@文章{信息:doi/10.2196/14809，作者=“Timimi, Farris和Ray, Sara和Jones, Erik和Aase, Lee和Hoffman, Kathleen”，标题=“患者报告的关于他汀类药物，记忆和认知的在线交流的结果:使用在线社区的定性分析”，期刊=“J Med Internet Res”，年=“2019”，月=“11”，日=“28”，卷=“21”，数字=“11”，页=“e14809”，关键词=“社交媒体;羟甲基戊二酰辅酶a还原酶抑制剂;与药物相关的副作用和不良反应;记忆力减退;舞会;药物警戒;infodemiology;infoveillance;背景:在药物开发临床试验中，需要在通过设定资格标准来限制变量和代表一旦批准可能使用产品的更广泛的患者群体之间取得平衡。同样，尽管最近的政策举措侧重于纳入历史上代表性不足的群体，但障碍仍然存在。 These limitations of clinical trials may mask potential product benefits and side effects. To bridge these gaps, online communication in health communities may serve as an additional population signal for drug side effects. Objective: The aim of this study was to employ a nontraditional dataset to identify drug side-effect signals. The study was designed to apply both natural language processing (NLP) technology and hands-on linguistic analysis to a set of online posts from known statin users to (1) identify any underlying crossover between the use of statins and impairment of memory or cognition and (2) obtain patient lexicon in their descriptions of experiences with statin medications and memory changes. Methods: Researchers utilized user-generated content on Inspire, looking at over 11 million posts across Inspire. Posts were written by patients and caregivers belonging to a variety of communities on Inspire. After identifying these posts, researchers used NLP and hands-on linguistic analysis to draw and expand upon correlations among statin use, memory, and cognition. Results: NLP analysis of posts identified statistical correlations between statin users and the discussion of memory impairment, which were not observed in control groups. NLP found that, out of all members on Inspire, 3.1{\%} had posted about memory or cognition. In a control group of those who had posted about TNF inhibitors, 6.2{\%} had also posted about memory and cognition. In comparison, of all those who had posted about a statin medication, 22.6{\%} (P<.001) also posted about memory and cognition. Furthermore, linguistic analysis of a sample of posts provided themes and context to these statistical findings. By looking at posts from statin users about memory, four key themes were found and described in detail in the data: memory loss, aphasia, cognitive impairment, and emotional change. Conclusions: Correlations from this study point to a need for further research on the impact of statins on memory and cognition. Furthermore, when using nontraditional datasets, such as online communities, NLP and linguistic methodologies broaden the population for identifying side-effect signals. For side effects such as those on memory and cognition, where self-reporting may be unreliable, these methods can provide another avenue to inform patients, providers, and the Food and Drug Administration. ", issn="1438-8871", doi="10.2196/14809", url="//www.mybigtv.com/2019/11/e14809/", url="https://doi.org/10.2196/14809", url="http://www.ncbi.nlm.nih.gov/pubmed/31778117" }