Trends in Female Authorship at American Academy of Otolaryngology-HNS Annual Meetings From 2007 to 2022.

Tatiana Ferraro, Sandhya Ganesan, Annie Arrighi-Allisan, Myra A Zaheer, Sarah Fangmeyer, Sajad Sotudeh, Esther Lee, Neelima Tummala, Punam Thakkar, Sean M Lee, Tiffany Peng Hwa
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Abstract

Objective: 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.

Study design: Retrospective analysis of AAO-HNS annual meeting presentations.

Setting: Abstract data from scientific contributions at AAO-HNS annual meetings.

Methods: 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.

Results: 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.

Conclusion: 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.

2007年至2022年美国耳鼻喉学会年会女性作者趋势
目的:本研究旨在了解美国耳鼻喉头颈外科学会(AAO-HNS)年会海报和口头报告中女性作者的趋势。研究设计:回顾性分析AAO-HNS年会报告。背景:摘要数据来自AAO-HNS年会上的科学贡献。方法:使用ChatGPT 3.5 API预测2007 - 2022年间公开的科学口头和海报展示摘要中作者姓名的性别认同。次要变量包括演示类型(口头或海报演示)、演示主题和作者顺序(第一作者、演示者和资深作者)。探讨了逻辑回归模型,以确定女性作者作为第一作者、主讲人和资深作者参与的概率。结果:我们的分析纳入了从11,850篇摘要中提取的48,877位作者。在所有口头和海报报告中,29%的作者是女性,从2007年的21.2%增加到2022年的37.9% (P结论:女性作者在AAO-HNS年度会议上的代表性从2007年到2022年有所增加,这一点在本研究中由人工智能(AI)生成的作者性别识别中得到了证明。这些趋势反映了耳鼻喉科学员及其导师的人口统计变化。未来的研究探索促进性别多样性的方法对于提高耳鼻喉科研究中各级女性的代表性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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