Evidence map›Paper›PMID 29580761›Full record

ArticleThe Lancet. Global health2018

The impact of social protection and poverty elimination on global tuberculosis incidence: a statistical modelling analysis of Sustainable Development Goal 1.

Daniel J Carter, Philippe Glaziou, Knut Lönnroth, Andrew Siroka, Katherine Floyd, Diana Weil, Mario Raviglione, Rein M G J Houben, Delia Boccia

Abstract 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 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

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  6. Functional analysis of theMicrobiology spectrum · 2026
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  18. Applying Multiple Analyses to Quantify Changes in the Global, Regional, and National Burden of Tuberculosis From 1990 to 2021 and the Forecast Until 2035.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Daniel J CarterDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: daniel.carter1@lshtm.ac.uk.
Philippe GlaziouGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Knut LönnrothDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Andrew SirokaGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Katherine FloydGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Diana WeilGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Mario RaviglioneGlobal TB Programme, World Health Organization, Geneva, Switzerland; Department of Global Health, University of Milan, Milan, Italy.
Rein M G J HoubenTB Modelling Group, TB Center, London School of Hygiene & Tropical Medicine, London, UK.
Delia BocciaDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe End TB Strategy and the Sustainable Development Goals (SDGs) are intimately linked by their common targets and approaches. SDG 1 aims to end extreme poverty and expand social protection coverage by 2030. Achievement of SDG 1 is likely to affect the tuberculosis epidemic through a range of pathways. We estimate the reduction in global tuberculosis incidence that could be obtained by reaching SDG 1.

methodsWe developed a conceptual framework linking key indicators of SDG 1 progress to tuberculosis incidence via well described risk factor pathways and populated it with data from the SDG data repository and the WHO tuberculosis database for 192 countries. Correlations and mediation analyses informed the strength of the association between the SDG 1 subtargets and tuberculosis incidence, resulting in a simplified framework for modelling. The simplified framework linked key indicators for SDG 1 directly to tuberculosis incidence. We applied an exponential decay model based on linear associations between SDG 1 indicators and tuberculosis incidence to estimate tuberculosis incidence in 2035.

findingsEnding extreme poverty resulted in a reduction in global incidence of tuberculosis of 33·4% (95% credible interval 15·5-44·5) by 2035 and expanding social protection coverage resulted in a reduction in incidence of 76·1% (45·2-89·9) by 2035; both pathways together resulted in a reduction in incidence of 84·3% (54·7-94·9).

interpretationFull achievement of SDG 1 could have a substantial effect on the global burden of tuberculosis. Cross-sectoral approaches that promote poverty reduction and social protection expansion will be crucial complements to health interventions, accelerating progress towards the End TB targets.

fundingWorld Health Organization.

Indexed as

Public PolicyGlobal HealthGoalsHumansIncidenceModels, StatisticalPovertyTuberculosis

Identifiers

PMID29580761
PMCPMC5968370

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LicenceCC BY-NC-ND
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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.