Authorship diversity in global evidence synthesis in genitourinary oncology: A 1998-2022 analysis of cochrane reviews.
Notice bibliographique
Résumé
e23006 Background: Women and individuals from low- and lower-middle-income countries (LMICs) are under-represented in oncology literature, particularly in high-impact publications. LMIC clinicians face multipronged barriers to impactful research. Unlike practice guidelines of oncology societies like ASCO, authors worldwide can potentially contribute to genitourinary (GU) oncology-related Cochrane Reviews, a potentially representative sample of global evidence synthesis efforts in the field. However, the state of authorship diversity here is unknown, which this study sought to determine. Methods: We retrospectively searched the Cochrane Database, using the filter “Topic: Urology”, and extracted authorship data for all reviews related to genitourinary cancers, published until 25 July 2022. We divided authors’ national affiliation into either low- and lower-middle-income countries (LMICs) or non-LMICs based on World Bank 2022 classification. For reviews having collaboratives listed as group authors, we treated the collaborative belonging to one country as a single author, instead of analyzing all collaborators separately to prevent data skew from several included individuals. Given the higher accuracy of manual web-searches for ascertaining gender over algorithmic estimation, we utilized the former to achieve ≥90% ascertainment. We endeavored to capture at least one webpage that demonstrated their gender or pronouns, like institutional profile, and used historical gender conventions. Results: A total of 54 GU oncology-related reviews, co-authored by a total of 324 authors, were included. 53 reviews were published by the Cochrane Urology Group, while one review was published by the Cochrane Incontinence Group. Countries with the highest representation of co-authors were the US (24.1%), UK (25.3%), Germany (23.5%), South Korea (6.8%), Australia (6.2%), Netherlands (3.7%), China (2.8%), Canada (2.5%), Brazil (1.5%). No authors were from LMICs. Gender could be ascertained for 94.14% (N = 305/324) of co-authors. Women made up 27.5% (N = 84/305) of co-authors, 16.0% (N = 8/50) of first authors, and 16.89% (N = 9/53) of corresponding authors. Conclusions: Women authors are better-represented in Cochrane Reviews related to genitourinary cancers compared to urology-specific journals, while LMICs were noted to have no representation. Global capacity-building efforts are warranted for enhancing the involvement of LMIC urologists with evidence synthesis. Equitable authorship representation may help expand both the focus and the utilization of high-impact evidence synthesis literature.
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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 | 0,153 | 0,323 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,001 |
| Bibliométrie | 0,002 | 0,010 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».