Suppr超能文献

资助者通过设计和分析涉及手术的随机试验来改进学习和聚类效应的管理。

Funders improved the management of learning and clustering effects through design and analysis of randomized trials involving surgery.

机构信息

Department of Biostatistics, University of Liverpool, A member of Liverpool Health Partners, Liverpool, UK.

Department of Biostatistics, University of Liverpool, A member of Liverpool Health Partners, Liverpool, UK.

出版信息

J Clin Epidemiol. 2019 Sep;113:28-35. doi: 10.1016/j.jclinepi.2019.05.007. Epub 2019 May 20.

Abstract

OBJECTIVE

The objective of this study was to provide insight into current practice in planning for, and acknowledging, the presence of learning and clustering effects, by treating center and surgeon, when developing randomized surgical trials.

STUDY DESIGN AND SETTING

Complexities associated with delivering surgical interventions, such as clustering effects, by center or surgeon, and surgical learning should be considered at trial design. Main trial publications, within the wider literature, under-report these considerations. Funded applications, within a 4-year period, from a leading UK funding body were searched. Data were extracted on considerations for learning and clustering effects and the driver, funder, or applicant, behind these.

RESULTS

Fifty trials were eligible. Managing learning through establishing predefined center and surgeon credentials was common. One planned exploratory analysis of learning within center, and two within surgeon. Clustering, by site and surgeon, was often managed through stratifying randomization, with 81% and 60%, respectively, also planning to subsequently adjust analysis. One-third of responses to referees contained funder led changes accounting for learning and/or clustering.

CONCLUSION

This review indicates that researchers do consider impact of learning and clustering, by center and surgeon, during trial development. Furthermore, the funder is identified as a potential driver of considerations.

摘要

目的

本研究旨在通过在制定随机手术试验时考虑中心和外科医生的学习和聚类效应,深入了解当前在规划和承认这些效应方面的实践情况。

研究设计和设置

在试验设计时,应考虑到与提供手术干预相关的复杂性,如中心或外科医生的聚类效应和手术学习。在更广泛的文献中,主要的试验出版物对这些考虑因素的报告不足。从英国一个主要的资助机构的 4 年期间内,对资助申请进行了搜索。提取了关于学习和聚类效应的考虑因素以及这些因素背后的推动者、资助者或申请人的信息。

结果

有 50 项试验符合入选标准。通过建立预设的中心和外科医生资格来管理学习是常见的做法。有一项计划对中心内的学习进行探索性分析,还有两项计划对外科医生内的学习进行分析。通过分层随机化来管理站点和外科医生的聚类,分别有 81%和 60%的试验计划随后调整分析。三分之一的对审稿人的回复中包含了由资助者主导的关于学习和/或聚类的更改。

结论

本综述表明,研究人员在试验开发过程中确实考虑了中心和外科医生的学习和聚类效应的影响。此外,资助者被确定为考虑这些因素的潜在驱动力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验