Evidence map›Paper›PMID 39681899›Full record

ReviewBMC global and public health2024

Community-based active-case finding for tuberculosis: navigating a complex minefield.

Peter MacPherson, Kwame Shanaube, Mphatso D Phiri, Hannah M Rickman, Katherine C Horton, Helena R A Feasey, Elizabeth L Corbett, Rachael M Burke, Molebogeng X Rangaka

Erratum issued Registry-linked trialAbstract readReview
In one paragraph

Review in BMC global and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07420881 (Start 4 All - DARE-TB), which is not on this map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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.

NCT07420881 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Start 4 All - DARE-TB

TypeinterventionalSponsorLiverpool School of Tropical MedicineRan2026 to 2027Enrolled60,000ConditionsTB - TuberculosisArmsNear point of care (NPOC) NAATs, Low-complexity nucleic acid amplification tests (LC-NAATs), LC-NAAT using pooled testing, Computer-Aided Detection (CAD) Chest X-ray (CXR-AI), Culture (reference standard)
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Closing gaps through innovation in the tuberculosis pathology value chain.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Genomic epidemiology ofMicrobial genomics · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Mobility patterns, activity locations, and TB in Nairobi, Kenya.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Peter MacPhersonSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK. peter.macpherson@glasgow.ac.uk.
Kwame ShanaubeZAMBART, University of Zambia, Lusaka, Zambia.
Mphatso D PhiriMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Hannah M RickmanClinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Katherine C HortonDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Helena R A FeaseyClinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Elizabeth L CorbettClinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Rachael M BurkeClinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Molebogeng X RangakaCIDRI-Africa, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-based active case finding (ACF) for tuberculosis (TB) involves an offer of screening to populations at risk of TB, oftentimes with additional health promotion, community engagement and health service strengthening. Recently updated World Health Organization TB screening guidelines conditionally recommend expanded offer of ACF for communities where the prevalence of undiagnosed pulmonary TB is greater than 0.5% among adults, or with other structural risk factors for TB. Subclinical TB is thought to be a major contributor to TB transmission, and ACF, particularly with chest X-ray screening, could lead to earlier diagnosis. However, the evidence base for the population-level impact of ACF is mixed, with effectiveness likely highly dependent on the screening approach used, the intensity with which ACF is delivered, and the success of community- and health-system participation. With recent changes in TB epidemiology due to the effective scale-up of treatment for HIV in Africa, the impacts of the COVID-19 pandemic, and the importance of subclinical TB, researchers and public health practitioners planning to implement ACF programmes must carefully and repeatedly consider the potential population and individual benefits and harms from these programmes. Here we synthesise evidence and experience from implementing ACF programmes to provide practical guidance, focusing on the selection of populations, screening algorithms, selecting outcomes, and monitoring and evaluation. With careful planning and substantial investment, community-based ACF for TB can be an impactful approach to accelerating progress towards elimination of TB in high-burden countries. However, ACF cannot and should not be a substitute for equitable access to responsive, affordable, accessible primary care services for all.

Indexed as

CommunityHIVPublic healthScreeningTuberculosis

Identifiers

PMID39681899
PMCPMC11622870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.