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致癌实验中“安全剂量”的估算。

Estimation of "safe doses" in carcinogenic experiments.

作者信息

Hartley H O, Sielken R L

出版信息

Biometrics. 1977 Mar;33(1):1-30.

PMID:843567
Abstract

The statistical methodology for carcinogenic safety testing here developed has the following advantages: (1) Rather than making possibly unwarranted assumptions about a minimum slope in a dose response relationship, the present method represents an objective data based method of estimating "safe" doses. It is applicable to any specified permissible risk (of exceeding the spontaneous rate) and the latter must of course be specified by F.D.A. (2) Although the model which is used for the estimation of safe doses and their lower confidence points is parametric it comprises an adequately large number of parameters to allow for differences in the idiosyncracies of suspected carcinogens, host species and to a limited degree for variations in the experimental protocols. (3) The same computer program will cover the analysis of an experiments in which times to tumor have been recorded as well as experiments in which only tumor incidence rates have been recorded or mixtures of the two. "Better experimentation" is "rewarded" in that the lower confidence limits for the "safe doses" should be higher and more closely approach the true safe dose as the experimental effort increases. (4) The maximum likelihood estimation procedure is sophisticated and has asymptotic optimality properties. It utilizes the latest techniques of "convex programming" and the computer algorithm is straightforward and fast. The methodology proposed here also has the following shortcomings: (1) The model is (multi)parametric. However, it is of the form of the product model for age specific hazard rates which is now widely accepted. (2) Robustness studies on the effect of model breakdown on the estimated safe doses are as yet limited and should be followed up with more extensive studies. (3) Obviously no estimates of "safe doses" can be made if the spontaneous incidence rate is zero and the experimental dose levels have been chosen too small and no tumors have been observed. Similarly if the experimental doses are too small and the tumor incidence rates are all comparable with the spontaneous rate the estimation procedure is afflicted by extremely large errors. The situation improves slightly if the incidence for the highest dose level is higher than that of the lower dose levels which are all approximately equal. In such situations more satisfactory experimental data are needed. Some general recommendations are as follows: (1) Whenever possible it is preferable to record times to tumor and not just incidence rates. However, for experiments of sufficiently long duration necropsies following the varying times of death will provide adequate information on the time dependence of tumor incidence. It may also be advisable to deliberately vary the times of sacrifice to two or three different times. (2) Other considerations being equal it is preferable to have a large number of dose levels rather than more animals per dose level...

摘要

此处开发的致癌安全性测试统计方法具有以下优点

(1) 本方法并非对剂量反应关系中的最小斜率做可能毫无根据的假设,而是一种基于客观数据估计“安全”剂量的方法。它适用于任何指定的可接受风险(超过自发率),当然后者必须由美国食品药品监督管理局指定。(2) 虽然用于估计安全剂量及其较低置信限的模型是参数模型,但它包含足够多的参数,以考虑可疑致癌物、宿主物种特性的差异,并在一定程度上考虑实验方案的变化。(3) 同一个计算机程序将涵盖对记录了肿瘤发生时间的实验、仅记录了肿瘤发生率的实验或两者混合实验的分析。随着实验力度的增加,“安全剂量”的较低置信限应该更高且更接近真实安全剂量,从而“奖励”了“更好的实验”。(4) 最大似然估计程序很复杂,具有渐近最优性。它利用了“凸规划”的最新技术,计算机算法简单且快速。此处提出的方法也有以下缺点:(1) 该模型是(多)参数模型。然而,它是年龄特异性危险率乘积模型的形式,目前已被广泛接受。(2) 关于模型失效对估计安全剂量影响的稳健性研究目前还很有限,应随后进行更广泛的研究。(3) 显然,如果自发发生率为零且实验剂量水平选择过小且未观察到肿瘤,就无法进行“安全剂量”的估计。同样,如果实验剂量过小且肿瘤发生率都与自发率相当,估计程序会受到极大误差的影响。如果最高剂量水平的发生率高于所有大致相等的较低剂量水平的发生率,情况会稍有改善。在这种情况下,需要更令人满意的实验数据。一些一般性建议如下:(1) 只要有可能,最好记录肿瘤发生时间,而不仅仅是发生率。然而,对于持续时间足够长的实验,在不同死亡时间进行尸检将提供关于肿瘤发生率时间依赖性的充分信息。也可能明智的做法是故意将处死时间改为两到三个不同时间。(2) 在其他条件相同的情况下,最好有大量的剂量水平,而不是每个剂量水平有更多的动物……

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