Evidence map›Paper›PMID 36445146›Full record

ArticleMicrobiology spectrum2022

Added Value of Next Generation over Sanger Sequencing in Kenyan Youth with Extensive HIV-1 Drug Resistance.

V Novitsky, W Nyandiko, R Vreeman, A K DeLong, A Manne, M Scanlon, A Ngeresa, J Aluoch, F Sang, C Ashimosi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 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

15 authors at 4 institutions in 2 countries.

V NovitskyBrown University, Providence, Rhode Island, USA.
W NyandikoAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
R VreemanAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
A K DeLongBrown University, Providence, Rhode Island, USA.
A ManneBrown University, Providence, Rhode Island, USA.
M ScanlonIcahn School of Medicine at Mount Sinai, New York, New York, USA.
A NgeresaAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
J AluochAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
F SangAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
C AshimosiAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
E JepkemboiAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
M OridoAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
J W HoganBrown University, Providence, Rhode Island, USA.
R KantorBrown University, Providence, Rhode Island, USA.ORCID 0000-0003-3659-1108
RESistance in a PEdiatric CohorT (RESPECT) Study
AMPATH · KEBrown University · USIcahn School of Medicine at Mount Sinai · USMoi University · KE

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
HIV Treatment Failure and Drug Resistance in Western Kenyan ChildrenR01AI120792 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI KANTOR, RAMI, VREEMAN, RACHEL CHRISTINE · 2016 to 2019
$2.9M
HIV Drug Resistance, Monitoring and TransmissionK24AI134359 · NIAID · MIRIAM HOSPITAL · PI Rami Kantor · 2018 to 2026
$1.3M
HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) K24AI134359HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) P30AI042853HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI120792
6 · The paper itself

Abstract

HIV-1 drug resistance testing in children and adolescents in low-resource settings is both important and challenging. New (more sensitive) drug resistance testing technologies may improve clinical care, but evaluation of their added value is limited. We assessed the potential added value of using next-generation sequencing (NGS) over Sanger sequencing for detecting nucleoside reverse transcriptase inhibitor (NRTI) and nonnucleoside reverse transcriptase inhibitor (NNRTI) drug resistance mutations (DRMs). Participants included 132 treatment-experienced Kenyan children and adolescents with diverse HIV-1 subtypes and with already high levels of drug resistance detected by Sanger sequencing. We examined overall and DRM-specific resistance and its predicted impact on antiretroviral therapy and evaluated the discrepancy between Sanger sequencing and six NGS thresholds (1%, 2%, 5%, 10%, 15%, and 20%). Depending on the NGS threshold, agreement between the two technologies was 62% to 88% for any DRM, 83% to 92% for NRTI DRMs, and 73% to 94% for NNRTI DRMs, with more DRMs detected at low NGS thresholds. NGS identified 96% to 100% of DRMs detected by Sanger sequencing, while Sanger identified 83% to 99% of DRMs detected by NGS. Higher discrepancy between technologies was associated with higher DRM prevalence. Even in this resistance-saturated cohort, 12% of participants had higher, potentially clinically relevant predicted resistance detected only by NGS. These findings, in a young, vulnerable Kenyan population with diverse HIV-1 subtypes and already high resistance levels, suggest potential benefits of more sensitive NGS over existing technology. Good agreement between technologies at high NGS thresholds supports their interchangeable use; however, the significance of DRMs identified at lower thresholds to patient care should be explored further.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsAdolescentChildDrug Resistance, ViralGenotypeHigh-Throughput Nucleotide SequencingHumansKenyaMutationReverse Transcriptase InhibitorsViral LoadAnti-HIV AgentsReverse Transcriptase Inhibitorsdrug resistance testingHIV-1next-generation sequencingSanger sequencing

Identifiers

PMID36445146
PMCPMC9769539
OpenAlexW4310456525

What OpenQuestion holds

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LicenceCC BY
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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.