Evidence map›Paper›PMID 38798230›Full record

ArticleThoracic cancer2024

Screening for lung cancer using thin-slice low-dose computed tomography in southwestern China: a population-based real-world study.

Jiaxuan Wu, Ruicen Li, Huohuo Zhang, Qian Zheng, Wenjuan Tao, Ming Yang, Yuan Zhu, Guiyi Ji, Weimin Li

Abstract read
In one paragraph

Article in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. [Advances in radiomics for early diagnosis and precision treatment of lung cancer].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  4. Review
  5. Article
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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

9 authors.

Jiaxuan WuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.ORCID 0009-0000-9694-7212
Ruicen LiHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Huohuo ZhangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Qian ZhengWest China Clinical Medical College, Sichuan University, Chengdu, China.
Wenjuan TaoInstitute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China.
Ming YangNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Yuan ZhuHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Guiyi JiHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-0985-0311

Funding

National Natural Science Foundation of China 92159302Natural Science Foundation of Sichuan Province 2023NSFSC1458Sichuan Province Science and Technology Support Program 2022YFS0130the Science and Technology Project of Sichuan 2022ZDZX0018
6 · The paper itself

Abstract

objectivesLung cancer is one of the most common malignant tumors threatening human life and health. At present, low-dose computed tomography (LDCT) screening for the high-risk population to achieve early diagnosis and treatment of lung cancer has become the first choice recommended by many authoritative international medical organizations. To further optimize the lung cancer screening method, we conducted a real-world study of LDCT lung cancer screening in a large sample of a healthy physical examination population, comparing differences in lung nodules and lung cancer detection between thin and thick-slice LDCT scanning.

methodsA total of 29 296 subjects who underwent low-dose thick-slice CT scanning (5 mm thickness) from January 2015 to December 2015 and 28 058 subjects who underwent low-dose thin-slice CT scanning (1 mm thickness) from January 2018 to December 2018 in West China Hospital were included. The positive detection rate, detection rate of lung cancer, pathological stage of lung cancer, and mortality rate of lung cancer were analyzed and compared between the two groups.

resultsThe positive rate of LDCT screening in the thin-slice scanning group was significantly higher than that in the thick-slice scanning group (20.1% vs. 14.4%, p < 0.001). In addition, the lung cancer detection rate in the thin-slice LDCT screening positive group was significantly higher than that in the thick-slice scanning group (78.0% vs. 52.9%, p < 0.001).

conclusionsThe screening positive rate of low-dose thin-slice CT scanning is higher and more early-stage lung cancer (IA1 stage) can be detected in the screen-positive group.

Indexed as

Early Detection of CancerLung NeoplasmsTomography, X-Ray ComputedAdultAgedChinaFemaleHumansMaleMass ScreeningMiddle AgedRadiation Dosageearly diagnosislow‐dose computed tomographylung cancerpulmonary nodulethin slice scan

Identifiers

PMID38798230
PMCPMC11219290

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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.