Evidence map›Paper›PMID 40950424›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The potential impact, cost and cost-effectiveness of tuberculosis interventions - a modelling exercise.

Katherine C Horton, Alvaro Schwalb, Martin J Harker, Lara Goscé, Elena Venero-Garcia, Lily O'Brien, Arkaprabha Gun, Tom Sumner, C Finn McQuaid, Rebecca A Clark and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Katherine C HortonTB Modelling Group, TB Centre, LSHTM, London, UK.
Alvaro SchwalbTB Modelling Group, TB Centre, LSHTM, London, UK.
Martin J HarkerTB Modelling Group, TB Centre, LSHTM, London, UK.
Lara GoscéTB Modelling Group, TB Centre, LSHTM, London, UK.
Elena Venero-GarciaTB Modelling Group, TB Centre, LSHTM, London, UK.
Lily O'BrienTB Modelling Group, TB Centre, LSHTM, London, UK.
Arkaprabha GunTB Modelling Group, TB Centre, LSHTM, London, UK.
Tom SumnerTB Modelling Group, TB Centre, LSHTM, London, UK.
C Finn McQuaidTB Modelling Group, TB Centre, LSHTM, London, UK.
Rebecca A ClarkTB Modelling Group, TB Centre, LSHTM, London, UK.
Tomos O Prys-JonesTB Modelling Group, TB Centre, LSHTM, London, UK.
Roel BakkerTB Modelling Group, TB Centre, LSHTM, London, UK.
Yiran E LiuYEL - SEICHE Center for Health and Justice, Yale University School of Medicine, New Haven, CT, USA.
Mmamapudi KubjaneMK - Health Economics and Epidemiology Research Office, Wits Health Consortium, Johannesburg, South Africa.
Christian LienhardtFrench Institute for Research in Sustainable Development (IRD), Montpellier, France.
Richard G WhiteTB Modelling Group, TB Centre, LSHTM, London, UK.
Rein M G J HoubenTB Modelling Group, TB Centre, LSHTM, London, UK.ORCID 0000-0003-4132-7467

Funding

Defining drivers of TB transmission in the era of universal ART, and implications for finding the walking wellR01AI147321 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI GRANT, ALISON · 2019 to 2024
$2.3M
Gates Foundation INV-001754NIAID NIH HHS R01 AI147321Wellcome Trust
6 · The paper itself

Abstract

Background: While a range of interventions exist for tuberculosis prevention, screening, diagnosis, and treatment, their potential population impact and cost-effectiveness are seldom directly compared, or evaluated between settings with different background TB epidemiology and structural drivers. Methods: We calibrated a deterministic TB model to epidemiological indicators in Brazil, India, and South Africa. We implemented seven interventions across countries focusing on prevention, screening and diagnosis, and treatment of TB, as well as TB screening in prisons in Brazil and nutritional supplementation in India. We standardised scale-up (2025-2030), coverage (80% of target population), and strength of evidence for epidemiological impact using published efficacy data. We estimated epidemiological impact and incremental cost-effectiveness ratios (ICERs), expressed as costs per disability-adjusted life year (DALY) averted by 2050. Results: Only three interventions prevented >10% of incident TB episodes by 2050: vaccination (median 15-28% across countries), symptom-agnostic community-wide screening (32-38%) and screening in prisons (23%). The impact of other interventions was more limited, ranging from 0% (shortened drug-susceptible treatment) to 5% (nutritional supplementation). ICERs varied widely by intervention and setting. Shortened drug-resistant treatment was cost-saving across settings, with the next lowest ICERs for prison screening in Brazil (72 USD/DALY) and nutritional supplementation in India (167 USD/DALY). Within each country, both low-cost community-wide screening and TB vaccine campaigns had lower USD/DALY than TB preventive treatment. Conclusion: Interventions with meaningful epidemiological impact can also be cost-effective, but need to target populations beyond clinic-diagnosed individuals or their households. Achieving such potential requires a priority shift in funding, policy and product development.

Identifiers

PMID40950424
PMCPMC12424940

What OpenQuestion holds

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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.