Evidence map›Paper›PMID 39339940›Full record

ArticleViruses2024

A Comparison of Sanger Sequencing and Amplicon-Based Next Generation Sequencing Approaches for the Detection of HIV-1 Drug Resistance Mutations.

Camilla Biba, Lia Fiaschi, Ilenia Varasi, Chiara Paletti, Niccolò Bartolini, Maurizio Zazzi, Ilaria Vicenti, Francesco Saladini

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Camilla BibaDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
Lia FiaschiDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
Ilenia VarasiDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
Chiara PalettiDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0009-0004-1018-9545
Niccolò BartoliniDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-2314-1434
Maurizio ZazziDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0344-6281
Ilaria VicentiDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-4306-2960
Francesco SaladiniDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9934-377X

Funding

Ministero dell'Università e della Ricerca 202074AA2B
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) kits are needed to finalise the transition from Sanger sequencing to NGS in HIV-1 genotypic drug resistance testing. MATERIALS AND

methodsWe compared a homemade NGS amplicon-based protocol and the AD4SEQ HIV-1 Solution v2 (AD4SEQ) NGS kit from Arrow Diagnostics for identifying resistance-associated mutations (RAMs) above the 5% threshold in 28 plasma samples where Sanger sequencing previously detected at least one RAM.

resultsThe samples had a median 4.8 log [IQR 4.4-5.2] HIV-1 RNA copies/mL and were mostly subtype B (61%) and CRF02_AG (14%). Homemade NGS had a lower rate of samples with low-coverage regions (2/28) compared with AD4SEQ (13/28) (

conclusionsBoth the NGS systems identified additional mutations with respect to Sanger sequencing, and the agreement between them was fair. However, AD4SEQ should benefit from technical adjustments allowing higher sequence coverage.

Indexed as

Drug Resistance, ViralHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsMutationAdultAnti-HIV AgentsFemaleGenotypeHumansMaleMiddle AgedRNA, ViralAnti-HIV AgentsRNA, Viralantiretroviraldrug resistance mutationsHIV genotypeNGS

Identifiers

PMID39339940
PMCPMC11437444

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Registered trials

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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.