Evidence map›Paper›PMID 39824201›Full record

ArticleThe Lancet. Global health2025

Estimating the epidemiological and economic impact of providing nutritional care for tuberculosis-affected households across India: a modelling study.

Christopher Finn McQuaid, Rebecca A Clark, Richard G White, Roel Bakker, Peter Alexander, Roslyn Henry, Banurekha Velayutham, Malaisamy Muniyandi, Pranay Sinha, Madhavi Bhargava and 2 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  4. From DOTS to DOST: a new framework for TB elimination in India.The Lancet regional health. Southeast Asia · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Christopher Finn McQuaidTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: finn.mcquaid@lshtm.ac.uk.
Rebecca A ClarkTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Richard G WhiteTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Roel BakkerTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; KNCV Tuberculosis Foundation, The Hague, Netherlands.
Peter AlexanderSchool of Geosciences, University of Edinburgh, Edinburgh, UK.
Roslyn HenrySchool of Biological Sciences, University of Aberdeen, King's College, Aberdeen, UK.
Banurekha VelayuthamICMR-National Institute for Research in Tuberculosis, Chennai, India.
Malaisamy MuniyandiICMR-National Institute for Research in Tuberculosis, Chennai, India.
Pranay SinhaSection of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Madhavi BhargavaDepartment of Community Medicine, Yenepoya Medical College, Mangalore, India; Center for Nutrition Studies, Yenepoya University, Mangalore, India.
Anurag BhargavaCenter for Nutrition Studies, Yenepoya University, Mangalore, India; Department of Medicine, Yenepoya Medical College Hospital, Mangalore, India; Department of Medicine, McGill University, Montreal, QC, Canada.
Rein M G J HoubenTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

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
Nutritional Interventions to End Tuberculosis among Persons with HIV (NUTRIENT)K01AI167733 · NIAID · BOSTON MEDICAL CENTER · PI Pranay Sinha · 2023 to 2026
$512k
Gates Foundation INV-001754Gates Foundation INV-035506NIAID NIH HHS K01 AI167733NIAID NIH HHS R01 AI147321Wellcome Trust
6 · The paper itself

Abstract

backgroundApproximately 20% of global tuberculosis incidence is attributable to undernutrition, increasing to more than a third in India. Targeting nutritional interventions to tuberculosis-affected households is a policy priority, but understanding of epidemiological and economic impacts is limited. We aimed to estimate the population-level epidemiological and economic effect of such an intervention.

methodsWe used a previously published, age-stratified, compartmental transmission model of tuberculosis in India, and incorporated explicit BMI strata linked to disease progression and treatment outcomes. We used results from a recent trial of an intervention in which nutritional support in the form of food baskets was provided to people initiating tuberculosis treatment and to their household contacts (1200 kcal for patients and 750 kcal for contacts) to inform estimates of the impact and costs of nutritional support. We estimated the numbers of cases of tuberculosis disease and deaths due to tuberculosis disease that could be averted from 2023 to 2035 under the intervention scenario.

findingsCompared with a baseline with no nutritional intervention, at 50% coverage of adults on tuberculosis treatment and their households (around 23% of households affected by incident tuberculosis in India), providing the nutritional support intervention could prevent 361 200 (95% uncertainty interval 318 000-437 700) tuberculosis deaths and 880 700 (802 700-974 900) disease episodes from 2023 to 2035. This would be equivalent to averting approximately 4·6% (4·2-5·5) tuberculosis deaths and 2·2% (2·1-2·4) tuberculosis episodes. The additional health system cost would be US$1349 million (1221-1492), with an incremental cost-effectiveness ratio of $167 (147-187) per disability-adjusted life-year averted. The median number of households needed to treat to prevent one tuberculosis death was 24·4 and to prevent one tuberculosis case was 10·0.

interpretationA nutritional intervention for tuberculosis-affected households could avert a substantial amount of tuberculosis disease and death in India, and would be highly likely to be cost-effective on the basis of the tuberculosis-specific benefits alone.

fundingNone. TRANSLATIONS: For the Bangla and Hindi translations of the abstract see Supplementary Materials section.

Indexed as

MalnutritionNutritional SupportTuberculosisAdolescentAdultChildChild, PreschoolCost-Benefit AnalysisFamily CharacteristicsFemaleHumansIndiaInfantMaleMiddle AgedYoung Adult

Identifiers

PMID39824201
PMCPMC11865009

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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.