Evidence map›Paper›PMID 36298763›Full record

ArticleViruses2022

Towards Next-Generation Sequencing for HIV-1 Drug Resistance Testing in a Clinical Setting.

Calesta Hui Yi Teo, Nurul Hannah Binte Norhisham, Ogestelli Fabia Lee, Siyu Png, Chean Nee Chai, Gabriel Yan, Julian Wei-Tze Tang, Chun Kiat Lee

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 25 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

8 authors at 4 institutions in 2 countries.

Calesta Hui Yi TeoYong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Nurul Hannah Binte NorhishamSchool of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore 599490, Singapore.
Ogestelli Fabia LeeSchool of Life and Physical Sciences, PSB Academy, Singapore 039594, Singapore.
Siyu PngDepartment of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.
Chean Nee ChaiDepartment of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.
Gabriel YanDepartment of Medicine, National University Health System, Singapore 119228, Singapore.
Julian Wei-Tze TangRespiratory Sciences, University of Leicester, Leicester LE1 7RH, UK.
Chun Kiat LeeDepartment of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.ORCID 0000-0002-6065-0000
National University Health System · SGNanyang Technological University · SGNational University of Singapore · SGUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HIV genotypic resistance test (GRT) is a standard of care for the clinical management of HIV/AIDS patients. In recent decades, population or Sanger sequencing has been the foundation for drug resistance monitoring in clinical settings. However, the advent of high-throughput or next-generation sequencing has caused a paradigm shift towards the detection and characterization of low-abundance covert mutations that would otherwise be missed by population sequencing. This is clinically significant, as these mutations can potentially compromise the efficacy of antiretroviral therapy, causing poor virologic suppression. Therefore, it is important to develop a more sensitive method so as to reliably detect clinically actionable drug-resistant mutations (DRMs). Here, we evaluated the diagnostic performance of a laboratory-developed, high-throughput, sequencing-based GRT using 103 archived clinical samples that were previously tested for drug resistance using population sequencing. As expected, high-throughput sequencing found all the DRMs that were detectable by population sequencing. Significantly, 78 additional DRMs were identified only by high-throughput sequencing, which is statistically significant based on McNemar's test. Overall, our results complement previous studies, supporting the notion that the two methods are well correlated, and the high-throughput sequencing method appears to be an excellent alternative for drug resistance testing in a clinical setting.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsHIV SeropositivityDrug Resistance, ViralGenotypeHigh-Throughput Nucleotide SequencingHumansMutationAnti-HIV Agentsdrug resistancegenotypic resistance testinghigh-throughput sequencingHIV-1next-generation sequencingpopulation sequencingSanger

Identifiers

PMID36298763
PMCPMC9608942
OpenAlexW4304789031

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.