Evidence map›Paper›PMID 40329282›Full record

ArticleBMC public health2025

Determining the effects of social-environmental factors on the incidence and mortality of lung cancer in China based on remote sensing and GIS technology during 2007-2016.

Bin Xie, Jingwen Wang, Chunhui Wang, Dongjiu Zhao, Yanhua Kang, Hongping Yin, Zhe Lu

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Bin Xie *School of Information Science and Technology, Hangzhou Normal University, Hangzhou, 311121, China.
Jingwen Wang *School of Information Science and Technology, Hangzhou Normal University, Hangzhou, 311121, China.
Chunhui WangNatural Resources and Planning Bureau of Tongxiang, Tongxiang, 314599, China.
Dongjiu ZhaoSchool of Basic Medical Sciences, Hangzhou Normal University, 2318thYuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Yanhua KangSchool of Basic Medical Sciences, Hangzhou Normal University, 2318thYuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Hongping YinSchool of Basic Medical Sciences, Hangzhou Normal University, 2318thYuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Zhe LuSchool of Basic Medical Sciences, Hangzhou Normal University, 2318thYuhangtang Road, Yuhang District, Hangzhou, 311121, China. zhelu@hznu.edu.cn.

Funding

the National Natural Science Foundation of China 31200581the Natural Science Foundation of Zhejiang Province LY15H160068
6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related death in China. However, its relationship with social-environmental factors has not been revealed comprehensively. We are the first group to determine cold and hot spots associated with the incidence and mortality of lung cancer (IMLC) in both females and males and their spatiotemporal changes and to explore the social‒environmental burden of lung cancer in China between 2007 and 2016.

methodsThe explanatory powers of various social-environmental factors for the IMLC were evaluated through correlation analysis and the Geodetector tool. Spatial analysis models were applied to determine the relationships between the IMLC and social-environmental factors.

resultsThe results are as follows: (1) The distribution of the IMLC exhibited significant spatial heterogeneity; the Global Moran's index values for incidence ranged from 0.04-0.2 and 0.09-0.33 in males and females, respectively, and the values for mortality ranged from 0.01-0.12 and 0.11-0.32 in males and females, respectively. (2) The IMLC was spatially clustered with an overall positive autocorrelation. Male population-related hot spots were observed in the central-southern region of China, and cold spots were observed in western China. Female population-related hot spots were observed primarily in northeastern China. The cold spots occurred primarily in southern and some western regions of China. (3) The effects of social-environmental factors on the IMLC showed significant spatial and temporal variability: in males, the interaction between terrain undulation and road area exhibited the highest explanatory power for the incidence and mortality, with a value of 0.22 for both; in females, the interaction between O

conclusionsThe influence of each social‒environmental factor on the IMLC showed significant spatiotemporal variability, providing a systematic basis for governments to implement better targeted control of lung cancer.

Indexed as

Geographic Information SystemsLung NeoplasmsRemote Sensing TechnologyChinaFemaleHumansIncidenceMaleMiddle AgedSocial FactorsSpatial AnalysisSpatio-Temporal AnalysisCold and hot spotsGTWRGWRLung cancerOLSSocial–environmental factorsSpatial autocorrelationSpatiotemporal moving trajectoryStandard deviation ellipse

Identifiers

PMID40329282
PMCPMC12054078

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LicenceCC BY-NC-ND
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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.