The state of individual participant data sharing for the highest-revenue medicines.

IF 2.2 3区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Clinical Trials Pub Date : 2024-10-15 DOI:10.1177/17407745241286147
Natansh D Modi, Lee X Li, Jessica M Logan, Michael D Wiese, Ahmad Y Abuhelwa, Ross A McKinnon, Andrew Rowland, Michael J Sorich, Ashley M Hopkins
{"title":"The state of individual participant data sharing for the highest-revenue medicines.","authors":"Natansh D Modi, Lee X Li, Jessica M Logan, Michael D Wiese, Ahmad Y Abuhelwa, Ross A McKinnon, Andrew Rowland, Michael J Sorich, Ashley M Hopkins","doi":"10.1177/17407745241286147","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Amid growing emphasis from pharmaceutical companies, advocacy groups, and regulatory bodies for sharing of individual participant data, recent audits reveal limited sharing, particularly for high-revenue medicines. Therefore, this study aimed to assess the individual participant data-sharing eligibility of clinical trials supporting the Food and Drug Administration approval of the top 30 highest-revenue medicines for 2021.</p><p><strong>Methods: </strong>A cross-sectional analysis was conducted on 316 clinical trials supporting approval of the top 30 revenue-generating medicines of 2021. The study assessed whether these trials were eligible for individual participant data sharing, defined as being publicly listed on a data-sharing platform or confirmed by the trial sponsors as in scope for independent researcher individual participant data investigations. Information was gathered from various sources including ClinicalTrials.gov, the European Union Clinical Trials Register, and PubMed. Key factors such as the trial phase, completion dates, and the nature of the data-sharing process were also examined.</p><p><strong>Results: </strong>Of the 316 trials, 201 (64%) were confirmed eligible for sharing, meaning they were either publicly listed on a data-sharing platform or confirmed by the trial sponsors as in scope for independent researcher individual participant data investigations. A total of 102 (32%) were confirmed ineligible, and for 13 (4%), the sponsor indicated that a full research proposal would be required to determine eligibility. The analysis also revealed a higher rate of individual participant data sharing among companies that utilized independent platforms, such as Vivli, for managing their individual participant data-sharing process. Trials not marked as completed had significantly lower eligibility for individual participant data sharing.</p><p><strong>Conclusion: </strong>This study highlights that a substantial portion of trials for top revenue-generating medicines are eligible for individual participant data sharing. However, challenges persist, particularly for trials that are marked as ongoing and for trials where the sharing processes are managed internally by pharmaceutical companies. Data-sharing rates could be improved by adopting open-access individual participant data-sharing models or using independent platforms. Standardizing policies to facilitate immediate individual participant data availability for approved medicines is necessary.</p>","PeriodicalId":10685,"journal":{"name":"Clinical Trials","volume":" ","pages":"17407745241286147"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Trials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/17407745241286147","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Amid growing emphasis from pharmaceutical companies, advocacy groups, and regulatory bodies for sharing of individual participant data, recent audits reveal limited sharing, particularly for high-revenue medicines. Therefore, this study aimed to assess the individual participant data-sharing eligibility of clinical trials supporting the Food and Drug Administration approval of the top 30 highest-revenue medicines for 2021.

Methods: A cross-sectional analysis was conducted on 316 clinical trials supporting approval of the top 30 revenue-generating medicines of 2021. The study assessed whether these trials were eligible for individual participant data sharing, defined as being publicly listed on a data-sharing platform or confirmed by the trial sponsors as in scope for independent researcher individual participant data investigations. Information was gathered from various sources including ClinicalTrials.gov, the European Union Clinical Trials Register, and PubMed. Key factors such as the trial phase, completion dates, and the nature of the data-sharing process were also examined.

Results: Of the 316 trials, 201 (64%) were confirmed eligible for sharing, meaning they were either publicly listed on a data-sharing platform or confirmed by the trial sponsors as in scope for independent researcher individual participant data investigations. A total of 102 (32%) were confirmed ineligible, and for 13 (4%), the sponsor indicated that a full research proposal would be required to determine eligibility. The analysis also revealed a higher rate of individual participant data sharing among companies that utilized independent platforms, such as Vivli, for managing their individual participant data-sharing process. Trials not marked as completed had significantly lower eligibility for individual participant data sharing.

Conclusion: This study highlights that a substantial portion of trials for top revenue-generating medicines are eligible for individual participant data sharing. However, challenges persist, particularly for trials that are marked as ongoing and for trials where the sharing processes are managed internally by pharmaceutical companies. Data-sharing rates could be improved by adopting open-access individual participant data-sharing models or using independent platforms. Standardizing policies to facilitate immediate individual participant data availability for approved medicines is necessary.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
收入最高的药品的个人参与者数据共享情况。
背景:在制药公司、倡导团体和监管机构日益强调共享受试者个人数据的同时,最近的审计显示共享数据有限,尤其是高收入药物。因此,本研究旨在评估支持美国食品和药物管理局批准 2021 年收入最高的前 30 种药品的临床试验的个体参与者数据共享资格:对支持 2021 年收入最高的 30 种药品审批的 316 项临床试验进行了横向分析。研究评估了这些试验是否符合个体参与者数据共享的条件,即在数据共享平台上公开列出或经试验申办者确认属于独立研究人员个体参与者数据调查范围。研究人员从各种渠道收集信息,包括 ClinicalTrials.gov、欧盟临床试验注册中心和 PubMed。此外,还对试验阶段、完成日期和数据共享过程的性质等关键因素进行了研究:在316项试验中,有201项(64%)被确认符合共享条件,这意味着这些试验要么在数据共享平台上公开列出,要么经试验发起人确认属于独立研究人员对个体参与者数据进行调查的范围。共有 102 个项目(32%)被确认为不符合条件,13 个项目(4%)的发起人表示需要一份完整的研究计划书才能确定是否符合条件。分析还显示,在利用 Vivli 等独立平台管理个人参与者数据共享流程的公司中,个人参与者数据共享率较高。未标注为已完成的试验的个人参与者数据共享资格明显较低:本研究强调,大部分创收最高的药品试验都符合个体参与者数据共享的条件。然而,挑战依然存在,尤其是那些被标注为正在进行的试验和由制药公司内部管理共享流程的试验。通过采用开放式个人参与者数据共享模式或使用独立平台,可以提高数据共享率。有必要对政策进行标准化,以促进已批准药物的个人参与者数据的即时可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical Trials
Clinical Trials 医学-医学:研究与实验
CiteScore
4.10
自引率
3.70%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Clinical Trials is dedicated to advancing knowledge on the design and conduct of clinical trials related research methodologies. Covering the design, conduct, analysis, synthesis and evaluation of key methodologies, the journal remains on the cusp of the latest topics, including ethics, regulation and policy impact.
期刊最新文献
Challenges in conducting efficacy trials for new COVID-19 vaccines in developed countries. Society for Clinical Trials Data Monitoring Committee initiative website: Closing the gap. A comparison of computational algorithms for the Bayesian analysis of clinical trials. Comparison of Bayesian and frequentist monitoring boundaries motivated by the Multiplatform Randomized Clinical Trial. Efficient designs for three-sequence stepped wedge trials with continuous recruitment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1