Howren M Bryant, Vander Weg Mark W, Wolinsky Fredric D
Veterans Affairs Iowa City Healthcare System, IA, USA.
J Comp Eff Res. 2014 Mar;3(2):145-54. doi: 10.2217/cer.14.6.
Age-related cognitive decline is common and may affect memory, orientation, attention, abstract thinking and perception, which may lead to substantial difficulties and disabilities in everyday life. Much evidence suggests that computerized cognitive training interventions may mitigate decline by improving neuropsychological outcomes in older adults, but there is clearly a need for large-scale, methodologically rigorous comparative effectiveness trials in the area. This article underscores that need and reviews eight trials that met a set of predetermined criteria before highlighting two novel and complementary analytic methods - big data analytics and network meta-analysis - that may be used to facilitate decisions regarding which cognitive training programs should serve as candidate interventions for large comparative effectiveness trials.
与年龄相关的认知衰退很常见，可能会影响记忆、定向、注意力、抽象思维和感知，这可能会在日常生活中导致极大的困难和残疾。许多证据表明，计算机化认知训练干预可能通过改善老年人的神经心理学结果来减轻衰退，但该领域显然需要大规模、方法严谨的比较有效性试验。本文强调了这一需求，并回顾了八项符合一组预定标准的试验，然后重点介绍了两种新颖且互补的分析方法——大数据分析和网络荟萃分析，它们可用于促进关于哪些认知训练项目应作为大型比较有效性试验的候选干预措施的决策。
