Evidence map›Paper›PMID 40692838›Full record

ArticleERJ open research2025

Association of inactive pulmonary tuberculosis lesions with the risk of active disease development in the elderly: a population-based retrospective study.

Lingyu Shen, Yu Zhang, Henan Xin, Xuefang Cao, Jiang Du, Yuanzhi Di, Juanjuan Huang, Yijun He, Boxuan Feng, Zihan Li and 12 more

Abstract read
In one paragraph

Article in ERJ open research, 2025. 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

22 authors.

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, PR China.
Yu ZhangCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR 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, PR China.
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, PR 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, PR 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, PR 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, PR 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, PR 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, PR 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, PR 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, PR China.
Wei WangZhejiang Provincial Center for Diseases Control and Prevention, Hangzhou, PR China.
Ying PengCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Xiaogang HaoZhejiang Provincial Center for Diseases Control and Prevention, Hangzhou, PR China.
Chunfu FangZhejiang Provincial Center for Diseases Control and Prevention, Hangzhou, PR China.
Bingjun XuCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Xiaomeng WangCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Bin ChenCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Zhen WangCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Fei WangCenter for Diseases Control and Prevention of Quzhou City, Quzhou, PR China.
Ping ZhuZhejiang Provincial Center for Diseases Control and Prevention, Hangzhou, PR 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, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individuals with inactive pulmonary tuberculosis (PTB) lesions were found to be high-risk populations for active PTB development. This retrospective study evaluated the association between different types of inactive PTB lesions and the development of active PTB aiming to provide epidemiological evidence for developing precise intervention strategies. Methods: Based on a population-based PTB active-case-finding project conducted on the elderly, 154 028 subjects who had participated in the 2020 baseline survey were included in the current analysis. Results: During the 2-year follow-up, 462 cases developed microbiologically confirmed active PTB with an overall incidence rate of 0.19 per 100 person-years. Among the study population, 15 037 (9.76%) showed chest radiography (CXR) abnormalities suggestive of inactive PTB, which was found to be independently associated with an increased risk of active PTB with an adjusted hazard ratio (aHR) of 6.00 (95% confidence interval (CI) 4.85-7.43) compared with normal CXR. Such a relationship was consistently observed for inactive lesions, including fibrosis, calcification, pleural thickening and nodule lesions with aHRs ranging from 2.94 to 6.55. Inactive PTB lesions alone or a history of anti-tuberculosis (TB) treatment alone were independently associated with the risk of active PTB with aHRs of 6.96 (95% CI 5.59-8.67) and 7.67 (95% CI 4.26-13.78), respectively. A combined effect between inactive PTB lesions and with history of anti-TB treatment was found with an aHR of 10.50 (95% CI 5.93-18.52). Conclusion: Overall, individuals with inactive PTB lesions, regardless of lesion type and history of anti-TB treatment, are at increased risk of developing active PTB and deserve interventions for TB control.

Identifiers

PMID40692838
PMCPMC12278313

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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.