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探讨 ChatGPT 在妇产科中的应用:首批 ChatGPT 相关出版物的文献计量分析。

Exploring the use of ChatGPT in OBGYN: a bibliometric analysis of the first ChatGPT-related publications.

机构信息

The Department of Gynecologic Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Lady Davis Institute for Cancer Research, Jewish General Hospital, McGill University, Quebec, Canada.

出版信息

Arch Gynecol Obstet. 2023 Dec;308(6):1785-1789. doi: 10.1007/s00404-023-07081-x. Epub 2023 May 24.

DOI:10.1007/s00404-023-07081-x
PMID:37222839
Abstract

PURPOSE

Little is known about the scientific literature regarding the new revolutionary tool, ChatGPT. We aim to perform a bibliometric analysis to identify ChatGPT-related publications in obstetrics and gynecology (OBGYN).

STUDY DESIGN

A bibliometric study through PubMed database. We mined all ChatGPT-related publications using the search term "ChatGPT". Bibliometric data were obtained from the iCite database. We performed a descriptive analysis. We further compared IF among publications describing a study vs. other publications.

RESULTS

Overall, 42 ChatGPT-related publications were published across 26 different journals during 69 days. Most publications were editorials (52%) and news/briefing (22%), with only one (2%) research article identified. Five (12%) publications described a study performed. No ChatGPT-related publications in OBGYN were found. The leading journal by the number of publications was Nature (24%), followed by Lancet Digital Health and Radiology (7%, for both). The main subjects of publications were ChatGPT's scientific writing quality (26%) and a description of ChatGPT (26%) followed by tested performance of ChatGPT (14%), authorship and ethical issues (10% for both topics).In a comparison of publications describing a study performed (n = 5) vs. other publications (n = 37), mean IF was lower in the study-publications (mean 6.25 ± 0 vs. 25.4 ± 21.6, p < .001).

CONCLUSIONS

The study highlights main trends in ChatGPT-related publications. OBGYN is yet to be represented in this literature.

摘要

目的

关于新型革命性工具 ChatGPT 的科学文献知之甚少。我们旨在进行文献计量分析,以确定妇产科领域与 ChatGPT 相关的出版物。

研究设计

通过 PubMed 数据库进行文献计量研究。我们使用搜索词“ChatGPT”挖掘所有与 ChatGPT 相关的出版物。文献计量数据来自 iCite 数据库。我们进行了描述性分析。我们进一步比较了描述研究的出版物与其他出版物之间的 IF。

结果

总体而言,在 69 天内,有 42 篇与 ChatGPT 相关的出版物发表在 26 种不同的期刊上。大多数出版物是社论(52%)和新闻/简报(22%),仅发现一篇(2%)研究文章。有 5 篇(12%)出版物描述了一项研究。在妇产科领域没有发现与 ChatGPT 相关的出版物。发表论文数量最多的期刊是《自然》(24%),其次是《柳叶刀数字健康》和《放射学》(均为 7%)。出版物的主要主题是 ChatGPT 的科学写作质量(26%)和对 ChatGPT 的描述(26%),其次是对 ChatGPT 的测试性能(14%)、作者身份和道德问题(两个主题均为 10%)。在比较描述已进行研究的出版物(n=5)与其他出版物(n=37)时,研究出版物的 IF 平均值较低(平均值 6.25±0 与 25.4±21.6,p<0.001)。

结论

该研究强调了与 ChatGPT 相关出版物的主要趋势。妇产科在该文献中尚未得到体现。

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