Evidence map›Paper›PMID 32684164›Full record

ArticleBMC medicine2020

The potential impact of preventive therapy against tuberculosis in the WHO South-East Asian Region: a modelling approach.

Sandip Mandal, Vineet Bhatia, Mukta Sharma, Partha Pratim Mandal, Nimalan Arinaminpathy

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A model for the epidemiological impact of tuberculosis policy options.Bulletin of the World Health Organization · 2026
    Article
  3. Article
  4. Article
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  6. Review
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  8. ThemedRxiv : the preprint server for health sciences · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. The Impact of Preventive Treatment for Multidrug- and Rifampin-Resistant Tuberculosis Exceeds Trial-Based Estimates.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Costs of TB services in India (No 1).The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Review
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  19. Article
  20. 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.

Sandip MandalIndian Council of Medical Research, New Delhi, India. sandipccmb@gmail.com.ORCID 0000-0001-5651-8632
Vineet BhatiaSouth-East Asian Regional Office, World Health Organization, New Delhi, India.
Mukta SharmaSouth-East Asian Regional Office, World Health Organization, New Delhi, India.
Partha Pratim MandalSouth-East Asian Regional Office, World Health Organization, New Delhi, India.
Nimalan ArinaminpathyMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/R015600/1World Health Organization 001World Health Organization APW 202322439
6 · The paper itself

Abstract

backgroundThe prevention of tuberculosis (TB) is key for accelerating current, slow declines in TB burden. The 2018 World Health Organization (WHO) guidelines on eligibility for preventive therapy to treat latent TB infection (LTBI) include people living with human immunodeficiency virus (PLHIV), household contacts of TB patients including children, and those with clinical conditions including silicosis, dialysis, transplantation, etc. and other country-specific groups. We aimed to estimate the potential impact of full implementation of these guidelines in the WHO South-East Asian (SEA) Region, which bears the largest burden of TB and LTBI amongst the WHO regions.

methodsWe developed mathematical models of TB transmission dynamics, calibrated individually to each of the 11 countries in the region. We modelled preventive therapy in the absence of other TB interventions. As an alternative comparator, reflecting ongoing developments in TB control in the region, we also simulated improvements in the treatment cascade for active TB, including private sector engagement and intensified case-finding. Relative to both scenarios, for each country in the region, we projected TB cases and deaths averted between 2020 and 2030, by full uptake of preventive therapy, defined as comprehensive coverage amongst eligible populations as per WHO guidelines, and assuming outcomes consistent with clinical trials. We also performed sensitivity analysis to illustrate impact under less-than-optimal conditions.

resultsAt the regional level, full uptake of preventive therapy amongst identified risk groups would reduce annual incidence rates in 2030 by 8.30% (95% CrI 6.48-10.83) relative to 2015, in the absence of any additional interventions. If implemented against a backdrop of improved TB treatment cascades, preventive therapy would achieve an incremental 6.93 percentage points (95% CrI 5.81-8.51) of reduction in annual incidence rates, compared to 2015. At the regional level, the numbers of individuals with latent TB infection that need to be treated to avert 1 TB case is 64 (95% CrI 55-74). Sensitivity analysis illustrates that results for impact are roughly proportional to 'effective coverage' (the product of actual coverage and effectiveness of the regimen).

conclusionsFull implementation of WHO guidelines is important for ending TB in the SEA Region. Although future strategies will need to be expanded to the population level, to achieve large declines in TB incidence, the uptake of current tools can offer a valuable step in this direction.

Indexed as

Asia, SoutheasternFemaleHumansMaleTuberculosisWorld Health OrganizationEpidemiologyModellingPreventive therapySouth East AsiaTuberculosis

Identifiers

PMID32684164
PMCPMC7369473

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LicenceCC BY
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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.