Suppr超能文献

使用机器学习方法研究《英国医学杂志》社论投稿的发表中的性别和民族差异:一项观察性研究。

Gender and ethnic differences in publication of BMJ letters to the editor: an observational study using machine learning.

机构信息

Barts Health NHS Trust, London, UK.

Farr Institute of Health Informatics Research, University College London, London, UK.

出版信息

BMJ Open. 2020 Dec 21;10(12):e037269. doi: 10.1136/bmjopen-2020-037269.

Abstract

OBJECTIVES

To analyse the relationship between first author's gender and ethnicity (estimated from first name and surname), and chance of publication of rapid responses in the (BMJ). To analyse whether other features of the rapid response account for any gender or ethnic differences, including the presence of multiple authors, declaration of conflicts of interests, the presence of Twitter handle, word count, reading ease, spelling and grammatical mistakes, and the presence of references.

DESIGN

A retrospective observational study.

SETTING

Website of the BMJ (BMJ.com).

PARTICIPANTS

Publicly available rapid responses submitted to BMJ.com between 1998 and 2018.

MAIN OUTCOME MEASURES

Publication of a rapid response as a letter to the editor in the BMJ.

RESULTS

We analysed 113 265 rapid responses, of which 8415 were published as letters to the editor (7.4%). Statistically significant univariate correlations were found between odds of publication and first author estimated gender and ethnicity, multiple authors, declaration of conflicts of interest, the presence of Twitter handle, word count, reading ease, spelling and grammatical mistakes, and the presence of references. Multivariate analysis showed that first author estimated gender and ethnicity predicted publication after taking into account the other factors. Compared to white authors, black authors were 26% less likely to be published (OR: 0.74, CI: 0.57-0.96), Asian and Pacific Islander authors were 46% less likely to be published (OR: 0.54, CI: 0.49-0.59) and Hispanic authors were 49% less likely to be published (OR: 0.51, CI: 0.41-0.64). Female authors were 10% less likely to be published (OR: 0.90, CI: 0.85-0.96) than male authors.

CONCLUSION

Ethnic and gender differences in rapid response publication remained after accounting for a broad range of features, themselves all predictive of publication. This suggests that the reasons for the differences of these groups lies elsewhere.

摘要

目的

分析第一作者的性别和种族(根据名字和姓氏估算)与《英国医学杂志》(BMJ)中快速回复发表的可能性之间的关系。分析快速回复的其他特征是否会导致任何性别或种族差异,包括是否有多个作者、是否声明利益冲突、是否有 Twitter 处理、字数、易读性、拼写和语法错误,以及是否有参考文献。

设计

回顾性观察研究。

设置

BMJ 网站(BMJ.com)。

参与者

1998 年至 2018 年期间在 BMJ.com 上提交的公开快速回复。

主要观察指标

快速回复作为信件在 BMJ 上发表。

结果

我们分析了 113265 篇快速回复,其中 8415 篇作为信件发表(7.4%)。第一作者性别和种族、多个作者、利益冲突声明、是否有 Twitter 处理、字数、易读性、拼写和语法错误以及参考文献的存在与发表概率存在显著的单变量相关性。多变量分析表明,在考虑其他因素后,第一作者的性别和种族预测了发表情况。与白人作者相比,黑人作者的发表可能性低 26%(OR:0.74,95%CI:0.57-0.96),亚裔和太平洋岛民作者的发表可能性低 46%(OR:0.54,95%CI:0.49-0.59),西班牙裔作者的发表可能性低 49%(OR:0.51,95%CI:0.41-0.64)。女性作者发表的可能性比男性作者低 10%(OR:0.90,95%CI:0.85-0.96)。

结论

在考虑了广泛的特征后,快速回复发表的种族和性别差异仍然存在,而这些特征本身都可以预测发表。这表明这些群体差异的原因在其他方面。

相似文献

3
Ethnicity and gender trends of UK authors in and the over the past two decades: a comprehensive longitudinal analysis.
EClinicalMedicine. 2023 Sep 7;64:102174. doi: 10.1016/j.eclinm.2023.102174. eCollection 2023 Oct.
8
Racial and ethnic differences in reconstructive surgery for apical vaginal prolapse.
Am J Obstet Gynecol. 2021 Oct;225(4):405.e1-405.e7. doi: 10.1016/j.ajog.2021.05.002. Epub 2021 May 10.
9
Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits.
JAMA Psychiatry. 2021 Jul 1;78(7):726-734. doi: 10.1001/jamapsychiatry.2021.0493.
10
Associations of Race/Ethnicity and Food Insecurity With COVID-19 Infection Rates Across US Counties.
JAMA Netw Open. 2021 Jun 1;4(6):e2112852. doi: 10.1001/jamanetworkopen.2021.12852.

引用本文的文献

1
China and the U.S. produce more impactful AI research when collaborating together.
Sci Rep. 2024 Nov 19;14(1):28576. doi: 10.1038/s41598-024-79863-5.
2
Ethnicity and gender trends of UK authors in and the over the past two decades: a comprehensive longitudinal analysis.
EClinicalMedicine. 2023 Sep 7;64:102174. doi: 10.1016/j.eclinm.2023.102174. eCollection 2023 Oct.
4
Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations.
Proc Natl Acad Sci U S A. 2023 Mar 28;120(13):e2215324120. doi: 10.1073/pnas.2215324120. Epub 2023 Mar 20.

本文引用的文献

1
Comparison and benchmark of name-to-gender inference services.
PeerJ Comput Sci. 2018 Jul 16;4:e156. doi: 10.7717/peerj-cs.156. eCollection 2018.
2
A Deep Learning Approach to Antibiotic Discovery.
Cell. 2020 Feb 20;180(4):688-702.e13. doi: 10.1016/j.cell.2020.01.021.
3
Predicting scheduled hospital attendance with artificial intelligence.
NPJ Digit Med. 2019 Apr 12;2:26. doi: 10.1038/s41746-019-0103-3. eCollection 2019.
4
Big data and machine learning algorithms for health-care delivery.
Lancet Oncol. 2019 May;20(5):e262-e273. doi: 10.1016/S1470-2045(19)30149-4.
5
Last Place? The Intersection of Ethnicity, Gender, and Race in Biomedical.
AEA Pap Proc. 2018 May;108(5):222-227. doi: 10.1257/pandp.20181111.
6
Clinically applicable deep learning for diagnosis and referral in retinal disease.
Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13.
7
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.
Sci Rep. 2018 Jul 26;8(1):11242. doi: 10.1038/s41598-018-29523-2.
8
Looking inward at gender issues.
Science. 2017 Jan 27;355(6323):329. doi: 10.1126/science.aam8109.
9
Implicit Racial Bias in Medical School Admissions.
Acad Med. 2017 Mar;92(3):365-369. doi: 10.1097/ACM.0000000000001388.
10
Women in Academic Medicine Leadership: Has Anything Changed in 25 Years?
Acad Med. 2016 Aug;91(8):1053-6. doi: 10.1097/ACM.0000000000001281.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验