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Validation of Short- and Long-term Demographic Forecasts Using the Canadian Cystic Fibrosis Registry
European Respiratory Journal ( IF 16.6 ) Pub Date : 2019-10-24 , DOI: 10.1183/13993003.01667-2019
Vanessa Martelli , Jenna Sykes , Pierre-Régis Burgel , Gil Bellis , Adèle Coriati , Sanja Stanojevic , Anne Louise Stephenson

National cystic fibrosis (CF) data registries track patient characteristics over time and have provided insight into both emerging trends and current clinical needs. In a recent study, Burgel et al. [1] utilised the flow method, a demographic model that predicts future trends in populations, and forecasted a 50% increase in the Western European CF population by 2025, with the adult population experiencing the largest increase. Burgel et al. [2] subsequently used the French registry to validate short-term predictions; however, the accuracy of longer term projections has not been assessed. Based on the results of this study, a model that takes into consideration changing rates over time is needed to accurately estimate future populations http://bit.ly/35IDhQ0

中文翻译:

使用加拿大囊性纤维化登记处验证短期和长期人口统计学预测

国家囊性纤维化 (CF) 数据登记处随着时间的推移跟踪患者特征,并提供对新兴趋势和当前临床需求的洞察。在最近的一项研究中,Burgel 等人。[1] 利用流动方法,一种预测未来人口趋势的人口模型,并预测到 2025 年西欧 CF 人口将增加 50%,其中成年人口的增幅最大。伯格尔等人。[2] 随后使用法国注册表来验证短期预测;然而,长期预测的准确性尚未得到评估。根据这项研究的结果,需要一个考虑到随时间变化的比率的模型来准确估计未来的人口 http://bit.ly/35IDhQ0
更新日期:2019-10-24
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