1998
DOI: 10.1118/1.598210
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The linear no‐threshold dose‐effect relation: Is it relevant to radiation protection regulation?

Abstract: Official radiogenic cancer risk estimates for low-dose, protracted exposure conditions have been based on linear, no-threshold downward extrapolation from medium and high-dose effects among a population of A-bomb survivors, with the application of a downward correction for an assumed reduced biological effectiveness at low doses and low dose rates (DDREF correction). Neither in the follow-up of populations exposed to the high-dose A-bomb flash, nor from epidemiological data after low-dose occupational or medic… Show more

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Cited by 24 publications
(18 citation statements)
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“…This model assumes that the risk of solid cancer incidence at low levels can be extrapolated from linear fits to the risk of cancer incidence at high levels. Although this remains an active area of debate (27,28), several sources have argued that this is a prudent working assumption given the current, limited knowledge of the risks associated with low levels of radiation (29). The risk of cancer incidence is a function of effective dose, sex, and age.…”
Section: Cancer Risk Estimationmentioning
confidence: 99%
“…This model assumes that the risk of solid cancer incidence at low levels can be extrapolated from linear fits to the risk of cancer incidence at high levels. Although this remains an active area of debate (27,28), several sources have argued that this is a prudent working assumption given the current, limited knowledge of the risks associated with low levels of radiation (29). The risk of cancer incidence is a function of effective dose, sex, and age.…”
Section: Cancer Risk Estimationmentioning
confidence: 99%
“…Although peer review may catch obvious flaws or poor writing, it cannot ensure that findings are correct, or even that research is not fraudulent (Broad and Wade 1982). In areas where scientific research, professional meetings, fellowships, and journals are funded through organizations with interests in an established perspective, peer review by orthodox scientists may lead to rejection of studies whose results challenge established assumptions, even if their methodology is appropriate (Nussbaum 1998;Nussbaum and Köhnlein 1994).…”
Section: Discussionmentioning
confidence: 99%
“…Observations of excess cancers, neonatal mortalities, spontaneous abortions, and other diseases have continued to clash with claims by the International Atomic Energy Agency (IAEA), speaking for the United Nations World Health Organization (WHO), that exposures from Chernobyl fallout were orders of magnitude too low to be causally associated with these reported health effects. 16,[31][32][33][34] This contention is based on population dose estimates by UNSCEAR, 6 combined with radiation risk factors for low-dose external exposures adopted by that organization and the ICRP. 8 However, numerous "authoritative" reports on the health legacy of the Chernobyl catastrophe have ignored evidence of serious flaws and gaps in knowledge on which the currently accepted models for population exposure and radiation risk estimates are based.…”
Section: Dissonance Between Assumptions and Evidencementioning
confidence: 99%