Evidence map›Paper›PMID 42226199›Full record

ReviewJournal of occupational medicine and toxicology (London, England)2026

Welding and brazing fumes and lung cancer risk: a systematic review and meta-analysis.

Yangwoo Kim, Eun Mi Kim, Inah Kim

Abstract readReview
In one paragraph

Review in Journal of occupational medicine and toxicology (London, England), 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

3 authors.

Yangwoo KimDepartment of Occupational and Environmental Medicine, Inha University Hospital, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0003-3205-2780
Eun Mi KimDepartment of Artificial Intelligence, National Health Insurance Service, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0003-4290-5441
Inah KimGraduate School of Public Health, Hanyang University, Seoul, Republic of Korea. inahkim@hanyang.ac.kr.ORCID http://orcid.org/0000-0001-9221-5831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious systematic reviews have adopted binary exposure classifications without characterizing the heterogeneity of welding fume exposures. We aimed to estimate lung cancer risk from welding fumes with systematic exposure characterization by process type, base material, and metal fume component, and to examine evidence for related high-temperature processes.

methodsWe searched PubMed, Embase, and Web of Science through July 2025 for cohort, case-control and other epidemiological studies. Exposure information was systematically extracted from full-text descriptions and classified by welding process, base material, and metal fume component. Separate random-effects meta-analyses were performed for comparative risk and standardized ratio estimates.

resultsOf 86 studies meeting inclusion criteria, 58 were included in quantitative synthesis after excluding 12 overlapping cohorts and 16 high-risk-of-bias studies; 39 comparative risk and 22 standardized ratio studies were analyzed. The pooled relative risk was 1.51 (95% CI: 1.36-1.67; I

conclusionsWelding fume exposure is associated with approximately 50% increased lung cancer risk, with consistent sensitivity analyses. Process-specific analyses suggest elevated risks for GMAW and stainless steel welding, though based on limited data, warranting further investigation alongside prioritized prevention efforts. Data on brazing, soldering, and flame cutting were limited, representing evidence gaps for future research.

trial registrationPROSPERO CRD420251238410.

Indexed as

Lung cancerMeta-analysisOccupational exposureSystematic reviewWelding fume

Identifiers

PMID42226199
PMCPMC13224517

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.