Evidence map›Paper›PMID 27907009›Full record

ArticlePloS one2016

Moderate Levels of Pre-Treatment HIV-1 Antiretroviral Drug Resistance Detected in the First South African National Survey.

Kim Steegen, Sergio Carmona, Michelle Bronze, Maria A Papathanasopoulos, Gert van Zyl, Dominique Goedhals, William MacLeod, Ian Sanne, Wendy S Stevens

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  6. Clinical Presentation, Treatment Response, and Virology Outcomes of Women Who Seroconverted in the Dapivirine Vaginal Ring Trials-The Ring Study and DREAM.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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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

9 authors at 4 institutions in 2 countries.

Kim SteegenDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa.
Sergio CarmonaDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa.
Michelle BronzeNational Health Laboratory Services, Johannesburg, South Africa.
Maria A PapathanasopoulosDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa.
Gert van ZylNational Health Laboratory Services, Johannesburg, South Africa.
Dominique GoedhalsNational Health Laboratory Services, Johannesburg, South Africa.
William MacLeodCenter for Global Health and Development, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Ian SanneRight to Care, Johannesburg, South Africa.
Wendy S StevensDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa.
National Health Laboratory Service · ZAUniversity of the Witwatersrand · ZABoston University · USRight to Care · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to assess the level of transmitted and/or pre-treatment antiretroviral drug resistance to HIV-1, the World Health Organization (WHO) recommends that regular surveys are conducted. This study's objective was to assess the frequency of HIV-1 antiretroviral drug resistance in patients initiating antiretroviral treatment (ART) in the public sector throughout South Africa.

methodsA prospective cross-sectional survey was conducted using probability proportional to size sampling. This method ensured that samples from each province were proportionally collected, based on the number of patients receiving ART in each region. Samples were collected between March 2013 and October 2014. Pol sequences were obtained using RT-PCR and Sanger sequencing and submitted to the Stanford Calibrated Population Resistance tool v6.0.

resultsA total of 277 sequences were available for analysis. Most participants were female (58.8%) and the median age was 34 years (IQR: 29-42). The median baseline CD4-count was 149 cells/mm3 (IQR: 62-249) and, based on self-reporting, participants had been diagnosed as HIV-positive approximately 44 days prior to sample collection (IQR: 23-179). Subtyping revealed that 98.2% were infected with HIV-1 subtype C. Overall, 25 out of 277 patients presented with ≥1 surveillance drug resistance mutation (SDRM, 9.0%, 95% CI: 6.1-13.0%). Non-nucleoside reverse transcriptase inhibitor (NNRTI) mutations were the most numerous mutations detected (n = 23). Only two patients presented with a protease inhibitor (PI) mutation. In four patients ≥4 SDRMs were detected, which might indicate that these patients were not truly ART-naïve or were infected with a multi-resistant virus.

conclusionsThese results show that the level of antiretroviral drug resistance in ART-naïve South Africans has reached moderate levels, as per the WHO classification. Therefore, regular surveys of pre-treatment drug resistance levels in all regions of South Africa is highly recommended to monitor the changing levels of pre-treatment antiretroviral drug resistance.

Indexed as

AdultAnti-HIV AgentsAnti-Retroviral AgentsDrug Resistance, ViralFemaleGenotypeHIV-1HIV InfectionsHIV SeropositivityHumansMaleMutationReverse Transcriptase InhibitorsSouth AfricaSurveys and QuestionnairesWorld Health OrganizationAnti-HIV AgentsAnti-Retroviral AgentsReverse Transcriptase Inhibitors

Identifiers

PMID27907009
PMCPMC5132262
OpenAlexW2557772666

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.