Sauzet Odile, Kleine Maren, Menzel-Begemann Anke, Exner Anne-Kathrin
AG Epidemiology & International Public Health, School of Public Health, Bielefeld University, PO. Box 10 01 31, 33501, Bielefeld, Germany.
Faculty of Nursing and Health, University of Applied Science, Münster, Leonardo Campus 8, 48149, Münster, Germany.
BMC Neurol. 2015 Jul 1;15:99. doi: 10.1186/s12883-015-0344-y.
The World Health Organisation stresses the need to collect high quality longitudinal data on rehabilitation and to improve the comparability between studies. This implies using all the information available and transparent reporting. We therefore investigated the quality of reported or planned randomised controlled trials on rehabilitation post-stroke with a repeated measure of physical functioning, provided recommendations on the presentation of results using regression parameters, and focused on the difficulties of adjustment for baseline outcome measures.
We performed a systematic review of the literature from 2011 to 2013 and collected information on the way data was analysed. Moreover we described various approaches to analyse the data using mixed models illustrated with real data.
Eighty-four eligible studies were identified of which 61% (51/84) failed to analyse the data longitudinally. Moreover, for 30% (25/83) the method for adjustment for baseline is not known or not existent. Using real data we were able to show how much difference in results an adjustment for baseline data can make. We showed how to provide interpretable intervention effects using regression coefficients while making use of all the information available in the data.
Our review showed that improvements were needed in the analysis of longitudinal trials in rehabilitation post-stroke in order to maximise the use of collected data and improve comparability between studies. Reporting fully the method used (including baseline adjustment) and using methods like mixed models could easily achieve this.
世界卫生组织强调有必要收集高质量的康复纵向数据,并提高研究之间的可比性。这意味着要利用所有可用信息并进行透明报告。因此,我们调查了已报告或计划进行的关于中风后康复的随机对照试验的质量,这些试验对身体功能进行了重复测量,就使用回归参数呈现结果提供了建议,并关注了基线结局指标调整的困难。
我们对2011年至2013年的文献进行了系统综述,并收集了有关数据分析方式的信息。此外,我们描述了使用混合模型分析数据的各种方法,并以实际数据为例进行说明。
共识别出84项符合条件的研究,其中61%(51/84)未对数据进行纵向分析。此外,对于30%(25/83)的研究,基线调整方法未知或不存在。利用实际数据,我们能够展示基线数据调整会使结果产生多大差异。我们展示了如何在利用数据中所有可用信息的同时,使用回归系数提供可解释的干预效果。
我们的综述表明,中风后康复纵向试验的分析需要改进,以便最大限度地利用所收集的数据并提高研究之间的可比性。充分报告所使用的方法(包括基线调整)并使用混合模型等方法可以轻松实现这一点。