Evidence map›Paper›PMID 38880922›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2024

[Results of Lung Cancer Screening with Low-dose Computed Tomography 
and Exploration of Risk Factors in Guangzhou].

Xuanzhuang Lu, Qiuxia Qiu, Chunyu Yang, Caichen Li, Jianfu Li, Shan Xiong, Bo Cheng, Chujing Zhou, Xiaoqin Du, Yi Zhang and 3 more

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. An Efficient Dual-Sampling Approach for Chest CT Diagnosis.Journal of multidisciplinary healthcare · 2025
    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.

Xuanzhuang Lu *The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Qiuxia Qiu *The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Chunyu Yang *The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Caichen Li *The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Jianfu LiThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Shan XiongThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Bo ChengThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Chujing ZhouThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Xiaoqin DuThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Yi ZhangGuangzhou Municipal Health Commission, Guangzhou 510080, China.
Jianxing HeThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Wenhua LiangThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Nanshan ZhongThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth of lung cancer incidence and mortality rank first among all cancers in China. Previous lung cancer screening trials were mostly selective screening for high-risk groups such as smokers. Non-smoking women accounted for a considerable proportion of lung cancer cases in Asia. This study aimed to evaluate the outcome of community-based mass screening in Guangzhou and identify the high-risk factors for lung cancer.

methodsResidents aged 40-74 years in Guangzhou were screened with low-dose computed tomography (LDCT) for lung cancer and the pulmonary nodules were classified and managed according to China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2018 version). The detection rate of positive nodules was calculated. Before the LDCT examination, residents were required to complete a "lung cancer risk factors questionnaire". The risk factors of the questionnaire were analyzed by least absolute shrinkage and selection operator (LASSO) penalized Logistic regression analysis.

resultsA total of 6256 residents were included in this study. 1228 positive nodules (19.63%) and 117 lung cancers were confirmed, including 6 cases of Tis, 103 cases of stage I (accounting for 88.03% of lung cancer). The results of LASSO penalized Logistic regression analysis indicated that age ≥50 yr (OR=1.07, 95%CI: 1.06-1.07), history of cancer (OR=3.29, 95%CI: 3.22-3.37), textile industry (OR=1.10, 95%CI: 1.08-1.13), use coal for cooking in childhood (OR=1.14, 95%CI: 1.13-1.16) and food allergy (OR=1.10, 95%CI: 1.07-1.13) were risk factors of lung cancer for female in this district.

conclusionsThis study highlighted that numerous early stages of lung cancer cases were detected by LDCT, which could be applied to screening of lung cancer in women. Besides, age ≥50 yr, personal history of cancer, textile industry and use coal for cooking in childhood are risk factors for women in this district, which suggested that it's high time to raise the awareness of early lung cancer screening in this group.

Indexed as

Early Detection of CancerLung NeoplasmsTomography, X-Ray ComputedAdultAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesEarly detectionLow-dose CTLung neoplasmsRisk factors

Identifiers

PMID38880922
PMCPMC11183313

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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.