Evidence map›Paper›PMID 38827931›Full record

ReviewThe Lancet regional health. Western Pacific2024

Population-wide active case finding as a strategy to end TB.

Thu-Anh Nguyen, Alvin Kuo Jing Teo, Yanlin Zhao, Mamel Quelapio, Jeremy Hill, Fukushi Morishita, Ben J Marais, Guy B Marks

Abstract readReview
In one paragraph

Review in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  9. Extensive Endemic Transmission of Multidrug-ResistantOpen forum infectious diseases · 2026
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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

8 authors.

Thu-Anh NguyenThe University of Sydney Vietnam Institute, Ho Chi Minh City, Vietnam.
Alvin Kuo Jing TeoFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Yanlin ZhaoChinese Centre for Disease Control and Prevention, Beijing, China.
Mamel QuelapioTropical Disease Foundation, Makati, Philippines.
Jeremy HillFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Fukushi MorishitaWorld Health Organization, Regional Office for the Western Pacific, Manila, Philippines.
Ben J MaraisFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Guy B MarksThe University of Sydney Institute for Infectious Diseases (Sydney ID) and the Centre of Research Excellence in Tuberculosis (TB-CRE), Sydney, NSW, Australia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Tuberculosis (TB) is the leading infectious cause of morbidity and mortality globally. Despite available tools for preventing, finding, and treating TB, many people with TB remain undiagnosed. In high-incidence settings, TB transmission is ubiquitous within the community, affecting both high-risk groups and the general population. In fact, most people who develop TB come from the general population. To disrupt the chain of transmission that sustains the TB epidemic, we need to find and treat everyone with infectious TB as early as possible, including those with minimal symptoms or subclinical TB who are unlikely to present for care. Important elements of an effective active case-finding strategy include effective social mobilisation and community engagement, using sensitive screening tools that can be used at scale, and embracing population-wide screening in high-incidence ('hot spot') areas. We require a better description of feasible delivery models, 'real-life' impact and cost effectiveness to enable wider implementation.

Indexed as

High-incidence settingsPopulation-wide active case findingTuberculosis

Identifiers

PMID38827931
PMCPMC11143452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.