Evidence map›Paper›PMID 35818719›Full record

ArticleThoracic cancer2022

Investigation on the incidence and risk factors of lung cancer among Chinese hospital employees.

Zi-Hao Chen, Zhi-Yong Chen, Jing Kang, Xiang-Peng Chu, Rui Fu, Jia-Tao Zhang, Yi-Fan Qi, Jing-Hua Chen, Jun-Tao Lin, Ben-Yuan Jiang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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, 6 citations in OpenAlex.

  1. 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

14 authors at 2 institutions in 1 country.

Zi-Hao ChenSchool of Medicine, South China University of Technology, Guangzhou, China.ORCID 0000-0001-6029-1725
Zhi-Yong ChenGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jing KangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xiang-Peng ChuSchool of Medicine, South China University of Technology, Guangzhou, China.
Rui FuSchool of Medicine, South China University of Technology, Guangzhou, China.
Jia-Tao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-4302-9332
Yi-Fan QiSchool of Medicine, South China University of Technology, Guangzhou, China.
Jing-Hua Chen12th People's Hospital of Guangzhou, Guangzhou, China.ORCID 0000-0002-6397-7113
Jun-Tao LinGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Ben-Yuan JiangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xue-Ning YangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yi-Long WuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Wen-Zhao ZhongSchool of Medicine, South China University of Technology, Guangzhou, China.ORCID 0000-0002-8917-8635
Qiang NieSchool of Medicine, South China University of Technology, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNTwelfth Guangzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn recent years, the lung cancer incidence has grown and the population is younger. We intend to find out the true detection rate of pulmonary nodules and the incidence of lung cancer in the population and search for the risk factors.

methodHospital employees ≥40 years old who underwent low-dose computed tomography (CT) lung cancer screening from January 2019 to March 2022 were selected to record CT-imaging characteristics, pathology, staging, and questionnaires to investigate past history, smoking history, diet, mental health, etc. PM2.5 and radiation intake in radiation-related occupation received monitoring in hospital.

resultThe detection rate of suspicious pulmonary nodules was 9.1% (233/2552), and the incidence rate of lung cancer (including adenocarcinoma in situ) was 4.0% (103/2552). Morbidity among doctors, nurses, technicians, administers, and logistics was no difference (p = 0.184), but higher in women than in men (4.7% vs 2.4% p = 0.002). The invasiveness increased with age and CT density of nodules (p = 0.018). The relationship between lung cancer morbidity and PM2.5 was not clear (p = 0.543); and no lung cancer has been found in employees related ionizing radiation.

conclusionThe high screening rate has brought about a high incidence of lung cancer. At present, the risk factor analysis of lung cancer based on small samples cannot find the direct cause. Most of the ground glass opacity (GGO)s detected by LDCT screening are indolent, but there are also rapidly progressive lung cancer. A predictive model to identify active and indolent GGO is necessary.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesAdultChinaEarly Detection of CancerFemaleHospitalsHumansIncidenceMaleRisk Factorsearly screeningionizing radiationPM2.5pulmonary nodulesrisk factors

Identifiers

PMID35818719
PMCPMC9346177
OpenAlexW4285043317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.