituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, Brasil.
Claudio J StruchinerEscola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brasil.

Funding

The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)U01AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI GRINSZTEJN, BEATRIZ · 2008 to 2011
$14.0M
NIAID NIH HHS U01 AI069476
6 · The paper itself

Abstract

Background: COVID-19 serosurveys allow for the monitoring of the level of SARS-CoV-2 transmission and support data-driven decisions. We estimated the seroprevalence of anti-SARS-CoV-2 antibodies in a large Methods: A population-based panel study was conducted in Complexo de Manguinhos (16 Findings: 4,033 participants were included (from Sep/2020 to Feb/2021, 22 epidemic weeks), the median age was 39·8 years (IQR:21·8-57·7), 61% were female, 41% were mixed-race ( Interpretation: We found a significantly higher prevalence of anti-S IgG antibodies than initially anticipated. Disparities in estimates obtained using different serological assays highlight the need for cautious interpretation of serosurveys estimates given the heterogeneity of exposure in communities, loss of immunological biomarkers, serological antigen target, and variant-specific test affinity. Funding: Fundação Oswaldo Cruz, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ), the European Union's Horizon 2020 research and innovation programme, Royal Society, Serrapilheira Institute, and FAPESP.

Indexed as

AntibodiesBrazilCOVID-19SerosurveysSocial inequity

Identifiers

PMID35936224
PMCPMC9337985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.