Evidence map›Paper›PMID 32041537›Full record

ArticleBMC infectious diseases2020

Hepatitis C screening, diagnosis, and cascade of care among people aged > 40 years in Brasilia, Brazil.

Daniela Mariano Carvalho-Louro, Eric Bassetti Soares, Jose Eduardo Trevizoli, Thayna Moreira Gomes Marra, Alexandre Lima Rodrigues da Cunha, Marcelo Palmeira Rodrigues, Adriana Claudia Lopes Carvalho-Furtado, Beatriz Taynara Araujo Dos Santos, Francisco de Assis da Rocha Neves

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. 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
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Daniela Mariano Carvalho-LouroGastroenterology Unit, Instituto Hospital de Base, Brasilia, Federal District, 70322-000, Brazil. daniela.mac@gmail.com.ORCID http://orcid.org/0000-0001-8859-7769
Eric Bassetti SoaresGilead Sciences Farmacêutica do Brasil Ltd. and Liver Center at UFMG, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 04711-130, Brazil.
Jose Eduardo TrevizoliGastroenterology Unit, Instituto Hospital de Base, Brasilia, Federal District, 70322-000, Brazil.
Thayna Moreira Gomes MarraPostgraduate Program in Health Sciences and Technologies, University of Brasilia, Brasilia, Federal District, 70919-970, Brazil.
Alexandre Lima Rodrigues da CunhaSabin Laboratory Ltd., Brasilia, Federal District, 70632-300, Brazil.
Marcelo Palmeira RodriguesPneumology Unit, Faculty of Medicine, University of Brasilia, Brasilia, Federal District, 70673-432, Brazil.
Adriana Claudia Lopes Carvalho-FurtadoEndocrinology Unit, Instituto Hospital de Base, Brasilia, Federal District, 70322-000, Brazil.
Beatriz Taynara Araujo Dos SantosSubsecretaria de Atencao Integral a Saude, Secretaria do Estado de Saude do Distrito Federal, Brasilia, Federal District, 70770-200, Brazil.
Francisco de Assis da Rocha NevesMolecular Pharmacology Laboratory, Faculty of Health Sciences, University of Brasilia, Brasilia, Federal District, 70919-970, Brazil.
Hospital de Base · BRUniversidade de Brasília · BRSabin Medicina Diagnostica (Brazil) · BRSecretaria de Estado de Educação do Distrito Federal · BRUniversidade Federal de Minas Gerais · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico CNPq 309989/2014-0
6 · The paper itself

Abstract

backgroundIdentifying patients with hepatitis C virus (HCV) infection and enhancing the cascade of care are essential for eliminating HCV infection. This study aimed to estimate the prevalence of positive anti-HCV serology in Brasilia, Brazil, and evaluate the efficiency of the cascade of care for HCV-positive individuals.

methodsThis cross-sectional study analyzed 57,697 rapid screening tests for hepatitis C in individuals aged > 40 years between June 2018 and June 2019. HCV-positive patients were contacted and scheduled to undergo the HCV RNA viral test, genotyping, and transient elastography.

resultsThe prevalence of positive serology was 0.27%. Among 161 patients with positive anti-HCV serology, 124 (77%) were contacted, 109 (67.7%) were tested for HCV RNA viral load, and 69 (42.8%) had positive results. Genotype 1 (75%) was the most prevalent genotype. Among 65 patients (94.2%) who underwent transient elastography, 30 (46.2%) presented with advanced fibrosis. Additionally, of the 161 patients, 55 (34.1%) were referred for treatment, but only 39 (24.2%) complied, with 36 (22.4%) showing sustained virological response. By the end of the study, 16 patients were still awaiting to receive medication.

conclusionsThe prevalence of HCV-positive patients was low in Brasilia, and the gaps in the cascade of care for these patients were significantly below the targets of HCV infection elimination. This study opens new avenues for eliminating HCV infection and suggests that partnerships with clinical laboratories to conduct anti-HCV tests are a useful strategy to improve HCV diagnosis.

trial registrationResearch Ethics Committee of the Faculty of Health Sciences of the University of Brasília - UNB (CAAE number 77818317.2.0000.0030) and by the Ethics Committee of the Health Science Teaching and Research Foundation - FEPECS/SES/DF (CAAE number 77818317.2.3001.5553).

Indexed as

Mass ScreeningAdultAgedAntiviral AgentsBrazilCross-Sectional StudiesFemaleGenotypeHepacivirusHepatitis CHumansLiver CirrhosisMaleMiddle AgedPrevalenceSerologic TestsAntiviral AgentsChronic hepatitis CDiagnosisHepatitis C virusPrevalenceScreening

Identifiers

PMID32041537
PMCPMC7011476
OpenAlexW3012738221

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.