Evidence map›Paper›PMID 41782100›Full record

ArticleBMC pulmonary medicine2026

Prevalence and risk factors of lung nodules in a non-smoking Chinese population: a prospective study of low-dose computed tomography screening.

Wei Tang, Yanyan Tang, Yi Teng, Jianwei Wang, Lina Zhou, Haohua Zhu, Shijun Zhao, Zewei Zhang, Zhijian Xu, Kai Zhang and 2 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Wei Tang *Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yanyan Tang *Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yi TengOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jianwei WangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Lina ZhouDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Haohua ZhuDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Shijun ZhaoDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zewei ZhangDepartment of Nuclear Medicine (PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhijian XuDepartment of Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Kai ZhangDepartment of Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yao HuangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. huangyao93@163.com.
Ning WuDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. cjr.wuning@vip.163.com.

Funding

Beijing Hope Run Special Fund of Cancer Foundation of China LC2021A25the National Key R&D Program of China 2017YFC1308700
6 · The paper itself

Abstract

backgroundLow-dose computed tomography (LDCT) has significantly improved early detection of lung cancer, especially among high-risk populations. However, the risk factors and lung nodule distributions in non-smoking populations remain underexplored, particularly in Asia. Therefore, in this study, we aimed to explore the risk factors and delineate the detection rate, including lung nodule distributions discovered using LDCT, in a non-smoking Chinese population.

methodsThis prospective, single-center study included asymptomatic adults who underwent LDCT screening at the National Cancer Center of China between January 2006 and December 2023. Lung nodules were defined as at least one non-calcified nodule, while clinically relevant lung nodules were defined as at least one solid or partially solid nodule, or at least one non-solid nodule. Multivariate logistic regression models were employed to identify risk factors associated with lung nodules. The outcomes included detection rates and distribution of both nodule types.

resultsOf 23,271 participants, lung nodules were detected in 40.1% (9,342/23,271); 4.4% (1,023/23,271) had clinically relevant lung nodules. Risk factors for lung nodule development included female sex (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.06-1.19), SHS exposure (OR 1.59, 95% CI 1.49-1.70), and emphysema (OR 1.49, 95% CI 1.24-1.78). The incidence of lung nodules increased with age, peaking at 70-74 years (OR 3.10, 95% CI 2.53-3.79). Risk factors for clinically relevant lung nodules included increasing age, SHS exposure (OR 1.44, 95% CI 1.22-1.69), and emphysema (OR 1.84, 95% CI 1.36-2.49). Detection rates for both nodule types were positively correlated with age (lung nodules: women 33.7-61.4%, men 32.3-57.5%; clinically relevant lung nodules: women 2.4-12.4%, men 2.2-15.1%).

conclusionsThis real-world study of a non-smoking Chinese population revealed high lung nodule detection rates, with women exhibiting a higher detection rate than men. SHS has emerged as a significant risk factor for both lung and clinically relevant nodules. These findings highlight the importance of refining LDCT screening strategies and risk models for non-smoking populations in Asia.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleTomography, X-Ray ComputedAdultAgedChinaEarly Detection of CancerEast Asian PeopleFemaleHumansLogistic ModelsMaleMiddle AgedNon-SmokersPrevalenceLow-dose computed tomographyLung noduleNon-smoking populationSecond-hand smokeWomen

Identifiers

PMID41782100
PMCPMC13067505

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Registered trials

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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.