Literature DB >> 2020737

The shape of the cancer mortality dose-response curve for the A-bomb survivors.

D A Pierce1, M Vaeth.   

Abstract

The shape of the dose-response curve for cancer mortality in the A-bomb survivor data is analyzed in the context of linear-quadratic models. Results are given for all cancers except leukemia as a group, for leukemia, and for combined inferences assuming common curvature. Since there is substantial information aside from these data suggesting a dose-response curve with upward curvature, the emphasis here is not on estimating the best-fitting dose-response curve, but rather on assessing the maximum curvature under linear-quadratic models which is consistent with the data. The apparent shape of the dose-response curve is substantially affected by imprecision in the dose estimates, and methods are applied to correct for this. The extent of curvature can be expressed as the factor by which linear risk estimates from these data should be divided to arrive at appropriate estimates of risk at low doses. Influential committees have in the past recommended ranges of 1.5-4 and of 2-10 for such a factor. Results here suggest that values greater than about 2.0-2.5 are at least moderately inconsistent with these data, within the context of linear-quadratic models. It is emphasized, however, that there is little direct information in these data regarding risks following low doses; the inferences here depend strongly on the assumption of a linear-quadratic model.

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Year:  1991        PMID: 2020737

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  12 in total

1.  Flexible dose-response models for Japanese atomic bomb survivor data: Bayesian estimation and prediction of cancer risk.

Authors:  James Bennett; Mark P Little; Sylvia Richardson
Journal:  Radiat Environ Biophys       Date:  2004-11-25       Impact factor: 1.925

2.  Projecting radiation-induced cancer risks across time and populations.

Authors:  C R Muirhead
Journal:  Soz Praventivmed       Date:  1991

3.  Risks associated with low doses and low dose rates of ionizing radiation: why linearity may be (almost) the best we can do.

Authors:  Mark P Little; Richard Wakeford; E Janet Tawn; Simon D Bouffler; Amy Berrington de Gonzalez
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

4.  Dose and dose rate extrapolation factors for malignant and non-malignant health endpoints after exposure to gamma and neutron radiation.

Authors:  Van Tran; Mark P Little
Journal:  Radiat Environ Biophys       Date:  2017-09-22       Impact factor: 1.925

5.  Radiation cancer risk at different dose rates: new dose-rate effectiveness factors derived from revised A-bomb radiation dosimetry data and non-tumor doses.

Authors:  Hiroshi Tanooka
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

Review 6.  Epidemiologic studies of ionizing radiation and cancer: past successes and future challenges.

Authors:  J M Samet
Journal:  Environ Health Perspect       Date:  1997-06       Impact factor: 9.031

7.  Curvilinearity in the dose-response curve for cancer in Japanese atomic bomb survivors.

Authors:  M P Little; C R Muirhead
Journal:  Environ Health Perspect       Date:  1997-12       Impact factor: 9.031

8.  Threshold and other departures from linear-quadratic curvature in the non-cancer mortality dose-response curve in the Japanese atomic bomb survivors.

Authors:  Mark P Little
Journal:  Radiat Environ Biophys       Date:  2004-06-19       Impact factor: 1.925

Review 9.  Do non-targeted effects increase or decrease low dose risk in relation to the linear-non-threshold (LNT) model?

Authors:  M P Little
Journal:  Mutat Res       Date:  2010-01-25       Impact factor: 2.433

Review 10.  Methodologic research needs in environmental epidemiology: data analysis.

Authors:  R L Prentice; D Thomas
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

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