Evidence map›Paper›PMID 40924151›Full record

ArticleRadiation and environmental biophysics2025

The role of individual characteristics of human subjects on the radiation burden of the bronchial airways from radon progeny.

Péter Füri, Árpád Farkas, Werner Hofmann, Balázs G Madas

Abstract read
In one paragraph

Article in Radiation and environmental biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Péter FüriEnvironmental Physics Department, Institute for Energy Security and Environmental Safety, HUN-REN Centre for Energy Research, Budapest, Hungary. peter.furi@ek.hun-ren.hu.
Árpád FarkasEnvironmental Physics Department, Institute for Energy Security and Environmental Safety, HUN-REN Centre for Energy Research, Budapest, Hungary.
Werner HofmannDepartment of Chemistry and Physics, Paris Lodron University, Salzburg, Austria.
Balázs G MadasEnvironmental Physics Department, Institute for Energy Security and Environmental Safety, HUN-REN Centre for Energy Research, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variability in radiation-related health risk and genetic susceptibility to radiation effects within a population is a key issue for radiation protection. Besides differences in the health and biological effects of the same radiation dose, individual variability may also affect dose distribution and its consequences for the same exposure. As exposure to radon progeny affects a large population and has a well-established dose-effect relationship, investigating individual variability upon radon exposure may be particularly important. Using the Stochastic Lung Model combined with mucociliary clearance and alpha-particle microdosimetry models, deposition rates and absorbed dose rates were determined for a healthy adult, a 5-year-old child, and an adult with severe asthma. The results show that children receive significantly higher absorbed dose rates in basal and secretory cell nuclei than healthy adults, despite lower deposition rates, due to smaller airways and thinner mucus layers. For individuals with severe asthma, both deposition rates and dose rates are higher due to airway contraction and slower mucus clearance, although increased mucus thickness reduces absorbed dose rates. These findings demonstrate that anatomical and physiological differences significantly influence absorbed doses in the lungs upon radon exposure and highlight the importance of accounting for individual variability in radiation protection and risk assessment.

Indexed as

BronchiRadonRadon DaughtersAdultAsthmaChild, PreschoolFemaleHumansMaleModels, BiologicalMucociliary ClearanceRadiation DosageRadonRadon DaughtersIndividual sensitivityInternal microdosimetryParticle depositionRadon progenyStochastic lung model

Identifiers

PMID40924151
PMCPMC12700972

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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.