Evidence map›Paper›PMID 28403828›Full record

ArticleBMC infectious diseases2017

Lower genetic variability of HIV-1 and antiretroviral drug resistance in pregnant women from the state of Pará, Brazil.

Luiz Fernando Almeida Machado, Iran Barros Costa, Maria Nazaré Folha, Anderson Levy Bessa da Luz, Antonio Carlos Rosário Vallinoto, Ricardo Ishak, Marluisa Oliveira Guimarães Ishak

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2017. 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
0.8field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. HIV-1 genetic diversity and drug resistance mutations in the northern Brazilian region.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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

7 authors at 1 institution in 1 country.

Luiz Fernando Almeida MachadoVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil. lfam@ufpa.br.
Iran Barros CostaVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil.
Maria Nazaré FolhaReference Unit Specialized in Maternal-Child and Adolescent Care, Alcindo Cacela 1421, Sao Bras, CEP 66040-020, Belem, Pará, Brazil.
Anderson Levy Bessa da LuzVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil.
Antonio Carlos Rosário VallinotoVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil.
Ricardo IshakVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil.
Marluisa Oliveira Guimarães IshakVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Augusto Correa 1, Guama, Belem, Para, CEP 66075-110, Brazil.
Universidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to describe the genetic diversity of HIV-1, as well as the resistance profile of the viruses identified in HIV-1 infected pregnant women under antiretroviral therapy in the state of Pará, Northern Brazil.

methodsBlood samples were collected from 45 HIV-1 infected pregnant to determine the virus subtypes according to the HIV-1 protease (PR) gene and part of the HIV-1 reverse transcriptase (RT) gene by sequencing the nucleotides of these regions. Drug resistance mutations and susceptibility to antiretroviral drugs were analyzed by the Stanford HIV Drug Resistance Database.

resultsOut of 45 samples, only 34 could be amplified for PR and 30 for RT. Regarding the PR gene, subtypes B (97.1%) and C (2.9%) were identified; for the RT gene, subtypes B (90.0%), F (6.7%), and C (3.3%) were detected. Resistance to protease inhibitors (PI) was identified in 5.8% of the pregnant, and mutations conferring resistance to nucleoside reverse transcriptase inhibitors were found in 3.3%, while mutations conferring resistance to non-nucleoside reverse transcriptase inhibitors were found in 3.3%.

conclusionsThese results showed a low frequency of strains resistant to antiretroviral drugs, the prevalence of subtypes B and F, and the persistent low transmission of subtype C in pregnant of the state of Pará, Brazil.

Indexed as

Drug Resistance, ViralGenetic VariationAdolescentAdultAnti-HIV AgentsBrazilFemaleGenotypeHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansMaleMutationParityPhylogenyAnti-HIV AgentsHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase InhibitorsHIV-1Molecular epidemiologyPregnant

Identifiers

PMID28403828
PMCPMC5389155
OpenAlexW2606823726

What OpenQuestion holds

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LicenceCC BY
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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.