Global gender representation in neurointerventional surgery: a natural language processing analysis of journal publications.
Background Despite increased awareness of diversity and inclusion in neurointerventional surgery, the representation of women in neurointerventional academic publishing has not been systematically quantified. We aimed to evaluate global and temporal gender trends among authors publishing in leading...
| Publicado en: | Journal of NeuroInterventional Surgery Vol. 18; no. 7; pp. 1690 - 1697 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
BMJ Publishing Group
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195508132&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195508132 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17598478 AZVK jtl: Journal of NeuroInterventional Surgery issn: 17598478 maglogo: N pubinfo: dt: Jul2026 vid: 18 iid: 7 pid: 8280 pub: BMJ Publishing Group artinfo: ui: 195508132 195508132 195508132 10.1136/jnis-2025-023956 195508132 ppf: 1690 ppct: 7 formats: tig: atl: Global gender representation in neurointerventional surgery: a natural language processing analysis of journal publications. aug: au: Renedo, Daniela Koo, Andrew B. Amllay, Abdelaziz Sujijantarat, Nanthiya Fathima, Bushra Haynes, Joseph O. Falcone, Guido J. Sheth, Kevin N. Fadel, Sandra Abi Johnson, Michele H. Hebert, Ryan Rivier, Cyprien Matouk, Charles affil: Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA sug: subj: Natural Language Processing Gender Equality Research Personnel Serial Publications Trends Authorship Trends Sex Factors Scholarly Communication Human Male Female Physicians, Women Neurosurgery Career Mobility Leadership Bibliometrics Artificial Intelligence Gender Bias Trend Studies Women Descriptive Statistics Data Analysis Software Chi Square Test Odds Ratio Confidence Intervals Fisher's Exact Test Sensitivity and Specificity Logistic Regression Manuscripts Data Analysis, Statistical Geographic Factors Study Design Male Female ab: Background Despite increased awareness of diversity and inclusion in neurointerventional surgery, the representation of women in neurointerventional academic publishing has not been systematically quantified. We aimed to evaluate global and temporal gender trends among authors publishing in leading neurointerventional journals using natural language processing (NLP) tools. Methods We used the National Center for Biotechnology Information (NCBI) Entrez and Medline APIs (application programming interfaces) to extract metadata from all articles published between 2014 and 2024 in the Journal of NeuroInterventional Surgery and Interventional Neuroradiology, the only two journals dedicated exclusively to the field of neurointerventional surgery. For each publication, we identified the first and last authors, as well as their institutional affiliations. We applied the OpenAI GPT- 4 API to infer the country of origin based on last author affiliations and to predict gender using first and last names. Results Across 4875 articles published between 2014 and 2024 in two leading neurointerventional surgery journals, female authorship increased modestly over time. In 2014, 10.2% of first authors and 6.1% of last authors were women, compared with 14.2% and 7.6%, respectively, in 2024. A significant upward trend in female first authorship was observed over time using the Cochran-- Armitage test for trend (P=0.0002), with the strongest increases in the Americas and Asia. In contrast, no overall increase was seen in female last authorship (P=0.14), with a modest but significant trend observed only in Asia. Geographic disparities were also evident: Austria and Norway had the highest female last authorship rates (62.5% and 40.0%, respectively), whereas the US, despite contributing the most publications, had only 13.8%. The Gender Parity Index (GPI) further highlighted underrepresentation, with most countries falling well below parity, especially for last authorship. Conclusions Analysis using artificial intelligence driven NLP methods suggests persistent gender inequalities in neurointerventional surgery authorship with variation across countries. Although female representation has improved over the past decade, progress is uneven. These findings underscore the need for targeted efforts to promote equity in academic vascular neurosurgery globally. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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