Evidence map›Paper›PMID 41229199›Full record

ArticleThoracic cancer2025

Effect of Particulate Matter Pollution on Global Lung Cancer Burden: A Systematic Analysis for the Global Burden of Disease Study 1990-2021.

Yuhao Chen, Xinyue Yang, Hongbin Zhang, Xiuwen Zhang, Zixuan Hu, Zhiqiang Zhang, Yongwen Li, Hongyu Liu, Yaguang Fan, Jun Chen

Abstract read
In one paragraph

Article in Thoracic cancer, 2025. 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
–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

1 citing paper in PubMed.

  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.

Yuhao ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.ORCID https://orcid.org/0009-0009-0207-3768
Xinyue YangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Hongbin ZhangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Xiuwen ZhangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Zixuan HuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Zhiqiang ZhangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Yongwen LiTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Hongyu LiuTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Yaguang FanTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.ORCID https://orcid.org/0000-0001-7246-8858
Jun ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.ORCID https://orcid.org/0000-0001-9552-4429

Funding

Beijing Science and Technology Innovation Medical Development Fundation KC2023-JX-0288-PZ78National Natural Science Foundation of China 82072595National Natural Science Foundation of China 82473191Natural Science Foundation of Tianjin 22JCYBJC00290Natural Science Foundation of Tianjin 23JCZDJC00710Tianjin Health Science and Technology Project TJWJ2022XK005Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-061BTianjin Key Special Project of Public Health Science and Technology 24ZXGZSY00040
6 · The paper itself

Abstract

backgroundLung cancer remains a leading cause of cancer mortality globally, with particulate matter pollution (PMP) identified as a critical environmental risk. This study analyzes long-term trends in age-standardized mortality (ASMR) and disability-adjusted life-year rates (ASDR) for PMP-attributable lung cancer, with projections to 2030.

methodUsing Global Burden of Disease data, we evaluated temporal trends across age, sex, and Sociodemographic Index (SDI) regions through age-period-cohort and Bayesian models.

resultGlobal Trends: PMP-related ASMR/ASDR declined significantly over the study period, while ambient PMP (APMP)-attributable rates increased, contrasting with household air pollution (HAP)-related declines. Age and Sex Disparities: Mortality burden shifted toward older populations, with APMP-related deaths rising sharply in the elderly. Males exhibited faster declines in PMP/HAP-related mortality, whereas females faced steeper increases in APMP-attributable risks. SDI variations: High-middle SDI regions consistently had the highest PMP-related mortality, with ASMR trends reflecting industrialization phases. Projections: PMP-related burdens are expected to rise globally, driven by aging populations and persistent pollution in middle-SDI regions.

conclusionThe escalating burden in vulnerable populations demands urgent interventions, including air quality improvement, tobacco control, and enhanced screening, Notably, China consistently exhibited the world's highest PMP-attributable lung cancer ASMR (13.6 per 100 000 in 1990, declining to 10.1 per 100 000 in 2021). Future strategies must integrate gender-specific risk mitigation and environmental-genetic assessments to address disparities.

Indexed as

Air PollutionEnvironmental ExposureGlobal Burden of DiseaseLung NeoplasmsParticulate MatterAdultAgedDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedParticulate Matterage‐period‐cohort analysisglobal burdenlung cancerparticulate matter pollutionsociodemographic index

Identifiers

PMID41229199
PMCPMC12612555

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LicenceCC BY
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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.