ArticleAIDS (London, England)2008
Transmission networks of drug resistance acquired in primary/early stage HIV infection.
Article in AIDS (London, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 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
69 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Defining HIV-1 transmission clusters based on sequence data.AIDS (London, England) · 2017Pooled it
- Burden of nonnucleoside reverse transcriptase inhibitor resistance in HIV-1-infected patients: a systematic review and meta-analysis.AIDS research and human retroviruses · 2014Pooled it
- Trial
- Trial
- Treatment Management Challenges in Naïve and Experienced HIV-1-Infected Individuals Carrying the M184V Mutation.Viruses · 2024Review
- Article
- Statewide Longitudinal Trends in Transmitted HIV-1 Drug Resistance in Rhode Island, USA.Open forum infectious diseases · 2022Article
- Using molecular transmission networks to understand the epidemic characteristics of HIV-1 CRF08_BC across China.Emerging microbes & infections · 2021Article
- Article
- A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing.Scientific reports · 2020Article
- HIV-1 Drug Resistance in ART-Naïve Individuals in Myanmar.Infection and drug resistance · 2020Article
- A Short-Term Assessment of Nascent HIV-1 Transmission Clusters Among Newly Diagnosed Individuals Using Envelope Sequence-Based Phylogenetic Analyses.AIDS research and human retroviruses · 2019Article
- HIV-1 molecular transmission clusters in nine European countries and Canada: association with demographic and clinical factors.BMC medicine · 2019Article
- A Network Intervention to Locate Newly HIV Infected Persons Within MSM Networks in Chicago.AIDS and behavior · 2019Article
- Assessing the role of transmission chains in the spread of HIV-1 among men who have sex with men in Quebec, Canada.PloS one · 2019Article
- Molecular Analysis of Human Immunodeficiency Virus Type 1 (HIV-1)-Infected Individuals in a Network-Based Intervention (Transmission Reduction Intervention Project): Phylogenetics Identify HIV-1-Infected Individuals With Social Links.The Journal of infectious diseases · 2018Article
- Genotypic and Phylogenetic Insights on Prevention of the Spread of HIV-1 and Drug Resistance in "Real-World" Settings.Viruses · 2017Review
- Article
- HIV-1 strains belonging to large phylogenetic clusters show accelerated escape from integrase inhibitors in cell culture compared with viral isolates from singleton/small clusters.The Journal of antimicrobial chemotherapy · 2017Article
- High Rates of Transmission of Drug-resistant HIV in Aruba Resulting in Reduced Susceptibility to the WHO Recommended First-line Regimen in Nearly Half of Newly Diagnosed HIV-infected Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesPopulation-based sequencing of primary/recent HIV infections (PHIs) can provide a framework for understanding transmission dynamics of local epidemics. In Quebec, half of PHIs represent clustered transmission events. This study ascertained the cumulative implications of clustering on onward transmission of drug resistance.
methodsHIV-1 pol sequence datasets were available for all genotyped PHI (<6 months postseroconversion; n = 848 subtype B infections, 1997-2007). Phylogenetic analysis established clustered transmission events, based on maximum likelihood topologies having high bootstrap values (>98%) and short genetic distances. The distributions of resistance to nucleoside and nonnucleoside reverse transcriptase inhibitors and protease inhibitors in unique and clustered transmissions were ascertained.
resultsEpisodic clustering was observed in half of recent/early stage infections from 1997-2008. Overall, 29 and 28% of new infections segregated into small (<5 PHI/cluster, n = 242/848) and large transmission chains (> or =5 PHI/cluster, n = 239/848), averaging 2.8 +/- 0.1 and 10.3 +/- 1.0 PHI/cluster, respectively. The transmission of nucleoside analogue mutations and 215 resistant variants (T215C/D/I/F/N/S/Y) declined with clustering (7.9 vs. 3.4 vs. 1.2 and 5.8 vs. 1.7 vs. 1.1% for unique, small, and large clustered transmissions, respectively). In contrast, clustering was associated with the increased transmission of viruses harbouring resistance to nonnucleoside reverse transcriptase inhibitors (6.6 vs. 6.0 vs. 15.5%, respectively).
conclusionClustering in early/PHI stage infection differentially affects transmission of drug resistance to different drug classes. Public health, prevention and diagnostic strategies, targeting PHI, afford a unique opportunity to curb the spread of transmitted drug resistance.
Indexed as
Identifiers
What 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.