Evidence map›Paper›PMID 41346738›Full record

ArticleFrontiers in public health2025

Transmission characteristics of tuberculosis in the high-TB-burden region of Southwest China.

Xing Yang, Haohao Ru, Tao Chen, Lianyong Chen, Qinxuan Ni, Shuangqun Yan, Rui Yang, Jinou Chen, Lin Xu

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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

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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.

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4 · The record

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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

9 authors.

Xing YangYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Haohao RuYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Tao ChenYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Lianyong ChenYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Qinxuan NiYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Shuangqun YanYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Rui YangYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Jinou ChenYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.
Lin XuYunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whole genome sequencing (WGS) can provide valuable insights into the transmission patterns of Methods: We conducted a retrospective study using strains isolated from L County between January 2019 and July 2020. Demographic data of patients were retrieved from National Tuberculosis Information Management System. A whole genome sequencing-based clustering analysis was performed to assess the transmission characteristics of pulmonary TB in L County. Univariate and multivariate logistic regression analyses were employed to identify potential risk factors associated with clustering. Results: A total of 143 strains from 136 confirmed TB cases were available for analysis, among them 74.26% of Conclusion: A significant proportion of tuberculosis cases in L County are attributed to recent transmission occurring within communities or neighborhoods across townships for both sensitive and drug-resistant TB. These findings suggest that an active case-finding strategy should be implemented in this area to identify patients at the early stages. Furthermore, active screening should not only target key populations such as close household contacts or old population but also extend to all residents over 15 years. Improving chemotherapy treatment quality and patient follow-up is essential in L County.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAdolescentAdultAgedChinaCluster AnalysisFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsWhole Genome SequencingYoung Adultcluster analysishigh burden settingMycobacterium tuberculosistransmission patternwhole genome sequencing

Identifiers

PMID41346738
PMCPMC12672527

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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.