Evidence map›Paper›PMID 28178281›Full record

ArticlePloS one2017

Surveillance of HIV-1 pol transmitted drug resistance in acutely and recently infected antiretroviral drug-naïve persons in rural western Kenya.

Harris Onywera, David Maman, Seth Inzaule, Erick Auma, Kennedy Were, Harrison Fredrick, Prestone Owiti, Valarie Opollo, Jean-François Etard, Irene Mukui and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019
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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

12 authors at 5 institutions in 2 countries.

Harris OnyweraCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
David MamanEpicentre, Médecins Sans Frontières (MSF), Paris, France.
Seth InzauleCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Erick AumaCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Kennedy WereCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Harrison FredrickCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Prestone OwitiCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Valarie OpolloCenter for Global Health Research (CGHR), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Jean-François EtardTransVIHMI IRD UMI 233 -INSERM U 1175 -Université de Montpellier, Montpellier, France.
Irene MukuiNational AIDS and STI Control Programme (NASCOP), Ministry of Health, Nairobi, Kenya.
Andrea A KimUS Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Clement ZehUS Centers for Disease Control and Prevention (CDC), Kisumu, Kenya.
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · KEMédecins Sans Frontières · FRMinistry of Health · KEUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 transmitted drug resistance (TDR) is of increasing public health concern in sub-Saharan Africa with the rollout of antiretroviral (ARV) therapy. Such data are, however, limited in Kenya, where HIV-1 drug resistance testing is not routinely performed. From a population-based household survey conducted between September and November 2012 in rural western Kenya, we retrospectively assessed HIV-1 TDR baseline rates, its determinants, and genetic diversity among drug-naïve persons aged 15-59 years with acute HIV-1 infections (AHI) and recent HIV-1 infections (RHI) as determined by nucleic acid amplification test and both Limiting Antigen and BioRad avidity immunoassays, respectively. HIV-1 pol sequences were scored for drug resistance mutations using Stanford HIVdb and WHO 2009 mutation guidelines. HIV-1 subtyping was computed in MEGA6. Eighty seven (93.5%) of the eligible samples were successfully sequenced. Of these, 8 had at least one TDR mutation, resulting in a TDR prevalence of 9.2% (95% CI 4.7-17.1). No TDR was observed among persons with AHI (n = 7). TDR prevalence was 4.6% (95% CI 1.8-11.2) for nucleoside reverse transcriptase inhibitors (NRTIs), 6.9% (95% CI 3.2-14.2) for non- nucleoside reverse transcriptase inhibitors (NNRTIs), and 1.2% (95% CI 0.2-6.2) for protease inhibitors. Three (3.4% 95% CI 0.8-10.1) persons had dual-class NRTI/NNRTI resistance. Predominant TDR mutations in the reverse transcriptase included K103N/S (4.6%) and M184V (2.3%); only M46I/L (1.1%) occurred in the protease. All the eight persons were predicted to have different grades of resistance to the ARV regimens, ranging from potential low-level to high-level resistance. HIV-1 subtype distribution was heterogeneous: A (57.5%), C (6.9%), D (21.8%), G (2.3%), and circulating recombinant forms (11.5%). Only low CD4 count was associated with TDR (p = 0.0145). Our findings warrant the need for enhanced HIV-1 TDR monitoring in order to inform on population-based therapeutic guidelines and public health interventions.

Indexed as

Drug Resistance, ViralAdolescentAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountGenotypeHIV-1HIV InfectionsHumansKenyaMiddle AgedMutationPhylogenypol Gene Products, Human Immunodeficiency VirusPopulation SurveillanceAnti-HIV Agentspol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID28178281
PMCPMC5298248
OpenAlexW2586732453

What OpenQuestion holds

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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.