Evidence map›Paper›PMID 40530384›Full record

ArticleIJTLD open2025

Data-driven targets for reducing the global burden of TB.

C R Horsburgh, Helen E Jenkins, L Martinez, L F White

Abstract read
In one paragraph

Article in IJTLD open, 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

4 authors.

C R HorsburghDepartment of Epidemiology, Boston University School of Public Health Boston MA USA.
Helen E JenkinsDepartment of Biostatistics, Boston University School of Public Health, Boston MA USA.
L MartinezDepartment of Epidemiology, Boston University School of Public Health Boston MA USA.
L F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe proportion of persons with infectious TB that need to be cured to reduce prevalence is an important but not well characterized target for TB control.

methodsWe compared infectious TB prevalence from countries with two population-based surveys since 2000, accounting for persons receiving curative treatment and those dying or undergoing natural recovery. Annual incidence was estimated as the proportion of prevalence that, when applied to each year over the interval between the two surveys, yielded the observed second survey prevalence. We then determined the relationship between the proportion of people with TB cured and the change in prevalence in each of the years covered by the surveys.

resultsAchieving a decline in prevalence required curing at least 20% of those with infectious TB. None of the countries studied reached the 11% annual decline in prevalence required to yield the END TB goal of a 90% decrease in prevalence over 20 years; this would require diagnosing and curing 35-40% of people with prevalent TB each year.

conclusionsThese results provide targets for achieving the goal of a 90% reduction in TB and indicate that active case finding will be required to reach these targets.

Indexed as

TB incidenceTB prevalenceTB reductiontuberculosis

Identifiers

PMID40530384
PMCPMC12168725

What OpenQuestion holds

Textmetadata
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.