Liu Yingxin, Lip Gregory Y H, Zhang Jingyi, Bai Xuerui, Li Jianfeng, Thabane Lehana, Van Spall Harriette G C, Li Guowei
Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Liverpool Centre for Cardiovascular Sciences at University of Liverpool, Liverpool John Moores University, Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.
Sci Data. 2025 Jul 15;12(1):1239. doi: 10.1038/s41597-025-05510-x.
Many cardiovascular disease (CVD) journals request data sharing statements upon trial report submission, but their compliance in publishing these statements remains unclear. We therefore performed a quantitative analysis to evaluate the current practice of the publications of data sharing statements in clinical trials by CVD journals, which included 78 CVD journals that published clinical trials from Jan 2019 to Dec 2022 and had data sharing statement request. Multivariable logistic regression analysis was used to examine the association between journal characteristics and journals' publications of statements. We also ran an online qualitative survey by sending anonymous questionnaires to editors-in-chief from CVD journals for their opinions on journals' publications of statements, trying to further explore why the journals did not publish statements. Their perspectives could provide in-depth information on and new insights into promoting publications of data sharing statements. This quantitative and qualitative analysis assessing the current practice of publishing data sharing statements by CVD journals, may generate new evidence to promote the actual data sharing and transparency in CVD trials.
许多心血管疾病（CVD）期刊在试验报告提交时要求提供数据共享声明，但其在发表这些声明方面的合规情况仍不明确。因此，我们进行了一项定量分析，以评估CVD期刊在临床试验中发表数据共享声明的当前做法，该分析纳入了78种在2019年1月至2022年12月期间发表过临床试验且有数据共享声明要求的CVD期刊。采用多变量逻辑回归分析来检验期刊特征与期刊发表声明之间的关联。我们还通过向CVD期刊的主编发送匿名问卷进行了一项在线定性调查，以了解他们对期刊发表声明的看法，试图进一步探究期刊不发表声明的原因。他们的观点可以为促进数据共享声明的发表提供深入信息和新见解。这项评估CVD期刊发表数据共享声明当前做法的定量和定性分析，可能会产生新的证据，以促进CVD试验中的实际数据共享和透明度。
