Evidence map›Paper›PMID 40691785›Full record

ArticleBMC cancer2025

Assessing factors influencing participation in LDCT lung cancer screening among high-risk urban populations in Nanjing, China.

Meijing Liu, Suqin Huang, Ziru Yu, Liling Dai, Jin Xiang, Yuan Qu, Xiuming Zhang, Wei Qiao, Yan Chen, Hairong Zhou and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

13 authors.

Meijing Liu *Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Suqin Huang *Taixing Center for Disease Control and Prevention, Taixing, 225400, China.
Ziru YuJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Liling DaiJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Jin XiangJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Yuan QuJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xiuming ZhangJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Wei QiaoJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Yan ChenJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Hairong ZhouDepartment of Non-Communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China.
Longbiao ZhuDepartment of The Sixth Dental Division, Jiangsu Province Key Laboratory of Oral Diseases, Province Engineering Research Center of Stomatological Translational Medicine, The Affiliated Stomatological Hospital of Nanjing Medical University, Jiangsu, Jiangsu, Nanjing, China.
Chao QinOffice of Cancer Screening, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China. qindynasty99@hotmail.com.
Jing HanJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China. hanjing@njmu.edu.cn.

Funding

National Natural Science Foundation of China 81602920National Natural Science Foundation of China 81702686Natural Science Research of Jiangsu Higher Education Institutions of China BK20211383
6 · The paper itself

Abstract

backgroundLung cancer remains a leading cause of cancer-related mortality in urban China, underscoring the urgency of effective screening programs. Despite the proven efficacy of low-dose computed tomography (LDCT) in reducing lung cancer mortality, participation rates among high-risk populations remain suboptimal. This study aspired to determine factors influencing LDCT screening adherence among high-risk individuals in Nanjing, China, as part of the China Urban Cancer Screening Project (CanSPUC).

methodsA cross-sectional study was conducted from 2019 to 2023, involving 52,910 participants aged 45-74 years. High-risk individuals were identified using a modified Harvard Risk Index adjusted for Chinese demographics. Socio-demographic and clinical data were collected via questionnaires and LDCT reports, with missing values imputed via random forest models. Logistic regression was used to determine the factors associated with LDCT screening adherence.

resultsAmong 16,020 high-risk participants, only 45.4% (7,280/16,020) underwent LDCT. Key factors influencing participation included gender (OR = 1.36, 95% CI:1.24-1.49, p < 0.001), education level (OR = 1.18, 95%CI:1.10-1.26, p < 0.001), occupational exposure (OR = 1.20, 95%CI: 1.11-1.29, p < 0.001), current smoking (OR = 1.26, 95%CI:1.13-1.40, p < 0.001), family cancer history (OR = 1.37, 95%CI:1.28-1.46, p < 0.001), and tuberculosis history (OR = 0.84, 95%CI:0.72-0.97, p = 0.022). LDCT detected lung cancer in 0.47% (34/7,280), with semi-positive nodules observed in 43.16% (3,142/7,280) of screened individuals.

conclusionsDespite effective risk stratification, participation in LDCT screening remains low in urban China. Targeted interventions to solve gender disparities, health literacy gaps, and risk communication may be very important to improve the intake rate. Perhaps future efforts should give priority to community-based education, enhanced accessibility, and tailored protocols to reduce lung cancer mortality in high-risk populations.

Indexed as

Early Detection of CancerLung NeoplasmsTomography, X-Ray ComputedUrban PopulationAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsAdherenceEarly detectionHigh-risk population screeningLDCTLung cancer

Identifiers

PMID40691785
PMCPMC12278565

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.