Early discontinuation and results reporting of robot-assisted surgery studies registered on ClinicalTrials.gov: a research on research study

Author:

Long YoulinORCID,Hu Tengyue,Yang Zixin,Liu Liqin,Lin Yifei,Huang Jin,Du LiangORCID

Abstract

ObjectivesIn this study, we aimed to investigate the characteristics of robot-assisted surgery studies registered on ClinicalTrials.gov and identify factors associated with early trial discontinuation and timely results reporting.DesignWe searched ClinicalTrials.gov to identify interventional studies on robot-assisted surgery on 24 May 2021. All structured information of the potential studies was downloaded and reviewed. A descriptive analysis was performed. Logistic and Cox regression analyses were respectively performed to determine the significance of the association of study characteristics with results reporting and early discontinuation.ResultsA total of 529 interventional studies on robot-assisted surgery were included, with 45 studies reporting results and 54 studies being stopped early. Of the 289 due studies, only 45 (16%) had submitted their results, and only 6 (2%) had submitted their results within the 1-year deadline. Funding source was associated with results reporting: academic funded were 63% less likely than industry to report results (OR=0.37, 95% CI: 0.16 to 0.83, p=0.02). Studies related to device feasibility were associated with greater risk of early discontinuation compared to treatment-related studies (HR=2.30, 95% CI: 1.08 to 4.89, p=0.03). Surprisingly, National Institutes of Health-funded studies were at greater hazard of discontinuation compared to industry-funded studies (HR=3.30, 95% CI: 1.09 to 10.00, p=0.04).ConclusionsThere was poor compliance with results reporting requirements for robot-assisted surgical studies. It is important that investigators remain informed about the regulatory requirements, and should be helped to develop a sense of responsibility for reporting results. Also, they need to ensure the careful design of the study protocol and adequate resources to reduce the risk of early discontinuation.

Funder

the Key Program of Sichuan Provincial Science and Technology Department, China

National Natural Science Foundation of China

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3