Evidence map›Paper›PMID 35476084›Full record

ArticleEinstein (Sao Paulo, Brazil)2022

Seroprevalence of hepatitis B, C and D markers in indigenous patients seen at the Native American Outpatient Clinic of Universidade Federal de São Paulo.

Manuel Mindlin Lafer, Roberta Sitnik, Marcos Schaper Dos Santos Júnior, Douglas Antônio Rodrigues, João Renato Rebello Pinho

Abstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Manuel Mindlin LaferHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-2640-9256
Roberta SitnikHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-6243-8118
Marcos Schaper Dos Santos JúniorUniversidade Federal de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5439-1965
Douglas Antônio RodriguesUniversidade Federal de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-6810-5410
João Renato Rebello PinhoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-3999-0489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo detect and treat cases of viral hepatitis B, C and D in patients seen at the Native American Outpatient Clinic of Universidade Federal de São Paulo.

methodsThis sample comprised 81 indigenous recruited between 2018 and 2020. Volunteers were aged 7 months to 70 years (mean age of 28±20 years), belonged to 26 ethnic groups spanning the Brazilian territory and answered a questionnaire, which was attached to their medical records. Peripheral blood samples (20mL) were collected, transported to the Clinical Laboratory of Hospital Israelita Albert Einstein, processed, and tested for markers of viral hepatitis B, C and D.

resultsIn this study, 39 (48.1%) individuals were anti-HBs (+) only, 13 (16.0%) individuals were anti-HBs (+) and anti-HBc (+), and 28 (34.6%) individuals were negative for all markers. No anti-HBc IgM+ samples were found. No cases of hepatitis C and D were found.

conclusionThis analysis provided evidence of previous infection by the hepatitis B virus. These findings led to prescription of vaccination against hepatitis B to all participants who were negative for all viral hepatitis B markers, given records of prior hepatitis B vaccination were unreliable.

Indexed as

Hepatitis BAdolescentAdultAmbulatory Care FacilitiesAmerican Indian or Alaska NativeBiomarkersBrazilChildHepatitis B AntibodiesHumansMiddle AgedSeroepidemiologic StudiesYoung AdultBiomarkersHepatitis B Antibodies

Identifiers

PMID35476084
PMCPMC9000980

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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.