社交媒体数据及其药监潜力:对药物诱导的牙过度生长 (DIGO) 报告的流行情况进行比较分析
Philipp Friedrich Georg Ried1, Roland Seifert2
1Institute of Pharmacology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany.
Naunyn-Schmiedeberg's archives of pharmacology
|January 22, 2026
概括
药物诱导的牙过度生长 (DIGO) 在某些药物中很常见. 通过比较各种数据来源,发现患病率存在显著差异,突显出需要在官方文档之外进行更广泛的药物安全监测.
科学领域:
- 药理学 药理学是指药理学的学科.
- 牙科 牙科是指牙科的专业.
- 数字健康数字健康
背景情况:
- 药物诱导的牙过度生长 (DIGO) 是一种与常用药物如管阻断剂,抗药和免疫抑制剂相关的显著不良药物反应.
- 由于数据来源和报告方法各不相同,DIGO的流行程度尚未完全理解.
研究的目的:
- 通过各种信息道,比较DIGO的流行率,并确定DIGO的潜在触发因素和治疗方法.
- 评估社交媒体平台在识别和监测DIGO作为药物不良反应方面的实用性.
主要方法:
- 数据收集涉及分析包装说明书,产品特性摘要,科学文献以及来自社交媒体平台 (Facebook,YouTube,X,TikTok,Instagram) 的帖子.
- 关于DIGO触发因子,治疗方法,流行率和原产国的信息被提取并使用每日定义剂量 (DDD) 标准化.
主要成果:
- 观察到DIGO患病率的高度异质分布,因社交媒体平台和国家人口规模而异.
- 比目前公认的更多的药物与DIGO有关,不同来源报告的流行率存在很大差异.
- 人口规模和与DIGO相关的社交媒体帖子比例之间没有线性相关性.
结论:
- 官方药物信息来源 (包装插件,SmPC) 不足以可靠地评估像DIGO这样的药物不良反应 (ADR).
- 社交媒体平台代表了早期ADR识别和市场后药物安全监测的有价值,未得到充分利用的资源.
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