Evidence map›Paper›PMID 21508012›Full record

ArticleJournal of the Royal Society, Interface2011

Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure.

H L Mills, T Cohen, C Colijn

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. How host heterogeneity governs tuberculosis reinfection?Proceedings. Biological sciences · 2012
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. How can mathematical models advance tuberculosis control in high HIV prevalence settings?The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2014
    Review
  10. Sampling Networks from Their Posterior Predictive Distribution.Network science (Cambridge University Press) · 2014
    Article
  11. Data needs for evidence-based decisions: a tuberculosis modeler's 'wish list'.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2013
    Review
  12. 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 at 2 institutions in 2 countries.

H L MillsBristol Centre for Complexity Sciences, University of Bristol, Bristol, UK. harriet.l.mills@gmail.com
T Cohen
C Colijn
University of Bristol · GBCenter for Disease Dynamics, Economics & Policy · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
An HIV Prevention Program for Mochudi, BotswanaR01AI083036 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI ESSEX, MYRON E · 2009 to 2012
$3.5M
Prevalence, risk factors and consequences of complex M. Tuberculosis infectionsDP2OD006663 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI COHEN, THEODORE H · 2010 to 2010
$2.7M
NIAID NIH HHS R01 AI083036NIGMS NIH HHS U54 GM088558NIH HHS DP2 OD006663
6 · The paper itself

Abstract

Individuals living with HIV experience a much higher risk of progression from latent M. tuberculosis infection to active tuberculosis (TB) disease relative to individuals with intact immune systems. A several-month daily course of a single drug during latent infection (i.e. isoniazid preventive therapy (IPT)) has proved in clinical trials to substantially reduce an HIV-infected individual's risk of TB disease. As a result of these findings and ongoing studies, the World Health Organization has produced strong guidelines for implementing IPT on a community-wide scale for individuals with HIV at risk of TB disease. To date, there has been limited use of IPT at a community-wide level. In this paper, we present a new co-network model for HIV and TB co-epidemics to address questions about how the population-level impact of community-wide IPT may differ from the individual-level impact of IPT offered to selected individuals. In particular, we examine how the effect of clustering of contacts within high-TB incidence communities may affect the rates of re-infection with TB and how this clustering modifies the expected population-level effects of IPT. We find that populations with clustering of respiratory contacts experience aggregation of TB cases and high numbers of re-infection events. While, encouragingly, the overall population-level effects of community-wide IPT appear to be sustained regardless of network structure, we find that in populations where these contacts are highly clustered, there is dramatic heterogeneity in the impact of IPT: in some sub-regions of these populations, TB is nearly eliminated, while in others, repeated re-infection almost completely undermines the effect of IPT. Our findings imply that as IPT programmes are brought to scale, we should expect local heterogeneity of effectiveness as a result of the complex patterns of disease transmission within communities.

Indexed as

Models, BiologicalAfrica South of the SaharaAntitubercular AgentsComputer SimulationContact TracingEndemic DiseasesHIV InfectionsHumansIsoniazidTime FactorsTuberculosisAntitubercular AgentsIsoniazid

Identifiers

PMID21508012
PMCPMC3163428
OpenAlexW2113898072

What OpenQuestion holds

Textmetadata
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.