Hook E B
School of Public Health, University of California, Berkeley 94720.
Teratology. 1990 Feb;41(2):177-84. doi: 10.1002/tera.1420410209.
In many jurisdictions large data sets on malformations are now collected routinely in order to define prevalence rates of malformations in infants and children, to detect long-term secular trends, and to ascertain cases for ad hoc case-control studies. With slight modifications, these data sets may be used for prompt surveillance of changes in the birth prevalence of malformations, changes that conceivably could be possibly due to the introduction of a teratogen into the environment. A specific logistic approach is suggested, modeled on the New York State Malformation Registry, for prompt detection of changes in rates.
在许多司法管辖区,现在常规收集关于畸形的大型数据集,以便确定婴儿和儿童畸形的患病率,检测长期的长期趋势,并为临时病例对照研究确定病例。稍加修改,这些数据集可用于对畸形出生患病率的变化进行快速监测,这些变化可能是由于环境中引入了致畸剂所致。建议采用一种特定的逻辑方法,以纽约州畸形登记处为模型,用于快速检测发病率的变化。