Department of Medical Statistics, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom.
Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M6, Canada.
J Cyst Fibros. 2018 Mar;17(2):213-217. doi: 10.1016/j.jcf.2017.11.014. Epub 2018 Feb 2.
Survival statistics, estimated using data collected by national cystic fibrosis (CF) patient registries, are used to inform the CF community and monitor survival of CF populations. Annual registry reports typically give the median age of survival, though different registries use different estimation approaches and terminology, which has created confusion for the community. In this article we explain how median age of survival is estimated, what its interpretation is, and what assumptions and limitations are involved. Information on survival from birth is less useful for individuals who have already reached a certain age and we propose use of conditional survivor curves to address this. We provide recommendations for CF registries with the aim of facilitating clear and consistent reporting of survival statistics. Our recommendations are illustrated using data from the UK Cystic Fibrosis Registry.
生存统计数据是使用国家囊性纤维化 (CF) 患者登记处收集的数据估算得出的,用于为 CF 社区提供信息并监测 CF 人群的生存情况。年度登记报告通常会给出生存的中位年龄,但不同的登记处使用不同的估计方法和术语,这给社区带来了困惑。在本文中,我们解释了如何估计生存的中位年龄,它的解释是什么,以及涉及哪些假设和限制。关于从出生开始的生存信息对于已经达到一定年龄的个体来说用处不大,我们建议使用条件生存曲线来解决这个问题。我们为 CF 登记处提供了建议,旨在促进生存统计数据的清晰和一致报告。我们的建议使用来自英国囊性纤维化登记处的数据来说明。