Walsh, L.* ; Shore, R.* ; Azizova, T.V.* ; Rühm, W.
On the choice of methodology for evaluating dose-rate effects on radiation-related cancer risks.
Radiat. Environ. Biophys. 60, 493-500 (2021)
Recently, several compilations of individual radiation epidemiology study results have aimed to obtain direct evidence on the magnitudes of dose-rate effects on radiation-related cancer risks. These compilations have relied on meta-analyses of ratios of risks from low dose-rate studies and matched risks from the solid cancer Excess Relative Risk models fitted to the acutely exposed Japanese A-bomb cohort. The purpose here is to demonstrate how choices of methodology for evaluating dose-rate effects on radiation-related cancer risks may influence the results reported for dose-rate effects. The current analysis is intended to address methodological issues and does not imply that the authors recommend a particular value for the dose and dose-rate effectiveness factor. A set of 22 results from one recent published study has been adopted here as a test set of data for applying the many different methods described here, that nearly all produced highly consistent results. Some recently voiced concerns, involving the recalling of the well-known theoretical point—the ratio of two normal random variables has a theoretically unbounded variance—that could potentially cause issues, are shown to be unfounded when aimed at the published work cited and examined in detail here. In the calculation of dose-rate effects for radiation protection purposes, it is recommended that meta-estimators should retain the full epidemiological and dosimetric matching information between the risks from the individual low dose-rate studies and the acutely exposed A-bomb cohort and that a regression approach can be considered as a useful alternative to current approaches.
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Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
Dose-rate Effects ; Meta-analysis ; Radiation Cancer Risk; Nuclear Industry Workers; Solid Cancer; Background-radiation; Variance-estimation; Ionizing-radiation; Mortality; Exposure; Cohort; Metaanalysis; Regression
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Language
english
Publication Year
2021
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HGF-reported in Year
2021
ISSN (print) / ISBN
0301-634X
e-ISSN
1432-2099
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Volume: 60,
Issue: 3,
Pages: 493-500
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Springer
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One New York Plaza, Suite 4600, New York, Ny, United States
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Reviewing status
Peer reviewed
POF-Topic(s)
30203 - Molecular Targets and Therapies
Research field(s)
Radiation Sciences
PSP Element(s)
G-501391-001
Grants
Universitat Zurich
Copyright
Erfassungsdatum
2021-07-23