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 Novel...

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Main Authors: Joseph S Ross, Jennifer Miller, Michelle M Mello, Cary P Gross, Deborah Lincow, Catherine Yang, Sydney A Axson
Format: Article
Language:English
Published: BMJ Publishing Group 2021-07-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/11/7/e053248.full
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spelling doaj-af0e2c58447e4055b579b7298fcb912c2021-08-12T10:30:03ZengBMJ Publishing GroupBMJ Open2044-60552021-07-0111710.1136/bmjopen-2021-053248Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysisJoseph S Ross0Jennifer Miller1Michelle M Mello2Cary P Gross3Deborah Lincow4Catherine Yang5Sydney A Axson6Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USADepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USACenter for Health Policy/Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine; Stanford University Law School, Stanford, CA, USA2Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USADepartment of Genetics, Yale University School of Medicine, New Haven, CT, USAUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USAInternal Medicine, Yale University School of Medicine, New Haven, CT, USAObjectives 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.https://bmjopen.bmj.com/content/11/7/e053248.full
collection DOAJ
language English
format Article
sources DOAJ
author Joseph S Ross
Jennifer Miller
Michelle M Mello
Cary P Gross
Deborah Lincow
Catherine Yang
Sydney A Axson
spellingShingle Joseph S Ross
Jennifer Miller
Michelle M Mello
Cary P Gross
Deborah Lincow
Catherine Yang
Sydney A Axson
Clinical trial transparency and data sharing among biopharmaceutical companies and the role of company size, location and product type: a cross-sectional descriptive analysis
BMJ Open
author_facet Joseph S Ross
Jennifer Miller
Michelle M Mello
Cary P Gross
Deborah Lincow
Catherine Yang
Sydney A Axson
author_sort Joseph S Ross
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_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_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_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
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2021-07-01
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.
url https://bmjopen.bmj.com/content/11/7/e053248.full
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