Evidence map›Paper›PMID 29472018›Full record

ArticleThe Lancet. Global health2018

Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study.

Florian M Marx, Reza Yaesoubi, Nicolas A Menzies, Joshua A Salomon, Alyssa Bilinski, Nulda Beyers, Ted Cohen

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. A Point-of-Care Prediction Tool for Recurrent Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Diagnosing Tuberculosis: What Do New Technologies Allow Us to (Not) Do?Respiration; international review of thoracic diseases · 2022
    Review
  14. Article
  15. High Rates of Recurrent Tuberculosis Disease: A Population-level Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Closing gaps in the tuberculosis care cascade: an action-oriented research agenda.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
    Review
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Florian M MarxDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Division of Global Health Equity, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. Electronic address: fmarx@sun.ac.za.
Reza YaesoubiDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
Nicolas A MenziesDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Joshua A SalomonDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Alyssa BilinskiInterfaculty Initiative in Health Policy, Harvard University, Cambridge, MA, USA.
Nulda BeyersDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Harvard Global Health Institute · USYale University · USDesmond Tutu HIV Foundation · ZAHarvard University Press · US

Funding

PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
HEALTH POLICY TRAINING PROGRAMT32HS000055 · AHRQ · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CUTLER, DAVID M · 1994 to 2024
$7.1M
Evaluating health and economic effects of targeted strategies in TB/HIVR01AI112438 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2014 to 2017
$2.4M
Improving the control of multidrug-resistant tuberculosis through targeted screening and use of novel anti-tuberculosis drugsK01AI119603 · NIAID · YALE UNIVERSITY · PI YAESOUBI, REZA · 2016 to 2019
$518k
NIAID NIH HHS K01 AI119603NIAID NIH HHS R01 AI112438NIAID NIH HHS T32 AI007433
6 · The paper itself

Abstract

backgroundIn high-incidence settings, recurrent disease among previously treated individuals contributes substantially to the burden of incident and prevalent tuberculosis. The extent to which interventions targeted to this high-risk group can improve tuberculosis control has not been established. We aimed to project the population-level effect of control interventions targeted to individuals with a history of previous tuberculosis treatment in a high-incidence setting.

methodsWe developed a transmission-dynamic model of tuberculosis and HIV in a high-incidence setting with a population of roughly 40 000 people in suburban Cape Town, South Africa. The model was calibrated to data describing local demography, TB and HIV prevalence, TB case notifications and treatment outcomes using a Bayesian calibration approach. We projected the effect of annual targeted active case finding in all individuals who had previously completed tuberculosis treatment and targeted active case finding combined with lifelong secondary isoniazid preventive therapy. We estimated the effect of these targeted interventions on local tuberculosis incidence, prevalence, and mortality over a 10 year period (2016-25).

findingsWe projected that, under current control efforts in this setting, the tuberculosis epidemic will remain in slow decline for at least the next decade. Additional interventions targeted to previously treated people could greatly accelerate these declines. We projected that annual targeted active case finding combined with secondary isoniazid preventive therapy in those who previously completed tuberculosis treatment would avert 40% (95% uncertainty interval [UI] 21-56) of incident tuberculosis cases and 41% (16-55) of tuberculosis deaths occurring between 2016 and 2025.

interpretationIn this high-incidence setting, the use of targeted active case finding in combination with secondary isoniazid preventive therapy in previously treated individuals could accelerate decreases in tuberculosis morbidity and mortality. Studies to measure cost and resource implications are needed to establish the feasibility of this type of targeted approach for improving tuberculosis control in settings with high tuberculosis and HIV prevalence.

fundingNational Institutes of Health, German Research Foundation.

Indexed as

AdolescentAdultAntitubercular AgentsBayes TheoremChildChild, PreschoolEpidemicsHIV InfectionsHumansIncidenceInfantInfant, NewbornIsoniazidModels, TheoreticalPrevalenceSouth AfricaAntitubercular AgentsIsoniazid

Identifiers

PMID29472018
PMCPMC5849574
OpenAlexW2788771178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.