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Evaluating a parametric model to correct multiple sclerosis incidence for reporting delay.

机译:评估参数模型以纠正多发性硬化症的发生,以报告延迟。

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Esbjerg et al. [1] developed a framework for correcting current calculations of multiple sclerosis (MS) incidence for two types of reporting delay. Since the publication of their report more than a decade ago, the precise incidence has become available, so that their corrected values may be compared with the actual incidence. The present letter shows that the methods of Esbjerg et al. were remarkably precise in removing the bias due to reporting delay. In Denmark, the incidence of MS is monitored in the Danish MS Registry (DMSR). However, the calculation of current incidence rates is complicated by some administrative delay in reporting cases to the registry but more importantly by the delay between onset and diagnosis of MS. The delay can be several months or years because the diagnostic criteria require that the patient has experienced two attacks separated in time [2] or, nowadays, accumulation of new MRI-lesions with time [3]. Since we only observe people who have received a diagnosis, the crude onset incidence rate will be underestimated especially for the most recent years. In statistical terms, we have to make inference about right truncated data.
机译:Esbjerg等。 [1]开发了一种框架,可针对两种类型的报告延迟校正当前对多发性硬化症(MS)发病率的计算。自从他们的报告发表于十多年前以来,精确的发病率已经可用,因此可以将其校正值与实际发病率进行比较。本信表明,Esbjerg等人的方法。在消除由于报告延迟而产生的偏差方面非常精确。在丹麦,MS的发病率由丹麦MS Registry(DMSR)进行监控。但是,当前发生率的计算由于向登记处报告病例的某些管理上的延迟而变得复杂,但更重要的是,MS的发病与诊断之间的延迟。由于诊断标准要求患者经历两次在时间上分开的发作[2]或如今随着时间的推移会累积新的MRI病变[3],因此延迟可能要几个月或几年。由于我们仅观察已确诊的人,因此特别是最近几年,粗暴发病率将被低估。用统计术语,我们必须推断出正确的截断数据。

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