Authorship characteristics of hematology and oncology education chapters: A comprehensive analysis.
Notice bibliographique
Résumé
460 Background: Gender and geographic disparities in academic medicine, along with conflict of interest in medical education, necessitate examination for promoting equity and inclusivity in hematology and oncology education. This study presents the first analysis of authors' gender, authorship country diversity, and conflict of interest status in the American Society of Clinical Oncology (ASCO) and the American Society of Hematology (ASH) educational books. Methods: A cross-sectional analysis was conducted on articles from ASCO, encompassing all volumes from 2012 up to 2022 and ASH educational books including all volumes from 2000 up to 2022. Author information was obtained from the ASCO and ASH educational book websites. Results: The analysis encompassed 2,784 articles. Females accounted for 44.2% of first authors and 37.6% of last authors in ASCO educational books, as well as 38.8% of first authors and 38.5% of last authors in ASH educational books. Among educational articles, the lowest female participation was in articles discussing colorectal cancer (26.7%), followed by global health (28.0%) and tumor biology (31.0%). The number of females first and last authors in ASCO and ASH educational articles increased significantly over time (p < 0.001). The presence of international authors in articles remained relatively stable. Among articles with international female first authors, Canada had the highest proportion (24.4%), followed by the UK (18.4%) and Italy (11.0%). Similarly, for international female last authors, Canada ranked highest (26.2%), followed by the UK (20.5%) and Italy (12.0%). Repeated authorship roles along with diversity of authorship institutions will be further investigated. Of the articles analyzed, 59.6% reported at least one author with a conflict of interest, while 26.7% reported no conflict of interest for any author. Information on conflict of interest was not provided in 13.7% of the articles. Research funding was the most common type of conflict of interest (47.7%), followed by honoraria (33.4%) and travel accommodations and expenses (15.8%). The prevalence of conflicts of interest increased slightly over time, but not significantly. Conclusions: Our study suggests that female authorship has increased significantly over time. International authorship remained stable, with Canada having the highest proportion. To build on this positive momentum, it is essential to continue our efforts in further increasing female representation, promoting transparency in conflict-of-interest reporting, and mitigating potential biases in medical education.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».