Suppr超能文献

药理学与社交媒体:药物提及分析的网络论坛的潜力与偏见——以法国为例的案例研究。

Pharmacology and social media: Potentials and biases of web forums for drug mention analysis-case study of France.

机构信息

Sorbonne Université and Université Paris 13, France.

CHU University Hospital of Saint-Etienne, France.

出版信息

Health Informatics J. 2020 Jun;26(2):1253-1272. doi: 10.1177/1460458219865128. Epub 2019 Sep 30.

Abstract

The aim of this study is to analyze drug mentions in web forums to evaluate the utility of this data source for drug post-marketing studies. We automatically annotated over 60 million posts extracted from 21 French web forums. Drug mentions detected in this corpus were matched to drug names in a French drug database (Theriaque). Our analysis showed that a high proportion of the most frequent drug mentions in the selected web forums correspond to drugs that are usually prescribed to young women, such as combined oral contraceptives. The most mentioned drugs in our corpus correlated weakly to the most prescribed drugs in France but seemed to be influenced by events widely reported in traditional media. In this article, we conclude that web forums have high potential for post-marketing drug-related studies, such as pharmacovigilance, and observation of drug utilization. However, the bias related to forum selection and the corresponding population representativeness should always be taken into account.

摘要

本研究旨在分析网络论坛中的药物提及,以评估该数据源在药物上市后研究中的效用。我们自动标注了从 21 个法国网络论坛中提取的超过 6000 万条帖子。在该语料库中检测到的药物提及与法国药物数据库(Theriaque)中的药物名称相对应。我们的分析表明,在所选择的网络论坛中最常出现的药物提及中,很大一部分是通常开给年轻女性的药物,如复方口服避孕药。我们语料库中提到最多的药物与法国最常开的药物相关性较弱,但似乎受到传统媒体广泛报道的事件的影响。在本文中,我们得出结论,网络论坛在药物上市后研究方面具有很高的潜力,如药物警戒和药物利用观察。然而,应该始终考虑到与论坛选择相关的偏差和相应的代表性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验