Non-compliance with randomised allocation and missing outcome data in randomised controlled trials evaluating surgical interventions: a systematic review

随机对照试验中不遵守随机分配和缺失结局数据对评估外科手术干预的影响:系统评价

阅读:1

Abstract

BACKGROUND: Randomised controlled trials are widely acknowledged as the gold standard in medical research although their validity can be undermined by non-compliance with the randomly allocated treatment and missing data. Due to the nature of the intervention, surgical trials face particular threat to compliance and data collection. For example, ineligibility for the intervention may only become apparent once the operation has commenced. It is unclear how such cases are reported and handled. OBJECTIVE: The objective was to assess non-compliance and missing data in reports of trials of surgical interventions. METHODS: Searches for reports of trials involving at least one surgical procedure and published in 2010 were carried out in the Medical Literature Analysis and Retrieval System Online (MEDLINE(®)). Data on missing data, non-compliance and methods of handling missing data were extracted from full texts. Descriptive data analyses were carried out on the data. RESULTS: Forty-five (55%) studies reported non-compliance with treatment allocation and 52 (63%) reported primary outcome missing data. The median levels of non-compliance and missing data were 2% [IQR (0, 5), range (0-29)] and 6% [IQR (0, 15), range (0-57)], respectively. Fifty-two (63%) studies analysed as randomised, 17 (21%) analysed per protocol and 3 (4%) analysed as treated. Complete case analysis was the most common method used to deal with missing data, 35/52 (67%). CONCLUSIONS: The reporting of non-compliance to allocation and the handling of missing data were typically suboptimal. There is still room for improvement on the use of the CONSORT statement particularly in accounting for study participants. Transparency in reporting would facilitate evidence synthesis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。