Evidence map›Paper›PMID 35083245›Full record

ArticleFrontiers in medicine2021

Distribution of Human Immunodeficiency Virus and Human T-Leukemia Virus Co-infection in Bahia, Brazil.

Felicidade Mota Pereira, Fred Luciano Neves Santos, Ângelo Antônio Oliveira Silva, Nathan Menezes Nascimento, Maria da Conceição Chagas Almeida, Roberto Perez Carreiro, Bernardo Galvão-Castro, Maria Fernanda Rios Grassi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Review
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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

8 authors at 2 institutions in 1 country.

Felicidade Mota PereiraAdvanced Health Public Laboratory, Gonçalo Moniz Institute, Fundação Oswaldo Cruz - Bahia (FIOCRUZ-BA), Salvador, Brazil.
Fred Luciano Neves SantosAdvanced Health Public Laboratory, Gonçalo Moniz Institute, Fundação Oswaldo Cruz - Bahia (FIOCRUZ-BA), Salvador, Brazil.
Ângelo Antônio Oliveira SilvaAdvanced Health Public Laboratory, Gonçalo Moniz Institute, Fundação Oswaldo Cruz - Bahia (FIOCRUZ-BA), Salvador, Brazil.
Nathan Menezes NascimentoBahiana School of Medicine and Public Health, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil.
Maria da Conceição Chagas AlmeidaMolecular Epidemiology and Biostatistics Laboratory, Gonçalo Moniz Institute, FIOCRUZ-BA, Salvador, Brazil.
Roberto Perez CarreiroCenter for Integration of Data and Health Knowledge, Centro de Integração de Dados e Conhecimentos para Saúde (CIDACS), Gonçalo Moniz Institute, FIOCRUZ-BA, Salvador, Brazil.
Bernardo Galvão-CastroAdvanced Health Public Laboratory, Gonçalo Moniz Institute, Fundação Oswaldo Cruz - Bahia (FIOCRUZ-BA), Salvador, Brazil.
Maria Fernanda Rios GrassiAdvanced Health Public Laboratory, Gonçalo Moniz Institute, Fundação Oswaldo Cruz - Bahia (FIOCRUZ-BA), Salvador, Brazil.
Fundação Oswaldo Cruz · BREscola Bahiana de Medicina e Saúde Pública · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Immunodeficiency Virus (HIV) and Human T-Leukemia Virus (HTLV) are retroviruses that share similar routes of transmission. In Brazil, the prevalence of HIV and HTLV varies according to geographic region. The state of Bahia, located in the Northeast region, is considered endemic for both retroviruses. The present study aimed to characterize the frequency of HIV/HTLV coinfection and evaluate the geographic distribution of coinfection throughout the state. This cross-sectional study was conducted at the state's Central Laboratory of Public Health (LACEN-BA) and included all samples from 2004 to 2013 submitted to serological testing for anti-HIV and anti-HTLV-1/2, screened by chemiluminescence/ELISA and confirmed by Western blot. Infection rates are expressed as the number of infected individuals per 100,000 inhabitants from each municipality. A total of 129,158 samples originating from 358/417 (85.8%) municipalities in Bahia were evaluated. HTLV was detected in 2.4% of the HIV-positive samples (

Indexed as

BahiacoinfectionepidemiologyHIVHTLV

Identifiers

PMID35083245
PMCPMC8784416
OpenAlexW4205099379

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.