Evidence map›Paper›PMID 24302983›Full record

ArticlePloS one2013

A stochastic multi-scale model of HIV-1 transmission for decision-making: application to a MSM population.

Lilit Yeghiazarian, William G Cumberland, Otto O Yang

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational modeling of heterogeneity and function of CD4+ T cells.Frontiers in cell and developmental biology · 2014
    Review
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

3 authors.

Lilit YeghiazarianDepartment of Biomedical, Chemical & Environmental Engineering, University of Cincinnati, Cincinnati, Ohio, United States of America.
William G Cumberland
Otto O Yang

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MITSUYASU, RONALD T. · 1991 to 2018
$39.9M
HIV-1 Excape from Inhibiton by Cytotoxic T LymphocytesR01AI043203 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, OTTO O · 1998 to 2012
$4.6M
BIOSTATISTICS TRAINING FOR AIDS RESEARCHT32AI007370 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WEISS, ROBERT ERIN · 1990 to 2014
$3.0M
NIAID NIH HHS AI043203NIAID NIH HHS P30 AI028697NIAID NIH HHS R01 AI043203NIAID NIH HHS T32 AI007370
6 · The paper itself

Abstract

backgroundIn the absence of an effective vaccine against HIV-1, the scientific community is presented with the challenge of developing alternative methods to curb its spread. Due to the complexity of the disease, however, our ability to predict the impact of various prevention and treatment strategies is limited. While ART has been widely accepted as the gold standard of modern care, its timing is debated.

objectivesTo evaluate the impact of medical interventions at the level of individuals on the spread of infection across the whole population. Specifically, we investigate the impact of ART initiation timing on HIV-1 spread in an MSM (Men who have Sex with Men) population. DESIGN AND

methodsA stochastic multi-scale model of HIV-1 transmission that integrates within a single framework the in-host cellular dynamics and their outcomes, patient health states, and sexual contact networks. The model captures disease state and progression within individuals, and allows for simulation of therapeutic strategies.

resultsEarly ART initiation may substantially affect disease spread through a population.

conclusionsOur model provides a multi-scale, systems-based approach to evaluate the broader implications of therapeutic strategies.

Indexed as

Decision MakingHIV-1Models, TheoreticalDisease ProgressionHealth Status IndicatorsHIV InfectionsHumansMaleRisk FactorsSexual Behavior

Identifiers

PMID24302983
PMCPMC3841178

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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.