Evidence map›Paper›PMID 34208165›Full record

ArticleViruses2021

HIV-1 Drug Resistance Genotyping in Resource Limited Settings: Current and Future Perspectives in Sequencing Technologies.

Sontaga Manyana, Lilishia Gounder, Melendhran Pillay, Justen Manasa, Kogieleum Naidoo, Benjamin Chimukangara

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  15. Roadmap for Achieving Universal Antiretroviral Treatment.Annual review of pharmacology and toxicology · 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

6 authors at 3 institutions in 2 countries.

Sontaga ManyanaNational Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa.ORCID 0000-0002-0680-7337
Lilishia GounderNational Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa.ORCID 0000-0003-1060-9170
Melendhran PillayNational Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa.
Justen ManasaDepartment of Laboratory Medicine and Investigative Sciences, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe.ORCID 0000-0002-8874-907X
Kogieleum NaidooCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban 4013, South Africa.
Benjamin ChimukangaraNational Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa.
National Health Laboratory Service · ZASouth African Medical Research Council · ZAUniversity of Zimbabwe · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affordable, sensitive, and scalable technologies are needed for monitoring antiretroviral treatment (ART) success with the goal of eradicating HIV-1 infection. This review discusses use of Sanger sequencing and next generation sequencing (NGS) methods for HIV-1 drug resistance (HIVDR) genotyping, focusing on their use in resource limited settings (RLS). Sanger sequencing remains the gold-standard method for detecting HIVDR mutations of clinical relevance but is mainly limited by high sequencing costs and low-throughput. NGS is becoming a more common sequencing method, with the ability to detect low-abundance drug-resistant variants and reduce per sample costs through sample pooling and massive parallel sequencing. However, use of NGS in RLS is mainly limited by infrastructure costs. Given these shortcomings, our review discusses sequencing technologies for HIVDR genotyping, focusing on common in-house and commercial assays, challenges with Sanger sequencing in keeping up with changes in HIV-1 treatment programs, as well as challenges with NGS that limit its implementation in RLS and in clinical diagnostics. We further discuss knowledge gaps and offer recommendations on how to overcome existing barriers for implementing HIVDR genotyping in RLS, to make informed clinical decisions that improve quality of life for people living with HIV.

Indexed as

Drug Resistance, ViralGenotypeAnti-HIV AgentsGenotyping TechniquesHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansMutationAnti-HIV AgentsHIV-1 drug resistancenext generation sequencingresource limited settingsSanger sequencing

Identifiers

PMID34208165
PMCPMC8230827
OpenAlexW3168063149

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.