Evidence map›Paper›PMID 42266942›Full record

ReviewFrontiers in medicine2026

Occupational dust exposure and cerebral small vessel disease: a public health perspective on prevention and early detection.

Yinjiao Wang, Shenao Zhang, Lang Chen, Haiyan Zhang, Aihong Cao, Peng Du

Abstract readReview
In one paragraph

Review in Frontiers 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

6 authors.

Yinjiao Wang *Department of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shenao Zhang *Department of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Lang Chen *Department of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Haiyan ZhangDepartment of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Aihong CaoDepartment of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Peng DuDepartment of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational dust exposure represents a modifiable environmental risk factor not only for respiratory diseases but also for accelerated brain aging through its association with cerebral small vessel disease (CSVD). This link poses a significant yet underrecognized public health challenge for aging workforces in industrial settings. This review synthesizes epidemiological and mechanistic evidence supporting the "lung-brain axis"-a proposed pathway through which dust inhalation may contribute to systemic inflammation, blood-brain barrier disruption, and subsequent CSVD pathology. We critically evaluate the central role of multimodal neuroimaging [including advanced Magnetic resonance imaging (MRI) and retinal imaging] in detecting and quantifying these cerebrovascular changes. Furthermore, we highlight the transformative potential of artificial intelligence (AI) in integrating multi-source data for risk prediction and enabling early intervention. This synthesis aims to highlight an emerging occupational health threat and to propose a scalable framework for surveillance and prevention to protect brain health in exposed worker populations. Most available evidence is cross-sectional; prospective studies are needed to establish causality.

Indexed as

artificial intelligencecerebral small vessel diseasecognitive impairmentdust exposureneuroimagingoccupational healthpreventionpublic health

Identifiers

PMID42266942
PMCPMC13243103

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.