Evidence map›Paper›PMID 34067873›Full record

ArticleViruses2021

Hepatitis E Virus in People Who Use Crack-Cocaine: A Cross-Sectional Study in a Remote Region of Northern Brazil.

Raquel Silva do Nascimento, Karen Lorena N Baia, Samara Borges de Souza, Guilherme Martins G Fontoura, Patrícia Ferreira Nunes, Luiz Fernando A Machado, Emil Kupek, Benedikt Fischer, Luísa Caricio Martins, Aldemir B Oliveira-Filho

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Seroprevalence of hepatitis E virus infection among volunteer blood donors in Central Brazil.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

10 authors at 3 institutions in 3 countries.

Raquel Silva do NascimentoGrupo de Estudo e Pesquisa em Populações Vulneráveis, Instituto de Estudos Costeiros, Universidade Federal do Pará, Bragança 68600-000, Brazil.ORCID 0000-0002-6130-8493
Karen Lorena N BaiaGrupo de Estudo e Pesquisa em Populações Vulneráveis, Instituto de Estudos Costeiros, Universidade Federal do Pará, Bragança 68600-000, Brazil.ORCID 0000-0001-7729-1780
Samara Borges de SouzaGrupo de Estudo e Pesquisa em Populações Vulneráveis, Instituto de Estudos Costeiros, Universidade Federal do Pará, Bragança 68600-000, Brazil.ORCID 0000-0002-7457-7836
Guilherme Martins G FontouraGrupo de Estudo e Pesquisa em Populações Vulneráveis, Instituto de Estudos Costeiros, Universidade Federal do Pará, Bragança 68600-000, Brazil.ORCID 0000-0001-5430-0728
Patrícia Ferreira NunesPrograma de Pós-Graduação em Doenças Tropicais, Universidade Federal do Pará, Belém 66055-240, Brazil.ORCID 0000-0002-8137-1596
Luiz Fernando A MachadoLaboratório de Virologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil.ORCID 0000-0002-4571-4715
Emil KupekDepartamento de Saúde Pública, Universidade Federal de Santa Catarina, Florianópolis 88040-900, Brazil.ORCID 0000-0001-6704-1673
Benedikt FischerFaculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0002-2186-4030
Luísa Caricio MartinsPrograma de Pós-Graduação em Doenças Tropicais, Universidade Federal do Pará, Belém 66055-240, Brazil.ORCID 0000-0002-8211-5164
Aldemir B Oliveira-FilhoGrupo de Estudo e Pesquisa em Populações Vulneráveis, Instituto de Estudos Costeiros, Universidade Federal do Pará, Bragança 68600-000, Brazil.ORCID 0000-0002-4888-3530
Universidade Federal do Pará · BRUniversidade Federal de Santa Catarina · BRUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People who use crack-cocaine (PWUCC) have numerous vulnerabilities and pose a challenge to health and social assistance services. The exposure to pathogens and risk situations occur differently according to each individual, region and social group. This study identified the presence, genotypes and factors associated with hepatitis E virus (HEV) exposure among a community-recruited cohort of 437 PWUCC in northern Brazil. Epidemiological information was collected through community-based assessments and interviews. Thereafter, blood and fecal samples were collected and tested for HEV using an immunoenzymatic assay, and the genotype was identified by PCR. Logistic regressions were used to identify the risk factors independently associated with exposure to HEV. In total, 79 (18.1%) PWUCC were exposed to HEV: 73 (16.7%) for IgG and six for IgG + IgM. HEV RNA was detected in six fecal samples and in two blood samples from PWUCC with IgM + IgG. Subtype 3c was identified in all of the samples. The factors associated with exposure to HEV were low monthly income, unstable housing (e.g., homelessness), crack-cocaine use ≥40 months, and the shared use of crack-cocaine equipment. The current study provides unique initial insights into HEV status and risk factors among PWUCC in a remote area in Brazil, with diverse implications for urgently improved diagnosis, prevention, and treatment intervention needs.

Indexed as

Crack CocaineDrug UsersHepatitis E virusAdolescentAdultBrazilCross-Sectional StudiesFemaleGenotypeGeography, MedicalHepatitis EHumansMaleMiddle AgedPhylogenyPublic Health SurveillanceCrack CocaineBrazilcrack-cocaineepidemiologyexposuregenotypeHEVinterventionrisk factors

Identifiers

PMID34067873
PMCPMC8156048
OpenAlexW3163743132

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.