de Pedro J, Rosenqvist U
Neuroepidemiology. 1985;4(3):161-75. doi: 10.1159/000110227.
The study presents a refinement of a preliminary model for estimation of the prevalence of Parkinson's disease (PA) from information on sales of L-dopa derivatives (LDD) and demographic data. The new model made use of a set of age-specific equations describing PA prevalences obtained from historical surveys and local infant mortality rates (IMR). This strategy made it possible to obtain age-specific estimates of PA prevalence and adjust for differences in health services quality. The new model was tested using data from Sardinia and Iceland. The results are in agreement with the field surveys. When the model was tested in Sweden in 1983-1984 using data on age-specific consumption of LDD, the results also validated the model. The new refined model was found to be useful for estimation of age-specific prevalence from available data on total sales of LDD, the population and infant mortality rates.
该研究提出了一种对初步模型的改进方法，该初步模型用于根据左旋多巴衍生物（LDD）的销售信息和人口数据估算帕金森病（PA）的患病率。新模型利用了一组按年龄划分的方程式，这些方程式描述了从历史调查和当地婴儿死亡率（IMR）中获得的PA患病率。这种策略使得能够获得PA患病率的按年龄划分的估计值，并对卫生服务质量的差异进行调整。新模型使用撒丁岛和冰岛的数据进行了测试。结果与实地调查结果一致。1983年至1984年在瑞典使用LDD按年龄划分的消费数据对该模型进行测试时，结果也验证了该模型。发现新的改进模型对于根据LDD总销售额、人口和婴儿死亡率的现有数据估算按年龄划分的患病率很有用。
