Evidence map›Paper›PMID 41376685›Full record

ArticlePublic health action2025

Active TB case finding in returnee coalminers and their home district communities in Pakistan.

K U Eman, G N Kazi, U R Lodhi, B Kirubi, M Ali, M Shahzad, F Siraj, S A Raisani, S Ashraf, S John and 2 more

Abstract read
In one paragraph

Article in Public health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

K U EmanDopasi Foundation, Islamabad, Pakistan.
G N KaziDopasi Foundation, Islamabad, Pakistan.
U R LodhiDopasi Foundation, Islamabad, Pakistan.
B KirubiStop TB Partnership, Geneva, Switzerland.
M AliDopasi Foundation, Islamabad, Pakistan.
M ShahzadProvincial TB Control Program, Peshawar, Pakistan.
F SirajProvincial TB Control Program, Peshawar, Pakistan.
S A RaisaniProvincial TB Control Program, Quetta, Pakistan.
S AshrafCommunicable Disease Control, Hyderabad, Pakistan.
S JohnJanna Health Foundation, Yola, Nigeria.
S TahseenDopasi Foundation, Islamabad, Pakistan.
J CreswellStop TB Partnership, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingFive districts with large coalmining workforces in Pakistan.

objectiveTo assess the burden of TB among returnee coalminers (RCMs) and associated community members (ACMs) in their home districts through active case finding (ACF).

designThis cross-sectional study (October 2020-September 2021) used portable chest X-ray (CXR) with artificial intelligence (AI) in camps and verbal screening in camps and communities. Individuals screening positive were tested with GeneXpert, and those diagnosed were initiated on TB treatment.

resultsA total of 150,242 individuals were screened, including 44% RCMs. Of these, 8.3% underwent CXR, 10% verbal screening in camps, and 81% verbal screening in communities. Symptoms were reported by 45% of RCMs and 15% of ACMs, while CXR abnormalities were comparable. TB was diagnosed in 226 RCMs and 204 ACMs, with overall prevalence per 100,000 of 341 (95% confidence interval [CI]: 296-385) and 243 (95% CI: 209-276), respectively. TB prevalence varied by screening strategy and was significantly higher among those screened with CXR: 1,156 in RCMs and 497 in ACMs.

conclusionAI-assisted CXR was substantially more effective than verbal screening, detecting significantly higher numbers of TB cases among RCMs and ACMs, supporting its use for targeted ACF in high-risk populations.

Indexed as

AI-enabled CXRchest X-rayTB screeningtuberculosisultra-portable X-rayvulnerable population

Identifiers

PMID41376685
PMCPMC12687118

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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.