Ferraro Tatiana, Ganesan Sandhya, Arrighi-Allisan Annie, Zaheer Myra A, Fangmeyer Sarah, Sotudeh Sajad, Lee Esther, Tummala Neelima, Thakkar Punam, Lee Sean M, Hwa Tiffany Peng
Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.
George Washington University Department of Otolaryngology, Washington, DC, USA.
Otolaryngol Head Neck Surg. 2025 Sep;173(3):626-635. doi: 10.1002/ohn.1316. Epub 2025 Jun 25.
This study aims to trends in female authorship in poster and oral presentations at American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) annual meetings.
Retrospective analysis of AAO-HNS annual meeting presentations.
Abstract data from scientific contributions at AAO-HNS annual meetings.
ChatGPT 3.5 API was used to predict gender identities of author names extracted from publicly available scientific oral and poster presentation abstracts between 2007 and 2022. Secondary variables included presentation type (oral or poster presentation), presentation topic, and authorship order (first author, presenter, and senior author). Logistic regression models were explored to determine the probability of female author participation as first, presenting, and senior author.
Our analysis included 48,877 authors extracted from 11,850 abstracts. For all oral and poster presentations, 29% of authors were female, increasing from 21.2% in 2007 to 37.9% in 2022 (P < .001). Although female authors accounted for 32% of presenters and 31% of first authors, they represented 22% of senior authors. Logistic regression models determined that the probability of female author participation increased by 5% each year; however, there remained a significant gap of 24.2% between male and female author participation in 2022.
Representation of female authors at annual AAO-HNS meetings has increased from 2007 to 2022 as demonstrated by artificial intelligence (AI)-generated gender identification of authors in this study. These trends reflect the changing demographics of otolaryngology trainees and their mentors. Future studies exploring methods to promote gender diversity are crucial for increasing female representation at all levels within otolaryngology research.
本研究旨在探讨美国耳鼻咽喉-头颈外科学会(AAO-HNS)年会上海报展示和口头报告中女性作者的比例变化趋势。
对AAO-HNS年会报告进行回顾性分析。
来自AAO-HNS年会科学贡献的摘要数据。
使用ChatGPT 3.5 API预测2007年至2022年间从公开的科学口头和海报展示摘要中提取的作者姓名的性别身份。次要变量包括报告类型(口头或海报展示)、报告主题和作者顺序(第一作者、报告人、资深作者)。采用逻辑回归模型确定女性作者作为第一作者、报告人、资深作者参与的概率。
我们的分析包括从11850篇摘要中提取的48877名作者。在所有口头和海报展示中,29%的作者为女性,从2007年的21.2%增至2022年的37.9%(P < 0.001)。虽然女性作者占报告人的32%、第一作者的31%,但她们仅占资深作者的22%。逻辑回归模型确定女性作者参与的概率每年增加5%;然而,2022年男性和女性作者的参与率仍存在24.2%的显著差距。
本研究通过人工智能(AI)生成的作者性别识别表明,2007年至2022年间,AAO-HNS年会上女性作者的比例有所增加。这些趋势反映了耳鼻咽喉科受训人员及其导师人口统计学的变化。未来探索促进性别多样性方法的研究对于增加耳鼻咽喉科研究各级别的女性代表性至关重要。