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Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis

OBJECTIVES: To examine company characteristics associated with better transparency and to apply a tool used to measure and improve clinical trial transparency among large companies and drugs, to smaller companies and biologics. DESIGN: Cross-sectional descriptive analysis. SETTING AND PARTICIPANTS:...

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Detalles Bibliográficos
Autores principales: Axson, Sydney A, Mello, Michelle M, Lincow, Deborah, Yang, Catherine, Gross, Cary P, Ross, Joseph S, Miller, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291313/
https://www.ncbi.nlm.nih.gov/pubmed/34281933
http://dx.doi.org/10.1136/bmjopen-2021-053248
Descripción
Sumario:OBJECTIVES: To examine company characteristics associated with better transparency and to apply a tool used to measure and improve clinical trial transparency among large companies and drugs, to smaller companies and biologics. DESIGN: Cross-sectional descriptive analysis. SETTING AND PARTICIPANTS: Novel drugs and biologics Food and Drug Administration (FDA) approved in 2016 and 2017 and their company sponsors. MAIN OUTCOME MEASURES: Using established Good Pharma Scorecard (GPS) measures, companies and products were evaluated on their clinical trial registration, results dissemination and FDA Amendments Act (FDAAA) implementation; companies were ranked using these measures and a multicomponent data sharing measure. Associations between company transparency scores with company size (large vs non-large), location (US vs non-US) and sponsored product type (drug vs biologic) were also examined. RESULTS: 26% of products (16/62) had publicly available results for all clinical trials supporting their FDA approval and 67% (39/58) had public results for trials in patients by 6 months after their FDA approval; 58% (32/55) were FDAAA compliant. Large companies were significantly more transparent than non-large companies (overall median transparency score of 95% (IQR 91–100) vs 59% (IQR 41–70), p<0.001), attributable to higher FDAAA compliance (median of 100% (IQR 88–100) vs 57% (0–100), p=0.01) and better data sharing (median of 100% (IQR 80–100) vs 20% (IQR 20–40), p<0.01). No significant differences were observed by company location or product type. CONCLUSIONS: It was feasible to apply the GPS transparency measures and ranking tool to non-large companies and biologics. Large companies are significantly more transparent than non-large companies, driven by better data sharing procedures and implementation of FDAAA trial reporting requirements. Greater research transparency is needed, particularly among non-large companies, to maximise the benefits of research for patient care and scientific innovation.