Evidence map›Paper›PMID 29112042›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2018

Network Viral Load: A Critical Metric for HIV Elimination.

Britt Skaathun, Aditya S Khanna, Ethan Morgan, Samuel R Friedman, John A Schneider

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. HIV-2: still off the radar for India's 90-90-90 targets.The Indian journal of medical research · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

5 authors at 3 institutions in 2 countries.

Britt Skaathun
Aditya S KhannaMedicine, University of Chicago, Chicago, IL.
Ethan Morgan
Samuel R FriedmanInstitute for Infectious Disease Research, National Development and Research Institutes, New York, NY.
John A SchneiderMedicine, University of Chicago, Chicago, IL.
Faculty of Public Health · GBUniversity of Chicago · USNational Development and Research Institutes · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan, Courtney McKnight · 1998 to 2026
$38.9M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
The University of Chicago and Northwestern University Predoctoral Health Services Research Program-RenewalT32HS000084 · AHRQ · UNIVERSITY OF CHICAGO · PI KONETZKA, RITA TAMARA, MELTZER, DAVID O · 1998 to 2024
$7.6M
HIV intervention models for criminal justice involved substance-using Black MSMR01DA039934 · NIDA · UNIVERSITY OF CHICAGO · PI FUJIMOTO, KAYO, HARAWA, NINA THAWATA · 2015 to 2019
$3.6M
Social Network Dynamics, HIV, and Risk Reduction Among Younger Black MSMR01DA033875 · NIDA · NATIONAL OPINION RESEARCH CENTER · PI SCHNEIDER, JOHN · 2012 to 2016
$3.0M
AHRQ HHS F32 HS000084AHRQ HHS T32 HS000084NIAID NIH HHS T32 AI007384NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA033875NIDA NIH HHS R01 DA039934
6 · The paper itself

Abstract

backgroundAssociations have been observed between an aggregate viral load measure, the community viral load, and new HIV diagnoses. The community viral load aggregates viral loads within chosen geographic areas, restricting inferences about HIV acquisition risk to these areas. We develop a more precise metric, the network viral load (NVL), to measure the composite viral load within a risk network of a HIV-negative individual.

methodsWe examined the relationship between NVL and HIV infection among young men who have sex with men in Chicago, United States. Networks were generated using respondent-driven sampling. NVL was defined as the prevalence of viremic individuals in one's risk network, characterized as those with a viral load ≥20 k copies per milliliter. Permutation tests were conducted to account for dependency.

resultsAfter controlling for total connections, age, substance use during sex, syphilis diagnosis (previous 12 months), and frequency of condomless anal sex (previous 6 months), we found a positive association between NVL and HIV infection. Compared with a network with all HIV-seronegative members, the odds of HIV infection with an NVL of <10% viremia were 1.85 (95% confidence interval: 1.18 to 2.92) times higher and those with an NVL of ≥10% viremia were 2.73 (95% confidence interval: 1.54 to 4.85) times higher.

conclusionsWe found a positive association between NVL and HIV seroprevalence. Although limited in its ability to infer causality, NVL could have substantial public health implications for persons most at risk for HIV infection, given that this novel metric avoids overreliance on individual level behavior or broad community indices.

Indexed as

Disease Transmission, InfectiousHomosexuality, MaleViral LoadAdolescentAdultChicagoHIV InfectionsHIV SeroprevalenceHumansIncidenceLongitudinal StudiesMaleRisk AssessmentYoung Adult

Identifiers

PMID29112042
PMCPMC5762423
OpenAlexW2767546600

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.