首页> 外文期刊>Journal of radiological protection: Official journal of the Society for Radiological Protection >The bystander effect model of Brenner and Sachs fitted to lung cancer data in 11 cohorts of underground miners, and equivalence of fit of a linear relative risk model with adjustment for attained age and age at exposure
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The bystander effect model of Brenner and Sachs fitted to lung cancer data in 11 cohorts of underground miners, and equivalence of fit of a linear relative risk model with adjustment for attained age and age at exposure

机译:布伦纳和萨克斯(Brenner and Sachs)的旁观者效应模型拟合了11个地下矿工群体的肺癌数据,并且线性相关风险模型的拟合当量与调整了达到的年龄和暴露年龄相适应

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Bystander effects following exposure to a-particles have been observed in many experimental systems, and imply that linearly extrapolating low dose risks from high dose data might materially underestimate risk. Brenner and Sachs (2002 Int. J. Radiat. Biol. 78 593-604; 2003 Health Phys. 85 103-8) have recently proposed a model of the bystander effect which they use to explain the inverse dose rate effect observed for lung cancer in underground miners exposed to radon daughters. In this paper we fit the model of the bystander effect proposed by Brenner and Sachs to 11 cohorts of underground miners, taking account of the covariance structure of the data and the period of latency between the development of the first pre-malignant cell and clinically overt cancer. We also fitted a simple linear relative risk model, with adjustment for age at exposure and attained age. The methods that we use for fitting both models are different from those used by Brenner and Sachs, in particular taking account of the covariance structure, which they did not, and omitting certain unjustifiable adjustments to the miner data. The fit of the original model of Brenner and Sachs (with 0 y period of latency) is generally poor, although it is much improved by assuming a 5 or 6 y period of latency from the first appearance of a pre-malignant cell to cancer. The fit of this latter model is equivalent to that of a linear relative risk model with adjustment for age at exposure and attained age. In particular, both models are capable of describing the observed inverse dose rate effect in this data set.
机译:在许多实验系统中都观察到了暴露于a粒子后的旁观者效应,这表明从高剂量数据线性推断低剂量风险可能会严重低估风险。 Brenner and Sachs(2002 Int。J. Radiat。Biol。78 593-604; 2003 Health Phys。85 103-8)最近提出了旁观者效应模型,用于解释旁观者对肺癌的剂量率效应。在暴露于ra气女儿的地下矿工中在本文中,我们考虑到数据的协方差结构以及第一个恶变前细胞的发展与临床上明显的潜伏期之间的关系,将Brenner和Sachs提出的对11名地下矿工的旁观者效应模型拟合癌症。我们还拟合了简单的线性相对风险模型,并调整了接触年龄和成年年龄。我们用于拟合两个模型的方法与Brenner和Sachs所使用的方法不同,特别是考虑到协方差结构(他们没有这样做),并且省略了对矿工数据的某些不合理的调整。布伦纳和萨克斯(Brenner and Sachs)原始模型的拟合度(潜伏期为0 y)通常较差,尽管通过假设从恶变前细胞初次出现到癌变的潜伏期为5或6 y可以大大改善。后一种模型的拟合等效于线性相对风险模型的拟合,其中对暴露时的年龄和达到的年龄进行了调整。特别地,两个模型都能够描述在该数据集中观察到的剂量率反作用。

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