Trial reportThe Journal of infectious diseases2009
Low-abundance drug-resistant viral variants in chronically HIV-infected, antiretroviral treatment-naive patients significantly impact treatment outcomes.
Trial report in The Journal of infectious diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
223 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Low-Abundance Drug-Resistant HIV-1 Variants in Antiretroviral Drug-Naive Individuals: A Systematic Review of Detection Methods, Prevalence, and Clinical Impact.The Journal of infectious diseases · 2020Pooled it
- Pooled it
- Trial
- Two-way mobile phone intervention compared with standard-of-care adherence support after second-line antiretroviral therapy failure: a multinational, randomised controlled trial.The Lancet. Digital health · 2019Trial
- Trial
- Global HIV-1 transmitted drug resistance in the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial.HIV medicine · 2015Trial
- Concordance between allele-specific PCR and ultra-deep pyrosequencing for the detection of HIV-1 non-nucleoside reverse transcriptase inhibitor resistance mutations.Journal of virological methods · 2014Trial
- Short-course Combivir after single-dose nevirapine reduces but does not eliminate the emergence of nevirapine resistance in women.Antiviral therapy · 2012Trial
- Slower clearance of nevirapine resistant virus in infants failing extended nevirapine prophylaxis for prevention of mother-to-child HIV transmission.AIDS research and human retroviruses · 2011Trial
- Analysis of low-frequency mutations associated with drug resistance to raltegravir before antiretroviral treatment.Antimicrobial agents and chemotherapy · 2011Trial
- Reappearance of minority K103N HIV-1 variants after interruption of ART initiated during primary HIV-1 infection.PloS one · 2011Trial
- Trial
- Article
- Comprehensive mapping of the virus and host factors that guide the paths of HIV-1 escape from a therapeutic.Cell reports · 2026Article
- Ion Torrent Genexus as a Fast and Reliable Solution for HIV-1 Drug Resistance Testing: Comparison with the GeneStudio S5 Workflow.International journal of molecular sciences · 2026Article
- Advancing Precision Public Health: an implementation science framework for HIV Cluster Detection and Response driven by molecular epidemiology.Frontiers in public health · 2026Article
- Comprehensive Mapping of the Virus and Host Factors that Guide the Paths of HIV-1 Escape from a Therapeutic.bioRxiv : the preprint server for biology · 2025Article
- A novel, covalent broad-spectrum inhibitor targeting human coronavirus MNature communications · 2025Article
- A bibliometric analysis of HIV-1 drug-resistant minority variants from 1999 to 2024.AIDS research and therapy · 2025Article
163 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
15 authors.
Funding
Abstract
backgroundMinor (i.e., <20% prevalence) drug-resistant human immunodeficiency virus (HIV) variants may go undetected, yet be clinically important.
objectivesTo compare the prevalence of drug-resistant variants detected with standard and ultra-deep sequencing (detection down to 1% prevalence) and to determine the impact of minor resistant variants on virologic failure (VF).
methodsThe Flexible Initial Retrovirus Suppressive Therapies (FIRST) Study (N = 1397) compared 3 initial antiretroviral therapy (ART) strategies. A random subset (n = 491) had baseline testing for drug-resistance mutations performed by use of standard sequencing methods. Ultra-deep sequencing was performed on samples that had sufficient viral content (N = 264). Proportional hazards models were used to compare rates of VF for those who did and did not have mutations identified.
resultsMutations were detected by standard and ultra-deep sequencing (in 14% and 28% of participants, respectively; P < .001). Among individuals who initiated treatment with an ART regimen that combined nucleoside and nonnucleoside reverse-transcriptase inhibitors (hereafter, "NNRTI strategy"), all individuals who had an NNRTI-resistance mutation identified by ultra-deep sequencing experienced VF. When these individuals were compared with individuals who initiated treatment with the NNRTI strategy but who had no NNRTI-resistance mutations, the risk of VF was higher for those who had an NNRTI-resistance mutation detected by both methods (hazard ratio [HR], 12.40 [95% confidence interval {CI}, 3.41-45.10]) and those who had mutation(s) detected only with ultra-deep sequencing (HR, 2.50 [95% CI, 1.17-5.36]).
conclusionsUltra-deep sequencing identified a significantly larger proportion of HIV-infected, treatment-naive persons as harboring drug-resistant viral variants. Among participants who initiated treatment with the NNRTI strategy, the risk of VF was significantly greater for participants who had low- and high-prevalence NNRTI-resistant variants.
Indexed as
Identifiers
19210162What OpenQuestion holds
Registered trials
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.