Evidence map›Paper›PMID 32702787›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2020

[Cancer Screening Program in Urban Kunming of Yunnan: Evaluation of Lung Cancer Risk Assessment and Screening].

Yanping Lin, Jie Ma, Meng Wu, Hai Zhou, Yanni Lu, Yongcun Cen, Zhongqin Yuan, Zechao Mei, Yunchao Huang, Yongchun Zhou

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2020. 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
0.8field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Yanping LinDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Jie MaDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Meng WuDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Hai ZhouDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Yanni LuDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Yongcun CenDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Zhongqin YuanDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Zechao MeiDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Yunchao HuangDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Yongchun ZhouDepartment of Yunnan Cancer Center, Yunnan Cancer Center/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the most common neoplasmas with a poor prognosis and a low 5-year survival rate. Early screening is an important measure for the prevention and treatment of lung cancer. At present, different countries have issued corresponding lung cancer screening guidelines, but China still lacks guidelines based on Chinese population research. Therefore, the National Cancer Center launched a Multi-center Cancer Screening Program in Urban China. This study analyzed the evaluation of lung cancer risk assessment model and screening effect in urban China of Yunnan, so as to explore the evaluation model of high-risk lung cancer population suitable for China's national conditions and develop lung cancer screening guidelines for Chinese.

methodsA questionnaire survey and lung cancer risk assessment were conducted on 165,337 people in 36 street offices in 4 main urban areas of Kunming, Yunnan Province, using cluster sampling method from January 2015 to December 2019. People with high-risk of lung cancer conducted low-dose computed tomography (LDCT) screening of chest. What's more, all participants were followed up by active or passive follow-up.

resultsThere were 264 patients were diagnosed lung cancer by pathology, and the overall incidence of lung cancer was 0.16% (264/165,337). The high-risk group (0.31%, 116/37,914) was higher than the non-high-risk group (0.12%, 148/127,423), and the difference was statistically significant (P<0.001). The incidence of lung cancer in the high-risk group was higher than the non-high-risk group among the male, female, and lower 50-year-old or more than 50-year-old subgroups, with statistical differences (P<0.001), but there was no statistical difference in the group without LDCT screening (P=0.73). The sensitivity of the lung cancer high-risk population assessment model was 43.94% (116/264) and the specificity was 77.10% (127,275/165,073). The early diagnosis rate of the screening group was 72.97% (54/74), which was significantly higher than that of the non-screening group [28.48% (43/151)].

conclusionsThe lung cancer high-risk population assessment model of National Key Public Health Program: Cancer Screening Program in Urban China can detect high-risk populations and improve the early diagnosis rate of lung cancer effectively.

Indexed as

Mass ScreeningAdultAgedChinaCitiesFemaleHumansLung NeoplasmsMaleMiddle AgedRisk AssessmentEffectLung neoplasmsScreeningYunnan

Identifiers

PMID32702787
PMCPMC7406440
OpenAlexW3046004242

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.