Evidence map›Paper›PMID 20634893›Full record

ArticlePloS one2010

Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time.

Dineke Frentz, Charles A B Boucher, Matthias Assel, Andrea De Luca, Massimiliano Fabbiani, Francesca Incardona, Pieter Libin, Nino Manca, Viktor Müller, Breanndán O Nualláin and 10 more

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

32 citing papers in PubMed.

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  6. Human Immunodeficiency Virus Drug Resistance: 2018 Recommendations of the International Antiviral Society-USA Panel.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
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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

20 authors.

Dineke FrentzVirology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Charles A B Boucher
Matthias Assel
Andrea De Luca
Massimiliano Fabbiani
Francesca Incardona
Pieter Libin
Nino Manca
Viktor Müller
Breanndán O Nualláin
Roger Paredes
Mattia Prosperi
Eugenia Quiros-Roldan
Lidia Ruiz
Peter M A Sloot
Carlo Torti
Anne-Mieke Vandamme
Kristel Van Laethem
Maurizio Zazzi
David A M C van de Vijver

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford's HIVdb) to predict virological outcome at 12, 24, and 48 weeks. METHODOLOGY/PRINCIPAL

findingsIncluded were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was available at the time of changing treatment with at least one follow-up viral load measurement. Genotypic susceptibility scores for the active regimens were calculated using scores defined by each interpretation system. Using logistic regression, we determined the association between the genotypic susceptibility score and proportion of TCEs having an undetectable viral load (<50 copies/ml) at 12 (8-16) weeks (2152 TCEs), 24 (16-32) weeks (2570 TCEs), and 48 (44-52) weeks (1083 TCEs). The Area under the ROC curve was calculated using a 10-fold cross-validation to compare the different interpretation systems regarding the sensitivity and specificity for predicting undetectable viral load. The mean genotypic susceptibility score of the systems was slightly smaller for HIVdb, with 1.92+/-1.17, compared to Rega and ANRS, with 2.22+/-1.09 and 2.23+/-1.05, respectively. However, similar odds ratio's were found for the association between each-unit increase in genotypic susceptibility score and undetectable viral load at week 12; 1.6 [95% confidence interval 1.5-1.7] for HIVdb, 1.7 [1.5-1.8] for ANRS, and 1.7 [1.9-1.6] for Rega. Odds ratio's increased over time, but remained comparable (odds ratio's ranging between 1.9-2.1 at 24 weeks and 1.9-2.2 at 48 weeks). The Area under the curve of the ROC did not differ between the systems at all time points; p = 0.60 at week 12, p = 0.71 at week 24, and p = 0.97 at week 48. CONCLUSIONS/SIGNIFICANCE: Three commonly used HIV drug resistance interpretation systems ANRS, Rega and HIVdb predict virological response at 12, 24, and 48 weeks, after change of treatment to the same extent.

Indexed as

AdolescentAdultAgedAnti-HIV AgentsDrug Resistance, ViralFemaleGenotypeHIV-1HIV InfectionsHumansLogistic ModelsMaleMiddle AgedROC CurveViral LoadYoung AdultAnti-HIV Agents

Identifiers

PMID20634893
PMCPMC2901338

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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.