ReviewAnnals of occupational and environmental medicine2026
Reframing welders' parkinsonism: from the "idiopathic" label to biological causation and legal recognition.
Review in Annals of occupational and environmental 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Korea, welders diagnosed with "idiopathic Parkinson's disease (iPD)" often face denial of workers' compensation, as "idiopathic" is interpreted as excluding occupational contribution. This narrative review examines whether a categorical distinction between iPD and "toxic parkinsonism" is defensible on diagnostic, pathological, neuroimaging, epidemiological, causal-inference, and legal grounds. The 2024 NSD-ISS (Neuronal α-synuclein disease Integrated Staging System) and SynNeurGe (Synuclein-Neurodegeneration-Gene) frameworks challenge categorical use of the "idiopathic" label by defining Parkinson's disease (PD)-related disease biologically, irrespective of etiology. Nonhuman primate studies show that chronic low-dose manganese exposure can produce nigrostriatal deficits and α-synuclein aggregation overlapping with PD biology. Dichotomous use of FP-CIT dopamine transporter imaging or levodopa responsiveness to separate manganese poisoning from iPD is therefore scientifically unsound, as chronic welding exposure can induce presynaptic dysfunction and treatment responses indistinguishable from PD. Epidemiological findings diverge methodologically: direct clinical examination has reported elevated parkinsonism prevalence among welders, whereas administrative cohorts have generally found no increased PD risk. This divergence is plausibly explained by differences in case ascertainment, exposure assessment, healthy-worker-survivor selection, and disease latency. Bradford Hill and Rothman frameworks support a causal interpretation, although validated biomarkers and dose-response thresholds remain undefined. Under Korea's Industrial Accident Compensation Insurance Act, causation is evaluated as a "proximate causal relationship" rather than strict scientific proof. A multi-hit model integrating genetic predisposition, aging, and cumulative environmental exposure supports recognition under this standard, and compensation eligibility should not depend on whether the diagnosis label is 'PD' or 'parkinsonism.' When parkinsonian symptoms occur in welders with at least approximately 20,000 exposure-weighted welding hours, or with substantial high-intensity exposure such as confined-space welding, inadequate ventilation, or flux-cored arc welding, occupational contribution should be considered under a weight-of-evidence approach. This criterion is sufficient for recognition but is not a necessary condition.
Indexed as
Identifiers
42487434What OpenQuestion holds
Registered trials
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.