Evidence map›Paper›PMID 28591401›Full record

ArticleMemorias do Instituto Oswaldo Cruz2017

An overview of the molecular and epidemiological features of HIV-1 infection in two major cities of Bahia state, Brazil.

Amanda Gm Amaral, Isabele B Oliveira, Diego C Carneiro, Luiz Cj Alcantara, Joana P Monteiro-Cunha

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 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

5 authors at 2 institutions in 1 country.

Amanda Gm AmaralUniversidade Federal da Bahia, Departamento de Biofunção, Núcleo de Bioinformática, Salvador, BA, Brasil.
Isabele B OliveiraUniversidade Federal da Bahia, Departamento de Biofunção, Núcleo de Bioinformática, Salvador, BA, Brasil.
Diego C CarneiroUniversidade Federal da Bahia, Departamento de Biofunção, Núcleo de Bioinformática, Salvador, BA, Brasil.
Luiz Cj AlcantaraFundação Oswaldo Cruz-Fiocruz, Instituto Gonçalo Moniz, Salvador, BA, Brasil.
Joana P Monteiro-CunhaUniversidade Federal da Bahia, Departamento de Biofunção, Núcleo de Bioinformática, Salvador, BA, Brasil.
Universidade Federal da Bahia · BRFundação Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high mutation rate of the human immunodeficiency virus (HIV) has created a public health challenge because the use of antiretroviral drugs can generate selective pressure that drives resistance in these viruses.

objectiveThe aim of this work was to characterise the molecular and epidemiological profile of HIV in Bahia, Brazil.

methodsDNA sequences from regions of HIV gag, pol, and env genes were obtained from previous studies performed in this area between 2002 and 2012. Their genotype and drug-resistance mutations were identified using bioinformatics tools. Clinical and epidemiological data were analysed.

findingsAmong 263 individuals (46.4% male), 97.5% were asymptomatic and 49.1% were receiving treatment. Most of the individuals were 31 to 40 years old (36.9%) and infected through heterosexual contact (40.7%). The predominant genotype was B (68.1%) followed by BF recombinants (18.6%). Among the individuals infected with either F or BF genotypes, 68.4% were women and 76.8% were infected through heterosexual transmission. The prevalence of associated mutations conferring antiretroviral resistance was 14.2%, with 3.8% of all mutations conferring resistance to protease inhibitors, 9.43% to nucleoside reverse transcriptase inhibitors, and 8.5% to non-nucleoside reverse transcriptase inhibitors. Drug resistance was higher in individuals receiving treatment (26.1%) than in the drug-naïve (4.3%) individuals. MAIN

conclusionsThis study will contribute to the understanding and monitoring of HIV epidemic in this Brazilian region.

Indexed as

AdultAgedBrazilDrug Resistance, ViralFemaleGenotypeHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansMaleMiddle AgedMutationRisk FactorsSequence Analysis, DNAHIV Reverse Transcriptase

Identifiers

PMID28591401
PMCPMC5446230
OpenAlexW2621666037

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.