Evidence map›Paper›PMID 40777651›Full record

ArticleFrontiers in public health2025

Spatial patterns and temporal trends of tracheal, bronchus, and lung cancer attributed to particulate matter pollution in Asia and its 34 countries and territories, 1990-2021.

Minxia Yang, Feng Xuan, Liejiong Wang, Ying Lou, Shengjian Yu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 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

5 authors.

Minxia YangDepartment of Radiology, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Feng XuanDepartment of Radiation Oncology, Zhuji Affiliated Hospital of Wenzhou Medical University, Shaoxing, Zhejiang, China.
Liejiong WangDepartment of Radiation Oncology, Zhuji Affiliated Hospital of Wenzhou Medical University, Shaoxing, Zhejiang, China.
Ying LouDepartment of Medical Oncology, Zhuji Affiliated Hospital of Wenzhou Medical University, Shaoxing, Zhejiang, China.
Shengjian YuDepartment of Radiation Oncology, Zhuji Affiliated Hospital of Wenzhou Medical University, Shaoxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate the spatial and temporal variations of tracheal, bronchus, and lung cancer (TBLC) attributable to particulate matter pollution across 34 Asian countries and territories from 1990 to 2021. Methods: Disability-adjusted life years (DALYs) linked to ambient particulate-matter pollution (APMP) and household air pollution (HAP) were obtained from the Global Burden of Disease (GBD) 2021 dataset, and performed analyses stratified by location, gender, and age. Trends in age-standardized DALY rates (ASDRs) were quantified with Joinpoint regression. Decomposition analysis was applied to identify the contributions of population aging, population growth, and epidemiological changes to the alterations in DALYs. Results: From 1990 to 2021, APMP-related ASDR increased significantly in Asia, while HAP-related ASDR declined. In 2021, East Asia recorded the greatest APMP-associated DALYs across five GBD regions, while both South Asia and East Asia bore the heaviest HAP-related burden. China reported the highest absolute DALYs for each pollutant. Population aging and growth accounted for most of the increase in APMP-related DALYs in Asia, whereas epidemiological change chiefly explained the reduction in HAP-related DALYs. ASDRs were consistently higher in males, with wider sex disparities for APMP-related ASDR. Middle-aged and older adult populations were the most vulnerable age groups. Conclusion: Although TBLC burden attributable to HAP has fallen, disease linked to APMP remains a pressing public-health concern. Coordinated regional action and targeted interventions, particularly for men and older individuals, are essential to reduce pollution-driven TBLC across Asia.

Indexed as

Air PollutionBronchial NeoplasmsEnvironmental ExposureLung NeoplasmsParticulate MatterTracheal NeoplasmsAdultAgedAsiaDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedSpatio-Temporal AnalysisParticulate Matterambient particulate matter pollutionAsiadisability-adjusted life yearsglobal burden of diseasehousehold air pollutionjoinpoint regression modellung cancer

Identifiers

PMID40777651
PMCPMC12328408

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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.