Evidence map›Paper›PMID 36208308›Full record

ReviewRadiation and environmental biophysics2022

Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies?

Balázs G Madas, Jan Boei, Nora Fenske, Werner Hofmann, Laura Mezquita

Open access · hybridAbstract readReview
In one paragraph

Review in Radiation and environmental biophysics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Non-small-cell lung cancer.Nature reviews. Disease primers · 2024
    Review
  5. Article
  6. Experimental Setups for In Vitro Studies on Radon Exposure in Mammalian Cells-A Critical Overview.International journal of environmental research and public health · 2023
    Review
  7. Article
  8. Article
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

5 authors at 5 institutions in 5 countries.

Balázs G MadasEnvironmental Physics Department, Centre for Energy Research, Budapest, Hungary. balazs.madas@ek-cer.hu.ORCID http://orcid.org/0000-0002-0698-4982
Jan BoeiDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Nora FenskeFederal Office for Radiation Protection, Munich (Neuherberg), Germany.
Werner HofmannBiological Physics, Department of Chemistry and Physics of Materials, University of Salzburg, Salzburg, Austria.ORCID http://orcid.org/0000-0001-8295-0648
Laura MezquitaMedical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain.ORCID http://orcid.org/0000-0003-0936-7338
Federal Office for Radiation Protection · DEHospital Clínic de Barcelona · ESHUN-REN Centre for Energy Research · HULeiden University Medical Center · NLUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to radon progeny results in heterogeneous dose distributions in many different spatial scales. The aim of this review is to provide an overview on the state of the art in epidemiology, clinical observations, cell biology, dosimetry, and modelling related to radon exposure and its association with lung cancer, along with priorities for future research. Particular attention is paid on the effects of spatial variation in dose delivery within the organs, a factor not considered in radiation protection. It is concluded that a multidisciplinary approach is required to improve risk assessment and mechanistic understanding of carcinogenesis related to radon exposure. To achieve these goals, important steps would be to clarify whether radon can cause other diseases than lung cancer, and to investigate radon-related health risks in children or persons at young ages. Also, a better understanding of the combined effects of radon and smoking is needed, which can be achieved by integrating epidemiological, clinical, pathological, and molecular oncology data to obtain a radon-associated signature. While in vitro models derived from primary human bronchial epithelial cells can help to identify new and corroborate existing biomarkers, they also allow to study the effects of heterogeneous dose distributions including the effects of locally high doses. These novel approaches can provide valuable input and validation data for mathematical models for risk assessment. These models can be applied to quantitatively translate the knowledge obtained from radon exposure to other exposures resulting in heterogeneous dose distributions within an organ to support radiation protection in general.

Indexed as

Lung NeoplasmsNeoplasms, Radiation-InducedRadiation ProtectionRadonChildHumansRadiation DosageRadon DaughtersRadonRadon DaughtersCarcinogenesisDosimetryMathematical modellingMolecular mechanismsRadon exposureRisk assessment

Identifiers

PMID36208308
PMCPMC9630403
OpenAlexW4303645636

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.