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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)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Dose-rate Effects ; Meta-analysis ; Radiation Cancer Risk; Nuclear Industry Workers; Solid Cancer; Background-radiation; Variance-estimation; Ionizing-radiation; Mortality; Exposure; Cohort; Metaanalysis; Regression
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 0301-634X
e-ISSN 1432-2099
Zeitschrift Radiation and Environmental Biophysics
Quellenangaben Band: 60, Heft: 3, Seiten: 493-500 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort One New York Plaza, Suite 4600, New York, Ny, United States
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Radiation Medicine (IRM)
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Radiation Sciences
PSP-Element(e) G-501391-001
Förderungen Universitat Zurich
DOI 10.1007/s00411-021-00920-y
WOS ID WOS:000667424000001
Scopus ID 85108832204
PubMed ID 34170393
Erfassungsdatum 2021-07-23
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