ArticleBMC medicine2022
Prioritising attributes for tuberculosis preventive treatment regimens: a modelling analysis.
Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Factors Associated With Discontinuation of Tuberculosis Preventive Treatment: Post Hoc Analysis of 2 Randomized, Controlled Trials.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Trial
- Towards ending tuberculosis in South Africa: an uncertainty analysis of the programmes and factors most critical to future declines.Global health action · 2026Article
- Preventing Multidrug-Resistant Tuberculosis: The Dawn of a New Era.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Review
- Optimising child-friendly TB preventive treatment regimens.IJTLD open · 2025Article
- Cost-effectiveness of preventive treatment regimens for latent tuberculosis infection among key community-level populations.BMC medicine · 2025Article
- Estimated costs of tuberculosis services in Brazil, 2023.BMJ open respiratory research · 2025Article
- Tuberculosis Preventive Treatment in High TB-Burden Settings: A State-of-the-Art Review.Drugs · 2025Review
- Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness.PLoS medicine · 2022Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 5 countries.
Funding
Abstract
backgroundRecent years have seen important improvements in available preventive treatment regimens for tuberculosis (TB), and research is ongoing to develop these further. To assist with the formulation of target product profiles for future regimens, we examined which regimen properties would be most influential in the epidemiological impact of preventive treatment.
methodsFollowing expert consultation, we identified 5 regimen properties relevant to the incidence-reducing impact of a future preventive treatment regimen: regimen duration, efficacy, ease-of-adherence (treatment completion rates in programmatic conditions), forgiveness to non-completion and the barrier to developing rifampicin resistance during treatment. For each regimen property, we elicited expert input for minimally acceptable and optimal (ideal-but-feasible) performance scenarios for future regimens. Using mathematical modelling, we then examined how each regimen property would influence the TB incidence reduction arising from full uptake of future regimens according to current WHO guidelines, in four countries: South Africa, Kenya, India and Brazil.
resultsOf all regimen properties, efficacy is the single most important predictor of epidemiological impact, while ease-of-adherence plays an important secondary role. These results are qualitatively consistent across country settings; sensitivity analyses show that these results are also qualitatively robust to a range of model assumptions, including the mechanism of action of future preventive regimens.
conclusionsAs preventive treatment regimens against TB continue to improve, understanding the key drivers of epidemiological impact can assist in guiding further development. By meeting these key targets, future preventive treatment regimens could play a critical role in global efforts to end TB.
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Registered trials
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