Evidence map›Paper›PMID 40594686›Full record

ArticleScientific reports2025

Historical data analysis and future prediction of lung cancer in Zhejiang province, China.

Yang Gao, Mengqi Zhang, Guangyuan Liu, Huiyue Lin, Hong Huang, Hongli Xie

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Yang GaoSchool of Public Health, Fudan University, Shanghai, China.
Mengqi ZhangSchool and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, China.
Guangyuan LiuSchool of Public Health, Wenzhou Medical University, Wenzhou, China.
Huiyue LinHospital of Integrated Traditional Chinese and Western Medicine Affiliated to Wenzhou MedicalUniversity, Wenzhou, China.
Hong HuangSchool of Public Health, Wenzhou Medical University, Wenzhou, China.
Hongli XieInstitute for Public Policy and Social Development, Wenzhou Medical University, Chashan Street Higher Education Park, Ouhai District, Wenzhou, 325035, Zhejiang, China. Wz.xhl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental factors have known to cause lung cancer. However, the relationship between lung cancer and the environmental factors are not well explored or quantified. Using Zhejiang Province of China as a case study, the spatiotemporal distribution of lung cancer and associated environmental factors were investigated. The data of lung cancer were obtained from Zhejiang Cancer Registry Annual Report and China Cancer Registry Annual Report from 2000 to 2022. The environmental factors are derived from China County Statistical Yearbook and so on. The JoinPoint, SaTScan, spatial autocorrelation technologies and spatial regression models were used to investigate the spatiotemporal clustering, spatial distribution characteristics analysis and correlation of environmental factors of lung cancer. The incidences of lung cancer in Zhejiang Province increased over time, most incidences occurred in the north and became less so in the south of the province, showing a spatial aggregation distribution. The increase of urbanization rate has increased the incidence of lung cancer, and the proportion of environment-related lung adenocarcinoma has increased year by year. The spatial regression model showed that the incidence of lung cancer was negatively correlated with vegetation index, and positively correlated with annual average per capita GDP. There was spatial heterogeneity in the distribution of lung cancer incidence in Zhejiang Province, China, and the areas with high incidence were located in areas with high degree of industrialization and urbanization. Vegetation and urbanization rate have an impact on the incidence of lung cancer.

Indexed as

Lung NeoplasmsChinaFemaleHistory, 21st CenturyHumansIncidenceMaleRegistriesSpatio-Temporal AnalysisUrbanizationChinaEnvironmental pollutionLung cancerOne health

Identifiers

PMID40594686
PMCPMC12218021

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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.