脊柱随机对照试验中基线分类变量和p值的准确性和分布。

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Royal Society Open Science Pub Date : 2025-01-15 eCollection Date: 2025-01-01 DOI:10.1098/rsos.240170
Mark J Bolland, Alison Avenell, Andrew Grey
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引用次数: 0

摘要

Levayer及其同事使用分类变量的基线p值评估了四种脊柱期刊上的随机对照试验(rct)中的诚信问题,得出结论认为没有证据表明存在“系统性欺诈行为”。我们使用他们发表的数据集来评估报告的p值的准确性,以及频率计数和p值的观察和预期分布是否一致。在929个基线变量中的51个(5.5%)中,频率总和与报告的参与者人数不一致。对于报告的p值的三分之一(522个中的172个),我们无法使用一系列统计检验计算匹配的p值。稀疏数据很常见:在报告的p值与卡方检验计算的p值相匹配的变量中,有22%(332个变量中的74个)的期望单元小于使用卡方检验的推荐值。组间频率计数差异为1或2的两组试验比预期多20-25%。基线p值的观察分布和预期分布之间存在微小差异,但这取决于分析方法。总之,不正确的p值报告和不正确的统计检验使用是常见的,并且在基线p值和频率计数的观察和预期分布之间存在差异,这引起了对这些期刊中一些随机对照试验的完整性的质疑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy and distribution of baseline categorical variables and p-values in spine randomized controlled trials.

Levayer and colleagues assessed integrity issues in randomized controlled trials (RCTs) in four spine journals using baseline p-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 p-values and whether observed and expected distributions of frequency counts and p-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 p-values (172 out of 522), we could not calculate a matching p-value using a range of statistical tests. Sparse data were common: for 22% (74 out of 332) of variables in which the reported p-value matched the p-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 p-values, but these depended on analysis methods. In summary, incorrectly reported p-values and incorrect statistical test usage were common, and there were differences between observed and expected distributions of baseline p-values and frequency counts, raising questions about the integrity of some RCTs in these journals.

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来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
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