Evidence map›Paper›PMID 20405044›Full record

ArticlePloS one2010

HIV-1 subtype C-infected individuals maintaining high viral load as potential targets for the "test-and-treat" approach to reduce HIV transmission.

Vladimir Novitsky, Rui Wang, Hermann Bussmann, Shahin Lockman, Marianna Baum, Roger Shapiro, Ibou Thior, Carolyn Wester, C William Wester, Anthony Ogwu and 14 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 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Long-term non-progression and risk factors for disease progression among children living with HIV in Botswana and Uganda: A retrospective cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  8. Genome-wide association study reveals genetic variants associated with HIV-1C infection in a Botswana study population.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Addressing an HIV cure in LMIC.Retrovirology · 2021
    Review
  10. Article
  11. High HIV-1 RNA Among Newly Diagnosed People in Botswana.AIDS research and human retroviruses · 2018
    Article
  12. Article
  13. Rapid disease progression in HIV-1 subtype C-infected South African women.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Intra-host evolutionary rates in HIV-1C env and gag during primary infection.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2013
    Article
  20. Overview of the current state of the epidemic.Current HIV/AIDS reports · 2013
    Article
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

24 authors.

Vladimir NovitskyHarvard School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Rui Wang
Hermann Bussmann
Shahin Lockman
Marianna Baum
Roger Shapiro
Ibou Thior
Carolyn Wester
C William Wester
Anthony Ogwu
Aida Asmelash
Rosemary Musonda
Adriana Campa
Sikhulile Moyo
Erik van Widenfelt
Madisa Mine
Claire Moffat
Mompati Mmalane
Joseph Makhema
Richard Marlink
Peter Gilbert
George R Seage
Victor DeGruttola
M Essex

Funding

PREVENTION OF MILK-BORNE TRANSMISSION OF HIV IN BOTSWANAR01HD037793 · NICHD · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ESSEX, MYRON E · 2000 to 2004
$6.9M
HAART to Prevent HIV Transmission to Infants In BotswanaU01AI066454 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SHAPIRO, ROGER L · 2005 to 2010
$5.3M
HIV Disease, Drug Abuse, &Nutrient Therapy in BotswanaR01DA016551 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI BAUM, MARIANNA K · 2003 to 2007
$3.8M
Methods to Advance the HIV Prevention Research AgendaR37AI051164 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI DEGRUTTOLA, VICTOR GERARD · 2012 to 2019
$3.3M
Methods for Long-Term Follow-Up of HIV-Infected PatientsR01AI051164 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DEGRUTTOLA, VICTOR GERARD · 2002 to 2011
$3.0M
STATISTICAL METHODS IN AIDS RESEARCHR37AI024643 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 2001 to 2010
$2.8M
Markers of Viral Set Point in Primary HIV-1C InfectionR01AI057027 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI NOVITSKY, VLADIMIR A · 2005 to 2009
$2.2M
Maternal and Infant Health and HAART Outcomes in the Mashi PMTCT Study, BotswanaR01HD044391 · NICHD · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LOCKMAN, SHAHIN · 2003 to 2010
$1.9M
Cost-Effectiveness of HAART for HIV and AIDS in BotswanaR01AI052032 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI MARLINK, RICHARD GEORGE · 2003 to 2005
$1.4M
Risk Factors for the Development of Lactic Acidosis and Pancreatitis Among HAART-K23AI073141 · NIAID · VANDERBILT UNIVERSITY · PI WESTER, C. WILLIAM · 2007 to 2011
$643k
NIAID NIH HHS K23 AI073141NIAID NIH HHS R01 AI051164NIAID NIH HHS R01 AI052032NIAID NIH HHS R01 AI057027NIAID NIH HHS R37 AI024643NIAID NIH HHS R37 AI051164NIAID NIH HHS R37 AI24643NIAID NIH HHS U01 AI066454NICHD NIH HHS R01 HD037793NICHD NIH HHS R01 HD044391NICHD NIH HHS R01 HD37793NICHD NIH HHS R01 HD44391NIDA NIH HHS R01 DA016551
6 · The paper itself

Abstract

The first aim of the study is to assess the distribution of HIV-1 RNA levels in subtype C infection. Among 4,348 drug-naïve HIV-positive individuals participating in clinical studies in Botswana, the median baseline plasma HIV-1 RNA levels differed between the general population cohorts (4.1-4.2 log(10)) and cART-initiating cohorts (5.1-5.3 log(10)) by about one log(10). The proportion of individuals with high (> or = 50,000 (4.7 log(10)) copies/ml) HIV-1 RNA levels ranged from 24%-28% in the general HIV-positive population cohorts to 65%-83% in cART-initiating cohorts. The second aim is to estimate the proportion of individuals who maintain high HIV-1 RNA levels for an extended time and the duration of this period. For this analysis, we estimate the proportion of individuals who could be identified by repeated 6- vs. 12-month-interval HIV testing, as well as the potential reduction of HIV transmission time that can be achieved by testing and ARV treating. Longitudinal analysis of 42 seroconverters revealed that 33% (95% CI: 20%-50%) of individuals maintain high HIV-1 RNA levels for at least 180 days post seroconversion (p/s) and the median duration of high viral load period was 350 (269; 428) days p/s. We found that it would be possible to identify all HIV-infected individuals with viral load > or = 50,000 (4.7 log(10)) copies/ml using repeated six-month-interval HIV testing. Assuming individuals with high viral load initiate cART after being identified, the period of high transmissibility due to high viral load can potentially be reduced by 77% (95% CI: 71%-82%). Therefore, if HIV-infected individuals maintaining high levels of plasma HIV-1 RNA for extended period of time contribute disproportionally to HIV transmission, a modified "test-and-treat" strategy targeting such individuals by repeated HIV testing (followed by initiation of cART) might be a useful public health strategy for mitigating the HIV epidemic in some communities.

Indexed as

Viral LoadAnimalsBotswanaDemographyEpidemicsHIV-1HIV InfectionsHIV SeropositivityLongitudinal StudiesMass ScreeningRNA, ViralTime FactorsRNA, Viral

Identifiers

PMID20405044
PMCPMC2853582

What OpenQuestion holds

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Registered trials

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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.