Evidence map›Paper›PMID 42536530›Full record

ArticleMedicine2026

Cancer burden and health inequalities attributable to occupational arsenic exposure: A 32-year global, regional, and national observational study with projections to 2036.

Di Wu, Xinxiao Li, Minghan Luo, Nian Gao, Xiaowei Wang, Ailin Li, Zhe Mo, Zafar Gazala, Shirui Yan, Lei Wu and 2 more

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Di WuKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Xinxiao LiKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Minghan LuoKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Nian GaoKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Xiaowei WangKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Ailin LiKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Zhe MoKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Zafar GazalaKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Shirui YanKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Lei WuKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Rui ZhangKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Junrui PeiKey Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.ORCID 0000-0002-9469-9566

Funding

Heilongjiang Provincial Key Research and Development Program Guidance Project GZ2025113
6 · The paper itself

Abstract

Occupational arsenic exposure (OEA), mainly through inhalation in workplace settings, is an established carcinogenic hazard associated with lung, skin, and bladder cancers. However, long-term trends and the global cancer burden attributable to OEA remain insufficiently characterized. Data from the Global Burden of Disease Study 2021 were used to analyze the cancer burden attributable to OEA from 1990 to 2021. Indicators included summary exposure values (SEVs), deaths, years lived with disability (YLDs), and disability-adjusted life years (DALYs) at global, regional, and national levels. Estimates were reported with 95% uncertainty intervals (UIs) generated from 1000 Monte Carlo simulations. Age-standardized indicators, Joinpoint regression, inequality analysis, decomposition analysis, and frontier analysis were used to assess spatiotemporal trends, drivers, and disparities. Seven forecasting models were evaluated to predict trends from 2022 to 2036. Between 1990 and 2021, global OEA SEV increased from 0.408% to 0.496% (average annual percentage change [AAPC] = 0.288). Cancer deaths rose from 5.5 to 10.5 thousand, YLD from 1.5 to 3.3 thousand, and DALYs from 169.6 to 298.7 thousand. In contrast, age-standardized death rate (AAPC = -0.300) and DALYs rate (AAPC = -0.531) declined. Men bore higher overall burdens, but women experienced faster increases (AAPC 0.428 vs 0.171). High-socio-demographic index (SDI) countries showed continuous improvement, whereas middle- and low-SDI regions-particularly East, South, and Southeast Asia-experienced substantial increases. In East Asia, the AAPCs for age-standardized SEVs, age-standardized death rates, age-standardized YLDs rates, and DALYs rates were 0.953, 1.067, 1.849, and 0.809, respectively. Inequality analysis indicated stable absolute gaps but reduced relative disparities, with burdens still concentrated in low-SDI countries. Decomposition suggested that population growth was the main driver of global burden increases, and frontier analysis highlighted limited improvement potential in low-SDI regions. Forecasting models indicated that the absolute burden of occupational arsenic exposure will continue to rise over the next 15 years. The cancer burden attributable to OEA is still increasing globally, with persistent prevention gaps and socioeconomic disparities. Focused interventions in low- and middle-SDI countries and rapidly industrializing regions are needed, including strengthened occupational exposure regulations, improved workplace arsenic monitoring, engineering controls, personal protective equipment, and regular health surveillance for workers in high-risk industries, to reduce inequalities and mitigate public health threats.

Indexed as

ArsenicHealth Status DisparitiesNeoplasmsOccupational ExposureDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleMiddle AgedOccupational DiseasesQuality-Adjusted Life YearsSocioeconomic Disparities in HealthArsenicarsenicGlobal Burden of Diseaseinequalitymachine learningoccupational exposureprediction

Identifiers

PMID42536530
PMCPMC13433024

What OpenQuestion holds

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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.