TY - JOUR AU - Lardon, Jérémy AU - Abdellaoui, Redhouane AU - Bellet, Florelle AU - Asfari, Hadyl AU - Souvignet, Julien AU - Texier, Nathalie AU - javignet, Marie-Christine AU - Beyens, Marie-Noëlle AU - Burgun, Anita AU - Bousquet, Cédric PY - 2015 DA - 2015/07/10 TI -社交媒体中的药物不良反应识别和提取:A scope Review JO - J Med Internet Res SP - e171 VL - 17 IS - 7kw -药物警戒KW -药物不良反应KW -互联网KW - Web 2.0 KW -社交媒体KW -文本挖掘KW -范围审查KW -不良事件AB -背景:通过传统报告渠道对药物不良反应(adr)报告不足是当前药物警戒系统效率的一个限制。患者在社交媒体上报告的用药经历代表了一种新的数据来源，可能对上市后的安全监测有一定价值。目的:进行范围审查，以探索关于使用社交媒体作为药物警戒的新知识来源的证据的广度。方法:遵循Daubt等人对范围审查的建议。研究问题如下:如何利用社交媒体作为药物上市后监测的数据源?有哪些提取数据的方法?使用这些数据的不同方法是什么?我们向PubMed、Embase和谷歌Scholar查询，提取2014年6月之前发表的相关文章，且没有最低日期限制。两组审稿人独立筛选了选定的研究，并提出了两个综述主题:手动ADR识别(主题1)和从社交媒体自动提取ADR(主题2)。从出版物中收集描述性特征，以创建主题1和主题2的数据库。 Results: Of the 1032 citations from PubMed and Embase, 11 were relevant to the research question. An additional 13 citations were added after further research on the Internet and in reference lists. Themes 1 and 2 explored 11 and 13 articles, respectively. Ways of approaching the use of social media as a pharmacovigilance data source were identified. Conclusions: This scoping review noted multiple methods for identifying target data, extracting them, and evaluating the quality of medical information from social media. It also showed some remaining gaps in the field. Studies related to the identification theme usually failed to accurately assess the completeness, quality, and reliability of the data that were analyzed from social media. Regarding extraction, no study proposed a generic approach to easily adding a new site or data source. Additional studies are required to precisely determine the role of social media in the pharmacovigilance system. SN - 1438-8871 UR - //www.mybigtv.com/2015/7/e171/ UR - https://doi.org/10.2196/jmir.4304 UR - http://www.ncbi.nlm.nih.gov/pubmed/26163365 DO - 10.2196/jmir.4304 ID - info:doi/10.2196/jmir.4304 ER -