Evidence map›Paper›PMID 31382033›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

Prospective Evaluation of the Vela Diagnostics Next-Generation Sequencing Platform for HIV-1 Genotypic Resistance Testing.

Jenna Weber, Ilona Volkova, Malaya K Sahoo, Philip L Tzou, Robert W Shafer, Benjamin A Pinsky

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Practical updates in clinical antiviral resistance testing.Journal of clinical microbiology · 2024
    Review
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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 2 institutions in 1 country.

Jenna WeberDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Ilona VolkovaClinical Virology Laboratory, Stanford Health Care, Stanford, California.
Malaya K SahooDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Philip L TzouDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Robert W ShaferDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, California; Clinical Virology Laboratory, Stanford Health Care, Stanford, California; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California. Electronic address: bpinsky@stanford.edu.
Stanford University · USStanford Health Care · US

Funding

HIV Resistance Testing Using Point-of-Care Dynamic Solid-Phase Melt AnalysisR21AI131918 · NIAID · STANFORD UNIVERSITY · PI SHAFER, ROBERT WILLIAM · 2018 to 2019
$432k
6 · The paper itself

Abstract

Genotypic antiretroviral drug resistance testing is a critical component of the global efforts to control the HIV-1 epidemic. This study investigates the semiautomated, next-generation sequencing (NGS)-based Vela Diagnostics Sentosa SQ HIV-1 Genotyping Assay in a prospective cohort of HIV-1-infected patients. Two-hundred sixty-nine samples were successfully sequenced by both NGS and Sanger sequencing. Among the 261 protease/reverse transcriptase (PR/RT) sequences, a mean of 0.37 drug resistance mutations were identified by both Sanger and NGS, 0.08 by NGS alone, and 0.03 by Sanger alone. Among the 50 integrase sequences, a mean of 0.3 drug resistance mutations were detected by both Sanger and NGS, and 0.08 by NGS alone. NGS estimated higher levels of drug resistance to one or more antiretroviral drugs for 6.5% of PR/RT sequences and 4.0% of integrase sequences, whereas Sanger estimated higher levels of drug resistance for 3.8% of PR/RT sequences. Although the samples successfully sequenced by the Sentosa SQ HIV Genotyping Assay demonstrated similar predicted resistance compared with Sanger, 44% of Sentosa runs failed quality control requiring 17 additional runs. This semi-automated NGS-based assay may aid in HIV-1 genotypic drug resistance testing, though numerous quality control issues were observed when this platform was used in a clinical laboratory setting. With additional refinement, the Sentosa SQ HIV-1 Genotyping Assay may contribute to the global efforts to control HIV-1.

Indexed as

Anti-HIV AgentsAPOBEC DeaminasesDrug Resistance, ViralGenotyping TechniquesHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansMutationViral LoadAnti-HIV AgentsAPOBEC DeaminasesHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1

Identifiers

PMID31382033
PMCPMC7152740
OpenAlexW2964526811

What OpenQuestion holds

Textmetadata
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.