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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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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
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author Axson, Sydney A
Mello, Michelle M
Lincow, Deborah
Yang, Catherine
Gross, Cary P
Ross, Joseph S
Miller, Jennifer
author_facet Axson, Sydney A
Mello, Michelle M
Lincow, Deborah
Yang, Catherine
Gross, Cary P
Ross, Joseph S
Miller, Jennifer
author_sort Axson, Sydney A
collection PubMed
description 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.
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spelling pubmed-82913132021-08-05 Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis Axson, Sydney A Mello, Michelle M Lincow, Deborah Yang, Catherine Gross, Cary P Ross, Joseph S Miller, Jennifer BMJ Open Ethics 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. BMJ Publishing Group 2021-07-19 /pmc/articles/PMC8291313/ /pubmed/34281933 http://dx.doi.org/10.1136/bmjopen-2021-053248 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Ethics
Axson, Sydney A
Mello, Michelle M
Lincow, Deborah
Yang, Catherine
Gross, Cary P
Ross, Joseph S
Miller, Jennifer
Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title_full Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title_fullStr Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title_full_unstemmed Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title_short Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
title_sort clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
topic Ethics
url 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
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