ArticleBMC public health2026
Cancer incidence near nuclear facilities in Korea (2005-2022): implications of regional socioeconomic status and industrial context.
Article in BMC public health, 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
8 authors.
Funding
Abstract
backgroundAs nuclear energy expands globally as a low-carbon power source, ongoing public health surveillance remains important for populations residing near nuclear facilities. Although ionizing radiation is an established carcinogen, population-level patterns of cancer incidence near nuclear installations have shown heterogeneity across tumor types and regional settings.
methodsThis nationwide, cross-sectional study used Korea's National Health Information Database (2005-2022), comprising over 103 million person-years of observation from residents living within 30 km of four nuclear power plants and within 10 km of one research reactor. Age-standardized incidence ratios (SIRs) were calculated for 61 tumor types by sex, distance, and facility type using national reference rates. Regional socioeconomic characteristics (education level, occupation, and household income) from the Korea Community Health Survey and proximity to industrial complexes derived from spatial mapping data were examined descriptively to characterize contextual differences across study areas.
resultsCancer incidence patterns varied by facility and tumor type. Elevated SIRs were observed for brain and central nervous system (CNS) tumors (1.41-2.46) and bladder cancer (1.25-1.51) near certain nuclear power plants, and for thyroid (1.07-1.32), breast (1.11-1.21), and CNS tumors (1.56-3.37) near the research reactor. No consistent gradient by residential proximity was observed across sites. Descriptive assessments indicated regional variation in socioeconomic profiles and industrial proximity, with higher educational attainment and household income observed in areas surrounding the research reactor and certain industrialized nuclear power plant regions.
conclusionThis study provides a comprehensive description of cancer incidence patterns among populations living near nuclear facilities in Korea. The findings underscore the importance of careful contextual interpretation when evaluating spatial variation in cancer incidence and support the role of population-based monitoring frameworks, as well as the need for continued refinement of exposure characterization, to inform public health planning.
Indexed as
Identifiers
What Socratic 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 Socratic graph.