Evidence map›Paper›PMID 41521761›Full record

ArticleEmerging microbes & infections2026

Community-based "X-ray+Xpert® MTB/RIF ultra pooling test" case-finding strategy among high-risk groups in rural areas: a prospective application study.

Zhengwei Liu, Ruiqi Chen, Bing Li, Junhang Pan, Bowen Xie, Qi Wu, Xinghui Gao, Mingwu Zhang, Yelei Zhu, Kunyang Wu and 6 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2026. 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

16 authors.

Zhengwei LiuDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Ruiqi ChenDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Bing LiCenter for Disease Control and Prevention of Jiangshan City, Jiangshan, People's Republic of China.
Junhang PanDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Bowen XieCenter for Disease Control and Prevention of Jiangshan City, Jiangshan, People's Republic of China.
Qi WuCenter for Disease Control and Prevention of Jiangshan City, Jiangshan, People's Republic of China.
Xinghui GaoMedical Affairs, Danaher Corporation/Cepheid, Shanghai, People's Republic of China.
Mingwu ZhangDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Yelei ZhuDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Kunyang WuDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Haiting ChenSchool of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China.
David H PersingMedical Affairs, Danaher Corporation/Cepheid, Shanghai, People's Republic of China.
Yi-Wei TangMedical Affairs, Danaher Corporation/Cepheid, Shanghai, People's Republic of China.
Bin ChenDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Qingrong ZhouCenter for Disease Control and Prevention of Jiangshan City, Jiangshan, People's Republic of China.
Jianmin JiangDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active case-finding (ACF) strategies for tuberculosis (TB) in high-incidence rural areas require cost-effective solutions. We evaluated a novel community-based ACF strategy integrating pooled sputum molecular testing via Xpert® MTB/RIF Ultra. A prospective study was conducted in three high-TB-incidence rural townships in Zhejiang, China (2024). Residents aged ≥65 years underwent centralized health check-ups, including chest X-rays (CXR). Sputum samples from eight consecutive individuals with abnormal CXR findings were pooled for Xpert® MTB/RIF Ultra testing. Positive pools prompted individual retesting. Participants with positive individual test results were referred to designated hospitals for standardized treatment. Among 16,558 eligible residents, 6,960 (42.0%) participated. CXR abnormalities were detected in 1,912 participants (27.5%), with 1,883 providing sputum samples. Pooled testing identified 32 bacteriologically confirmed TB cases among 1,883 participants with CXR abnormalities, yielding a detection rate of 1.7%. The number needed to screen (NNS) to identify one case was 218, which was 177 fewer than that required by the chest X-ray-based alone active case finding strategy. Screening yields of newly detected TB through ACF was 0.460%. The innovative strategy reduced per-case screening costs to US$4.37 (vs. US$54.78 for individual testing) and per-confirmed-case cost to US$949.49. Integrating a pooled Xpert® MTB/RIF Ultra testing with routine health check-ups provides a high-yield, cost-effective ACF strategy for detecting active TB in high-risk elderly populations in rural settings. This approach addresses key barriers to scalable community-based screening.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAgedAged, 80 and overChinaFemaleHumansMaleMass ScreeningPooled TestingProspective StudiesRural PopulationSputumactive case findingpooled sputum testingTuberculosisXpert® MTB/RIF ultra

Identifiers

PMID41521761
PMCPMC12798658

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.