Evidence map›Paper›PMID 40905406›Full record

ArticleCancer medicine2025

Global Burden, Projection, and Inequalities Analysis of Cancer Attributable to Occupational Carcinogen Exposure in Individuals Aged Over 40 Years.

Nanxi Hu, Hui Li, Kaili Yu, Yang Yu, Xiaohua Wu, Xinyi Huang, Hongtao Lin, Shuqing Zou, Jinluan Li

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Nanxi HuDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Hui LiDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Kaili YuDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yang YuDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Xiaohua WuDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Xinyi HuangDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Hongtao LinDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Shuqing ZouDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Jinluan LiDepartment of Quality Control, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-3533-898X

Funding

Fujian Provincial Clinical Research Center for Cancer Radiotherapy and Immunotherapy 2020Y2012Fujian Research and Training Grants for Youth and Middle-aged Leaders in Healthcare (2022) F2227R-LJ01-01Joint Funds for the innovation of science and Technology, Fujian province 2021Y9202Natural Science Foundation of Fujian Province 2025J01221
6 · The paper itself

Abstract

backgroundIn this study, we investigated the global burden, projection, and inequalities of cancer attributable to occupational carcinogen exposure in individuals aged over 40 years.

methodsUsing the Global Burden of Disease 2021 dataset, we examined age-standardized disability-adjusted life years (ASR-DALYs) and deaths associated with cancer attributable to occupational carcinogen exposure. Statistical analyses included: the estimated Annual Percentage Change to assess trends (1990-2021); Bayesian age-period-cohort modeling for projections to 2030 and 2050; decomposition analysis to quantify contributions of aging, population growth, and epidemiological changes; and slope and concentration indices (SII, CI) to evaluate health inequalities by sociodemographic index (SDI).

resultsIn 2021, the global ASR-DALYs attributable to occupational carcinogen exposure were 239.3 per 100,000 (95% uncertainty intervals [UI]: 180.76-300.91), with significant declines found since 1990. The ASR-deaths in the same year were 11.45 per 100,000 (95% UI: 8.57-14.29). By 2050, ASR-DALYs and ASR-deaths are projected to decline to 177.24 and 8.50 per 100,000, respectively. Men exhibited higher DALYs and mortality (3.92 million DALYs, 0.18 million deaths) compared with women. From 1990 to 2021, high SDI regions exhibited the most substantial decline, whereas low-middle SDI regions experienced the highest increase. The most prominent occupational carcinogens were asbestos (ASR-DALYs: 142.36 per 100,000), silica (50.36 per 100,000), and diesel engine exhaust (20.56 per 100,000). Among the seven types of occupational cancers observe, tracheal, bronchial, and lung cancers exhibited the highest ASR-DALY and ASR-deaths. Population growth is the primary contributor to both DALYs and deaths globally, followed by epidemiological changes.

conclusionThis study highlights the declining global burden of cancer due to occupational exposure to carcinogens; however, significant disparities persist. Addressing occupational cancer risk in low-SDI regions and under-researched populations is crucial for reducing this health burden.

Indexed as

CarcinogensNeoplasmsOccupational ExposureAdultAgedBayes TheoremDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedSocioeconomic FactorsCarcinogensasbestoscancer mortalitydisability‐adjusted life yearsGlobal Burden of Diseaselung canceroccupational carcinogen

Identifiers

PMID40905406
PMCPMC12409659

What Socratic holds

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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 Socratic graph.