首页> 外文期刊>International Journal of Behavioral Nutrition and Physical Activity >Testing for baseline differences in randomized controlled trials: an unhealthy research behavior that is hard to eradicate
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Testing for baseline differences in randomized controlled trials: an unhealthy research behavior that is hard to eradicate

机译:在随机对照试验中测试基线差异:一种难以根除的不健康的研究行为

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Background According to the CONSORT statement, significance testing of baseline differences in randomized controlled trials should not be performed. In fact, this practice has been discouraged by numerous authors throughout the last forty years. During that time span, reporting of baseline differences has substantially decreased in the leading general medical journals. Our own experience in the field of nutrition behavior research however, is that co-authors, reviewers and even editors are still very persistent in their demand for these tests. The aim of this paper is therefore to negate this demand by providing clear evidence as to why testing for baseline differences between intervention groups statistically is superfluous and why such results should not be published. Discussion Testing for baseline differences is often propagated because of the belief that it shows whether randomization was successful and it identifies real or important differences between treatment arms that should be accounted for in the statistical analyses. Especially the latter argument is flawed, because it ignores the fact that the prognostic strength of a variable is also important when the interest is in adjustment for confounding. In addition, including prognostic variables as covariates can increase the precision of the effect estimate. This means that choosing covariates based on significance tests for baseline differences might lead to omissions of important covariates and, less importantly, to inclusion of irrelevant covariates in the analysis. We used data from four supermarket trials on the effects of pricing strategies on fruit and vegetables purchases, to show that results from fully adjusted analyses sometimes do appreciably differ from results from analyses adjusted for significant baseline differences only. We propose to adjust for known or anticipated important prognostic variables. These could or should be pre-specified in trial protocols. Subsequently, authors should report results from the fully adjusted as well as crude analyses, especially for dichotomous and time to event data. Summary Based on our arguments, which were illustrated by our findings, we propose that journals in and outside the field of nutrition behavior actively adopt the CONSORT 2010 statement on this topic by not publishing significance tests for baseline differences anymore.
机译:背景根据CONSORT声明,不应在随机对照试验中对基线差异进行显着性检验。实际上,在过去的四十年中,许多作者不鼓励这种做法。在这段时间内,领先的普通医学期刊对基线差异的报告已大大减少。然而,我们在营养行为研究领域的经验是,合著者,审稿人甚至编辑仍然非常需要这些测试。因此,本文的目的是通过提供明确的证据来消除这种需求,这些证据表明,为什么统计上干预组之间的基线差异测试是多余的,以及为何不应该发表此类结果。讨论通常会进行基线差异的测试,因为人们认为它表明了随机化是否成功,并且它确定了在统计分析中应考虑的治疗组之间的实际差异或重要差异。尤其是后一种说法是有缺陷的,因为它忽略了以下事实:变量的预后强度在关注混淆的调整时也很重要。另外,将预后变量作为协变量包括在内可以提高效果估计的准确性。这意味着基于针对基线差异的显着性检验选择协变量可能会导致重要协变量的遗漏,并且更不重要的是,会在分析中包括无关的协变量。我们使用了四个超市试验中有关定价策略对水果和蔬菜购买的影响的数据,表明完全调整后的分析结果有时确实与仅针对重大基线差异进行调整后的结果明显不同。我们建议调整已知或预期的重要预后变量。这些可以或应该在试验方案中预先指定。随后,作者应报告经过充分调整的分析以及粗略的分析结果,尤其是二分法和事件发生时间数据。总结基于我们的论据(我们的发现表明了这一观点),我们建议营养行为领域内外的期刊通过不再发布针对基线差异的显着性检验,来积极采用关于该主题的CONSORT 2010声明。

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