Evidence map›Paper›PMID 42147002›Full record

ArticleChina CDC weekly2026

Drug Resistance and Risk Factors of Bacteriologically Confirmed Tuberculosis Cases in 10 Sites - Hunan Province, China, 2018-2025.

Jingwei Guo, Jun Liang, Yunhong Tan, Zuhui Xu, Baozhen Peng, Xichao Ou, Peilei Hu, Zhenhua Chen, Hua Bai, Binbin Liu and 8 more

Abstract read
In one paragraph

Article in China CDC weekly, 2026. 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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0citing papers 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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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

18 authors.

Jingwei GuoHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Jun LiangHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Yunhong TanHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Zuhui XuHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Baozhen PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xichao OuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Peilei HuHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Zhenhua ChenHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Hua BaiHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Binbin LiuHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Wenjie ZhaoHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Liqin LiuHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Yanhong LiHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Xiaojie WanHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Jue WangHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Jie DuanHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Yi LiuHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.
Dehua GongHunan Institute for Tuberculosis Control (Hunan Chest Hospital), Changsha City, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Tuberculosis (TB) is a deadly global infectious disease, and China has a high burden of rifampicin-resistant (RR) and multidrug-resistant (MDR) TB, according to the World Health Organization. Prior treatment, Regional disparities, demographics (age/sex), and comorbidities (e.g., diabetes) are associated with an elevated risk of drug-resistant TB. What is added by this report?: We analyzed 25,978 bacteriologically confirmed pulmonary TB (PTB) cases in 10 sites in Hunan Province and found lower first-line drug resistance rates than national/provincial estimates (2018-2025). Retreatment, age 25-44 years, diabetes, and Lengshuitan residence were independent predictors of resistance. Resistance declined during the pandemic, rebounded slightly thereafter, and displayed a 4.0% annual decrease (statistically significant). There was notable inter-county heterogeneity (intraclass correlation coefficient=0.11). Hunan shifted to molecular testing (82.79% of susceptibility tests in 2021-2025). What are the implications for public health practice?: Surveillance should be intensified for groups at high risk of drug-resistant TB, including retreatment patients, those aged 25-44 years, patients with diabetes and TB, and Lengshuitan residents. A scale-up of molecular diagnostic technologies and increased testing panels to cover isoniazid resistance for accurate resistance assessment should be included. Post-pandemic TB control interventions should continue to optimize the quality of routine surveillance data, and in-depth research on non-laboratory factors that lead to regional disparities in drug resistance rates should be performed.

Indexed as

Anti-tuberculosis drug resistanceRisk factorsTuberculosis

Identifiers

PMID42147002
PMCPMC13171626

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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.