Evidence map›Paper›PMID 40875263›Full record

ArticleRadiation protection dosimetry2025

Age- and sex-specific cancer risk predictions for some important radionuclides in a Swedish population-use of the updated ORNL computation method for chronic exposure.

Martin Andersson, Richard W Leggett, Keith Eckerman, Sören Mattsson

Abstract read
In one paragraph

Article in Radiation protection dosimetry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

4 authors.

Martin AnderssonDepartment of Radiation Physics, Sahlgrenska Cancer Center, University of Gothenburg, Sahlgrenska Universitetssjukhuset, Gula stråket 2B, Göteborg 41345, Sweden.
Richard W LeggettCenter for Radiation Protection Knowledge, Oak Ridge National Laboratory, 1505 White Oak Ave, Lenoir City, TN 37771, United States.
Keith EckermanCenter for Radiation Protection Knowledge, Oak Ridge National Laboratory, 1505 White Oak Ave, Lenoir City, TN 37771, United States.
Sören MattssonMedical Radiation Physics Malmö, Department of Translational Medicine, Lund University, Skåne University Hospital, SUS Malmö, Inga Marie Nilssons gata 47, Malmö SE-205 02, Sweden.

Funding

Swedish Radiation Safety Authority SSM2018-2163
6 · The paper itself

Abstract

Radiation dosimetry and cancer risk estimations are central to virtually all radiation safety applications, optimization, and research. These estimates relate to various exposure situations including planned, existing, and emergency situations. The International Commission on Radiological Protection (ICRP) has developed a new methodology to handle the dosimetry of an acute/single intake of radionuclides. To expand this to a chronic exposure over a lifetime or during shorter periods, Oak Ridge National Laboratory (ORNL) applies a methodology based on the ICRP primary data with additional lifetime population-based radiogenic cancer risk estimations involving age- and gender-specific intake rates and organ specific cancer risk models. The releases of unwanted artificial radionuclides in the environment could have a big impact on society, both locally and globally. Such an exposure may occur over an extended time period, and the derived cancer risk coefficients should reflect that possibility. In the present study, cancer risk coefficients are calculated for the Swedish population for 14C, 137Cs, 90Sr, 131I, and 60Co, for internal exposure through air, food, and water and external exposure from air, water, surface, and soil.

Indexed as

Neoplasms, Radiation-InducedRadiation ExposureRadioisotopesAdolescentAdultAgedAge FactorsChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedRadiation DosageRadiation MonitoringRadioisotopes

Identifiers

PMID40875263
PMCPMC12392900

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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.