Evidence map›Paper›PMID 33147285›Full record

ArticlePloS one2020

HIV drug resistance profile in South Africa: Findings and implications from the 2017 national HIV household survey.

Sizulu Moyo, Gillian Hunt, Khangelani Zuma, Mpumi Zungu, Edmore Marinda, Musawenkosi Mabaso, Vibha Kana, Monalisa Kalimashe, Johanna Ledwaba, Inbarani Naidoo and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 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

18 authors at 3 institutions in 2 countries.

Sizulu MoyoHuman Sciences Research Council, Pretoria, South Africa.ORCID 0000-0002-5296-3242
Gillian HuntCentre for HIV and STIs, National Institute of Communicable Diseases, Johannesburg, South Africa.ORCID 0000-0001-8933-0628
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.
Mpumi ZunguHuman Sciences Research Council, Pretoria, South Africa.
Edmore MarindaHuman Sciences Research Council, Pretoria, South Africa.
Musawenkosi MabasoHuman Sciences Research Council, Pretoria, South Africa.
Vibha KanaCentre for HIV and STIs, National Institute of Communicable Diseases, Johannesburg, South Africa.
Monalisa KalimasheCentre for HIV and STIs, National Institute of Communicable Diseases, Johannesburg, South Africa.
Johanna LedwabaCentre for HIV and STIs, National Institute of Communicable Diseases, Johannesburg, South Africa.
Inbarani NaidooHuman Sciences Research Council, Pretoria, South Africa.ORCID 0000-0001-7590-0618
Sinovuyo TakatshanaHuman Sciences Research Council, Pretoria, South Africa.
Tebogo MatjokotjaHuman Sciences Research Council, Pretoria, South Africa.
Cheryl DietrichDivision of Global HIV and TB, Centers for Disease Control and Prevention, Pretoria, South Africa.
Elliot RaizesDivision of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Karidia DialloDivision of Global HIV and TB, Centers for Disease Control and Prevention, Pretoria, South Africa.
Gurpreet KindraDivision of Global HIV and TB, Centers for Disease Control and Prevention, Pretoria, South Africa.ORCID 0000-0002-9202-4784
Linnetie MugoreDivision of Global HIV and TB, Centers for Disease Control and Prevention, Pretoria, South Africa.
Thomas RehleSchool of Public Health, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-7437-4345
Human Sciences Research Council · ZACenters for Disease Control and Prevention · USUniversity of Cape Town · ZA

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundHIV drug resistance (HIVDR) testing was included in the 2017 South African national HIV household survey. We describe the prevalence of HIVDR by drug class, age, sex and antiretroviral drugs (ARV) status.

methodsDried blood were spots tested for HIV, with Viral load (VL), exposure to ARVs and HIVDR testing among those HIV positive. HIVDR testing was conducted on samples with VL ≥1000 copies/ml using Next Generation Sequencing. Weighted percentages of HIVDR are reported.

results697/1,105 (63%) of HIV positive samples were sequenced. HIVDR was detected in samples from 200 respondents (27.4% (95% confidence interval (CI) 22.8-32.6)). Among these 130 (18.9% (95% CI 14.8-23.8)), had resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs) only, 63 (7.8% (95% CI 5.6-10.9)) resistance to NNRTIs and nucleoside reverse transcriptase inhibitors, and 3 (0.5% (95% CI 0.1-2.1)) resistance to protease inhibitors. Sixty-five (55.7% (95% CI 42.6-67.9) of ARV-positive samples had HIVDR compared to 112 (22.8% (95% CI 17.7-28.7)), in ARV-negative samples. HIVDR was found in 75.6% (95% CI 59.2-87.3), n = 27, samples from respondents who reported ARV use but tested ARV-negative, and in 15.3% (95% CI 6.3-32.8), n = 7, respondents who reported no ARV use and tested ARV-negative. There were no significant age and sex differences in HIVDR.

conclusion27% of virally unsuppressed respondents had HIVDR, increasing to 75% among those who had discontinued ARV. Our findings support strengthening first-line ARV regimens by including drugs with a higher resistance barrier and treatment adherence strategies, and close monitoring of HIVDR.

Indexed as

Drug Resistance, ViralAdolescentAdultAge FactorsAnti-HIV AgentsChildChild, PreschoolCross-Sectional StudiesDried Blood Spot TestingDrug MonitoringFemaleHealth SurveysHIV-1HIV InfectionsHumansInfantAnti-HIV Agents

Identifiers

PMID33147285
PMCPMC7641411
OpenAlexW3094745666

What OpenQuestion holds

Textmetadata
LicenceCC0
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.