8 research outputs found

    Impact of Uncertainties in Exposure Assessment on Thyroid Cancer Risk among Persons in Belarus Exposed as Children or Adolescents Due to the Chernobyl Accident.

    No full text
    The excess incidence of thyroid cancer in Ukraine and Belarus observed a few years after the Chernobyl accident is considered to be largely the result of 131I released from the reactor. Although the Belarus thyroid cancer prevalence data has been previously analyzed, no account was taken of dose measurement error.We examined dose-response patterns in a thyroid screening prevalence cohort of 11,732 persons aged under 18 at the time of the accident, diagnosed during 1996-2004, who had direct thyroid 131I activity measurement, and were resident in the most radio-actively contaminated regions of Belarus. Three methods of dose-error correction (regression calibration, Monte Carlo maximum likelihood, Bayesian Markov Chain Monte Carlo) were applied.There was a statistically significant (p<0.001) increasing dose-response for prevalent thyroid cancer, irrespective of regression-adjustment method used. Without adjustment for dose errors the excess odds ratio was 1.51 Gy- (95% CI 0.53, 3.86), which was reduced by 13% when regression-calibration adjustment was used, 1.31 Gy- (95% CI 0.47, 3.31). A Monte Carlo maximum likelihood method yielded an excess odds ratio of 1.48 Gy- (95% CI 0.53, 3.87), about 2% lower than the unadjusted analysis. The Bayesian method yielded a maximum posterior excess odds ratio of 1.16 Gy- (95% BCI 0.20, 4.32), 23% lower than the unadjusted analysis. There were borderline significant (p = 0.053-0.078) indications of downward curvature in the dose response, depending on the adjustment methods used. There were also borderline significant (p = 0.102) modifying effects of gender on the radiation dose trend, but no significant modifying effects of age at time of accident, or age at screening as modifiers of dose response (p>0.2).In summary, the relatively small contribution of unshared classical dose error in the current study results in comparatively modest effects on the regression parameters

    Parameter estimates and 95% profile likelihood-based confidence intervals (95% CI) (or 95% Bayesian credible intervals (BCI)) for analysis of curvature in fits of excess odds ratio model (1) with or without adjustment for dose errors using regression calibration, for various sets of doses.

    No full text
    <p><sup>a</sup>unless otherwise stated all <i>p</i>-values refer to the improvement in fit of the current row in the Table with that of the model fitted in the row immediately above.</p><p><sup>b</sup><i>p</i>-value of improvement in fit compared with a model with linear-exponential dose terms.</p><p><sup>c</sup><i>p</i>-value of improvement in fit compared with a model with no dose terms.</p><p><sup>d</sup>deviance information criterion [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139826#pone.0139826.ref024" target="_blank">24</a>].</p><p><sup>e</sup>posterior distribution maximum probability estimate.</p><p><sup>f</sup>95% Bayesian credibility interval (BCI).</p><p>All models have underlying rates adjusted for age (treated categorically), gender and oblast.</p
    corecore