Evidence map›Paper›PMID 40125311›Full record

ArticleThe Lancet regional health. Western Pacific2025

The dynamic change of tuberculosis infection prevalence in rural residents: 10-year follow-up of a population-based, multicentre cohort study from China.

Xuefang Cao, Lei Gao, Henan Xin, Limei Zhu, Weitao Duan, Boxuan Feng, Wei Lu, Zisen Liu, Yijun He, Lingyu Shen and 17 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

27 authors.

Xuefang CaoNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Lei GaoNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Henan XinNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Limei ZhuCenter for Disease Control and Prevention of Jiangsu Province, Nanjing, P.R. China.
Weitao DuanCenter for Disease Control and Prevention of Zhongmu County, Zhengzhou, P.R. China.
Boxuan FengNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Wei LuCenter for Disease Control and Prevention of Jiangsu Province, Nanjing, P.R. China.
Zisen LiuCenter for Disease Control and Prevention of Zhongmu County, Zhengzhou, P.R. China.
Yijun HeNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Lingyu ShenNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Juanjuan HuangNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Bin ZhangCenter for Disease Control and Prevention of Zhongmu County, Zhengzhou, P.R. China.
Dakuan WangCenter for Disease Control and Prevention of Zhongmu County, Zhengzhou, P.R. China.
Jiaoxia YanCenter for Disease Control and Prevention of Zhongmu County, Zhengzhou, P.R. China.
Cheng ChenCenter for Disease Control and Prevention of Jiangsu Province, Nanjing, P.R. China.
Lihui WangCenter for Disease Control and Prevention of Danyang City, Danyang, P.R. China.
Wenhua YinCenter for Disease Control and Prevention of Danyang City, Danyang, P.R. China.
Guochen WangCenter for Disease Control and Prevention of Danyang City, Danyang, P.R. China.
Tonglei GuoNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Yuanzhi DiNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Zihan LiNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Jianguo LiangNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Yaqi ZhaoNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Hongzhi LiThe Sixth People's Hospital of Zhengzhou, Zhengzhou, P.R. China.
Fei ShenThe Sixth People's Hospital of Zhengzhou, Zhengzhou, P.R. China.
Jiang DuNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Qi JinNHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of tuberculosis (TB) decreased significantly in recent years in China. However, the declining in the burden of tuberculosis infection (TBI) have not been systematically evaluated. The aim of this study was to elucidate the changes of TBI prevalence during the past decade. Methods: Based on a population-based, multicenter cohort study (LATENTTB-NSTM), a 10-year follow-up survey was conducted among registered residents (≥18 years old) at two study sites (Zhongmu and Danyang) using open-cohort design. After excluding active TB, tuberculin skin test (TST) and interferon-γ release assay (IGRA) were used to determine TBI status of each participant. Findings: Overall, 5924 eligible participants who completed the follow-up survey were included in the analysis. Compared to the age- and gender-standardized TBI prevalence determined by IGRA in 2013, the prevalence of TBI was observed to be decreased by 22·24% (from 15·11% to 11·75%) in Danyang site and by 40·86% (from 16·57% to 9·80%) in Zhongmu site in 2023. A consistently declining trend was observed as well for TBI prevalence determined by TST test. The acquisition of TBI in 10 years was assessed by the conversion rate of IGRA result in 4648 participants who participated in both the 2013 and 2023 surveys. The IGRA conversion rate in Danyang site was significantly higher than that in Zhongmu site (4% vs. 2%, p < 0·0001). The reversion rate of IGRA result was assessed as well, and no statistically significant difference was observed between the two study sites (29% in Danyang site vs. 31% in Zhongmu site, p = 0·577). Male gender was found to be associated with an increased risk of IGRA conversion as compared to female, with adjusted odds ratio (OR) of 1·46 (95% confidence interval [CI]: 1·00-2·13). In addition, never smokers were observed to be associated with significantly higher IGRA reversion rates (OR = 2·91, 95% CI: 1·52-5·57) (p = 0.001) as compared to current smokers. We also found the influence of BCG vaccination at birth on TST positivity was non-significant among individuals aged 15 and above. Interpretation: Our findings suggest that the prevalence of TBI in rural residents from China has significantly decreased along with the declining of TB incidence in the last decade. The downward trend shows regional differences, which might be partly explained by the difference in new infection rates across regions. Funding: The CAMS Innovation Fund for Medical Sciences and the National Natural Science Foundation of China.

Indexed as

10-year follow-upChinaMulticentre cohort studyTuberculosis infection

Identifiers

PMID40125311
PMCPMC11930089

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.