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脊柱随机对照试验中基线分类变量和值的准确性与分布

Accuracy and distribution of baseline categorical variables and -values in spine randomized controlled trials.

作者信息

Bolland Mark J, Avenell Alison, Grey Andrew

机构信息

Department of Medicine, University of Auckland, Private Bag 92 019, Auckland 1142, New Zealand.

Department of Endocrinology, ADHB, Private Bag 92 024, Auckland 1142, New Zealand.

出版信息

R Soc Open Sci. 2025 Jan 15;12(1):240170. doi: 10.1098/rsos.240170. eCollection 2025 Jan.

Abstract

Levayer and colleagues assessed integrity issues in randomized controlled trials (RCTs) in four spine journals using baseline -values from categorical variables, concluding that there was no evidence of 'systemic fraudulent behaviour'. We used their published dataset to assess the accuracy of reported -values and whether observed and expected distributions of frequency counts and -values were consistent. In 51 out of 929 (5.5%) baseline variables, the sum of frequencies did not agree with the reported number of participants. For one-third of reported -values (172 out of 522), we could not calculate a matching -value using a range of statistical tests. Sparse data were common: for 22% (74 out of 332) of variables in which the reported -value matched the -value calculated from a chi-square test, the expected cells were smaller than recommended for the use of chi-square tests. There were 20-25% more two-arm trials with differences in frequency counts of 1 or 2 between-groups than expected. There were small differences between observed and expected distributions of baseline -values, but these depended on analysis methods. In summary, incorrectly reported -values and incorrect statistical test usage were common, and there were differences between observed and expected distributions of baseline -values and frequency counts, raising questions about the integrity of some RCTs in these journals.

摘要

勒瓦耶及其同事使用分类变量的基线值评估了四份脊柱期刊中随机对照试验(RCT)的完整性问题,得出结论称没有证据表明存在“系统性欺诈行为”。我们使用他们公布的数据集来评估报告值的准确性,以及观察到的和预期的频数分布及值是否一致。在929个基线变量中的51个(5.5%)中,频数总和与报告的参与者数量不一致。对于三分之一的报告值(522个中的172个),我们无法使用一系列统计检验计算出匹配的值。稀疏数据很常见:在报告值与根据卡方检验计算出的值匹配的变量中,有22%(332个中的74个)的预期单元格小于卡方检验推荐使用的单元格。两组间频数差异为1或2的双臂试验比预期多20%至25%。基线值的观察分布和预期分布之间存在微小差异,但这些差异取决于分析方法。总之,报告值错误和统计检验使用不当很常见,基线值和频数的观察分布与预期分布之间存在差异,这引发了对这些期刊中一些随机对照试验完整性的质疑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c582/11739909/38ce32ac9c5e/rsos.240170.f001.jpg

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