Evidence map›Paper›PMID 28968834›Full record

ArticleThe Journal of infectious diseases2017

Next-Generation Human Immunodeficiency Virus Sequencing for Patient Management and Drug Resistance Surveillance.

Marc Noguera-Julian, Dianna Edgil, P Richard Harrigan, Paul Sandstrom, Catherine Godfrey, Roger Paredes

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  3. Full-spectrum HIV drug resistance mutation detection by high-resolution complete pol gene sequencing.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 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.

Marc Noguera-JulianIrsiCaixa AIDS Research Institute.
Dianna EdgilUnited States Agency for International Development.
P Richard HarriganBritish Columbia Centre for Excellence in HIV/AIDS, University of British Columbia.
Paul SandstromNational HIV and Retrovirology Laboratory, JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Canada.
Catherine GodfreyDivision of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health.
Roger ParedesIrsiCaixa AIDS Research Institute.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-quality, simplified, and low-cost human immunodeficiency virus (HIV) drug resistance tests that are able to provide timely actionable HIV resistance data at individual, population, and programmatic levels are needed to confront the emerging drug-resistant HIV epidemic. Next-generation sequencing technologies embedded in automated cloud-computing analysis environments are ideally suited for such endeavor. Whereas NGS can reduce costs over Sanger sequencing, automated analysis pipelines make NGS accessible to molecular laboratories regardless of the available bioinformatic skills. They can also produce highly structured, high-quality data that could be examined by healthcare officials and program managers on a real-time basis to allow timely public health action. Here we discuss the opportunities and challenges of such an approach.

Indexed as

Anti-HIV AgentsCloud ComputingDrug Resistance, ViralHigh-Throughput Nucleotide SequencingHIVHIV InfectionsHumansAnti-HIV AgentsbioinformaticsHIV resistanceNGSpublic healthsurveillance

Identifiers

PMID28968834
PMCPMC5853595

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.