ReviewCurrent opinion in HIV and AIDS2018
Modeling HIV persistence and cure studies.
Review in Current opinion in HIV and AIDS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Clinical trial simulation of antiviral drugs.Journal of virology · 2026Review
- A mathematical study on the drug resistant virus emergence with HIV/AIDS treatment cases.Heliyon · 2021Article
- Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection.PLoS computational biology · 2020Article
- Insight into treatment of HIV infection from viral dynamics models.Immunological reviews · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
purpose of reviewTo provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy. RECENT
findingsAlthough HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evidence points toward the latter mechanism. The latent reservoir is maintained by a balance of cell death, proliferation, and reactivation, and new methods to estimate the relative contributions of these rates use a wide range of experimental data. This has led to new quantitative predictions about the potential benefit of therapies such as latency-reversing agents or antiproliferative drugs. SUMMARY: Results of these mathematical modeling studies can be used to design and interpret future trials of new therapies targeting HIV persistence.
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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.