多发性硬化症复发事件分析:统计模型在MSOAC数据库中的应用综述。

IF 4.8 2区 医学 Q1 CLINICAL NEUROLOGY
David Herman, Julien Tanniou, Emmanuelle Leray, Chloe Pierret, Quentin Pilard
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引用次数: 0

摘要

多发性硬化症(MS)患者容易经历残疾进展和复发的复发事件。许多研究仍然侧重于用Cox比例风险、泊松和逻辑回归等传统方法分析多发性硬化症事件,这些方法要么忽略了后续事件,要么无法解释事件之间的过度分散和依赖性。本研究的目的是进行文献综述,以确定主要的复发事件模型,并随后将这些模型应用于多发性硬化症结局评估联盟(MSOAC)安慰剂数据库。共有9种主要复发事件模型被确定、比较并应用于MSOAC数据库,以评估病程对扩展残疾状态量表(EDSS)变化次数和复发率的影响。重复事件法提供了比传统方法更精确的估计。尽管对临床多发性硬化症结果的共同估计和特定事件估计有相似之处,但对模型产生的参数估计的解释是不同的。医学研究人员应在统计计划中优先考虑复发事件方法,以避免信息丢失,提高估计效果的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing recurrent events in multiple sclerosis: a review of statistical models with application to the MSOAC database.

Patients with multiple sclerosis (MS) are susceptible to experience recurrent events of disability progression and relapses. Many studies still focus on analyzing MS events with traditional methods such as Cox proportional hazards, Poisson, and logistic regression that either ignore subsequent events or fail to account for overdispersion and dependency between events. The aim of this study was to conduct a literature review to identify the main recurrent event models, with subsequent application of these models to the Multiple Sclerosis Outcome Assessments Consortium (MSOAC) placebo database. A total of nine main recurrent event models were identified, compared and applied to the MSOAC database to evaluate the effect of the disease course on the number of changes in the Expanded Disability Status Scale (EDSS) and relapse rate. Recurrent events methods have provided more precise estimates than traditional methods. Despite the similarities in common and event-specific estimates for clinical MS outcomes, the interpretations of the parameter estimates resulting from the models are different. Medical researchers should prioritize recurrent event methods in their statistical plans to avoid information loss and improve the precision of estimated effects.

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来源期刊
Journal of Neurology
Journal of Neurology 医学-临床神经学
CiteScore
10.00
自引率
5.00%
发文量
558
审稿时长
1 months
期刊介绍: The Journal of Neurology is an international peer-reviewed journal which provides a source for publishing original communications and reviews on clinical neurology covering the whole field. In addition, Letters to the Editors serve as a forum for clinical cases and the exchange of ideas which highlight important new findings. A section on Neurological progress serves to summarise the major findings in certain fields of neurology. Commentaries on new developments in clinical neuroscience, which may be commissioned or submitted, are published as editorials. Every neurologist interested in the current diagnosis and treatment of neurological disorders needs access to the information contained in this valuable journal.
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