Evidence map›Paper›PMID 29207001›Full record

ReviewThe Journal of infectious diseases2017

The Role of HIV-1 Drug-Resistant Minority Variants in Treatment Failure.

Natalia Stella-Ascariz, José Ramón Arribas, Roger Paredes, Jonathan Z Li

Open access · bronzeAbstract readReview
In one paragraph

Review 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 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  10. Practical updates in clinical antiviral resistance testing.Journal of clinical microbiology · 2024
    Review
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  15. 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
    Article
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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

4 authors at 3 institutions in 2 countries.

Natalia Stella-AscarizMicrobiology Service, Internal Medicine Service, Hospital Universitario La Paz-IdiPAZ.
José Ramón ArribasHIV Unit, Internal Medicine Service, Hospital Universitario La Paz-IdiPAZ.
Roger ParedesHIV Unit and irsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona and Universitat de Vic-UCC, Spain.
Jonathan Z LiDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School.
Hospital Universitario La Paz · ESHarvard University · USHospital Universitari Germans Trias i Pujol · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus type 1 (HIV-1) drug resistance genotyping is recommended to help in the selection of antiretroviral therapy and to prevent virologic failure. There are several ultrasensitive assays able to detect HIV-1 drug-resistance minority variants (DRMVs) not detectable by standard population sequencing-based HIV genotyping assays. Presence of these DRMVs has been shown to be clinically relevant, but its impact does not appear to be uniform across drug classes. In this review, we summarize key evidence for the clinical impact of DRMVs across drug classes for both antiretroviral treatment-naive and antiretroviral treatment-experienced patients, and highlight areas where more supporting evidence is needed.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralHIV-1HIV InfectionsHumansTreatment FailureAnti-HIV Agentsdrug resistant minority variantsHIV-1 drug resistancetreatment failure

Identifiers

PMID29207001
PMCPMC5853963
OpenAlexW2774431833

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.