宾夕法尼亚大学研究团队利用人工智能技术分析了超过40万条Reddit帖子，发现使用Ozempic、Wegovy、Mounjaro和Zepbound等GLP-1药物的用户报告了可能在临床试验中被忽视的症状。1这项研究涵盖了近70000名用户5年以上的数据，其中约44%的用户描述至少经历过一种副作用。1
在报告副作用的用户中，近4%的人描述了生殖系统症状，包括月经周期改变、月经间期出血、月经过多和月经周期不规则，这一比例在女性专属样本中会更高。1用户还报告了身体温度相关症状，如寒颤、感觉异常寒冷、潮热和类似发热的症状，疲劳则成为数据中第二常见的投诉。1
研究人员强调，这些发现并未证明药物直接导致这些症状。1宾夕法尼亚大学工程与应用科学学院的Sharath Chandra Guntuku表示："我们发现的一些副作用，如恶心，是众所周知的，这表明该方法正在捕捉真实信号。"1该研究还指出，虽然临床试验通常能识别药物最危险的副作用，但可能无法找到患者最关心的症状。1这项研究已发表于《Nature Health》期刊2026年第1卷第8期。1
Researchers at the University of Pennsylvania have employed artificial intelligence to analyze over 400,000 Reddit posts spanning more than five years, identifying potential side effects of GLP-1 medications including Ozempic, Wegovy, Mounjaro, and Zepbound that may have been overlooked in clinical trials.1 The analysis, which drew from discussions by nearly 70,000 users, revealed that approximately 44% described experiencing at least one adverse effect.1 Notable among the findings were reproductive symptoms reported by close to 4% of users who mentioned side effects, including menstrual cycle changes, breakthrough bleeding, heavy menstruation, and irregular periods.1 Temperature-related complaints were also prevalent, with users describing chills, unusual coldness, hot flashes, and fever-like symptoms.1 Fatigue emerged as the second most commonly reported complaint in the Reddit dataset.1
The research team emphasized that while these patterns merit further investigation, the findings do not establish causation.1 Sharath Chandra Guntuku noted that some identified side effects, such as nausea, align with known reactions, indicating the methodology is capturing genuine signals.1 According to Lyle Ungar, clinical trials typically identify a drug's most serious adverse effects but may miss symptoms that matter most to patients.1 The study was published in Nature Health, Volume 1, Issue 8, in 2026.1
评论
还没有评论，欢迎留下第一条。