Evidence map›Paper›PMID 25748548›Full record

ArticleAIDS research and human retroviruses2015

Genotypic Variability of HIV-1 Reverse Transcriptase Gene from Long-Term Antiretroviral-Experienced Patients in Kenya.

Timothy J Nzomo, Rose C Kitawi, Ruth S Mwatelah, Rashid Aman, Maureen J Kimulwo, Geoffrey Masankwa, Javan Okendo, Raphael M Lwembe, Bernhards Ogutu, Anne Muigai and 1 more

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In one paragraph

Article in AIDS research and human retroviruses, 2015. 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
0.6field-weighted citation impact, top 33% 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, 4 citations in OpenAlex.

  1. Observational
  2. Article
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  4. 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

11 authors at 5 institutions in 2 countries.

Timothy J Nzomo1 Center for Research in Therapeutic Sciences, Strathmore University , Nairobi, Kenya .
Rose C Kitawi
Ruth S Mwatelah
Rashid Aman
Maureen J Kimulwo
Geoffrey Masankwa
Javan Okendo
Raphael M Lwembe
Bernhards Ogutu
Anne Muigai
Washingtone Ochieng
Strathmore University · KEJomo Kenyatta University of Agriculture and Technology · KEKenya Medical Research Institute · KEInternational Institute of Tropical Agriculture · KEKenyatta University · KE

Funding

Wellcome Trust RCDG-2012-005
6 · The paper itself

Abstract

There is continuous need to track genetic profiles of HIV strains circulating in different geographic settings to hasten vaccine discovery and inform public health and intervention policies. We partially sequenced the reverse transcriptase region of the HIV-1 pol gene from a total of 54 Kenyan patients aged 18-56 years who continued highly active antiretroviral treatment (HAART) for between 8 and 102 months. Subtyping was done using both the JPHMM tool and phylogenetic method. HIV-1 subtype A1 was the predominant strain in circulation, representing 57.4% and 70.4% of all isolates as determined by JPHMM and phylogenetic methods, respectively. Subtypes D (14.8%, 7.4%), C (5.6%, 9.3%), and A2 (0%, 5.6%) were determined at respective prevalence by both methods. JPHMM identified 22.2% of the isolates as recombinants. This surveillance focused on the RT gene and reaffirms the predominance of subtype A and an increasing proportion of recombinant strains in the Kenyan epidemic.

Indexed as

Genetic VariationGenotypeAdolescentAdultAnti-Retroviral AgentsFemaleGenotyping TechniquesHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansKenyaMaleMiddle AgedMolecular Sequence DataPhylogenyAnti-Retroviral AgentsHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1

Identifiers

PMID25748548
PMCPMC4426303
OpenAlexW1872993148

What OpenQuestion holds

Textmetadata
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.