Mickenautsch Steffen, Yengopal Veerasamy
Faculty of Dentistry, University of the Western Cape, Cape Town, ZAF.
Community Dentistry, University of the Witwatersrand, Johannesburg, ZAF.
Cureus. 2024 Sep 7;16(9):e68911. doi: 10.7759/cureus.68911. eCollection 2024 Sep.
Selection bias in clinical trials is a form of systematic error and may be detected using the I² test with a 0/>0% threshold (bias: I² > 0%, no bias: I² = 0%). The test operates on the premise that effective randomisation eliminates in-between study heterogeneity beyond the play of chance in a baseline variable meta-analysis of all the trial's baseline variables. Since the I² statistic was originally designed to measure in-between study heterogeneity in meta-analyses, the test requires the generation of at least two simulated comparator trials (SCTs). During this process, three parameters are set: SCT sample size (N), the minimum-maximum range of random values (R), and the number of generated SCTs to be used (SCT). Each of these parameters influences the 0/>0% threshold of the resulting I² point estimate, thereby affecting the test's sensitivity in indicating a positive result. The purpose of this technical report is to highlight the effect that SCT parameters have on the test's accuracy and to recommend appropriate parameter settings.
临床试验中的选择偏倚是一种系统误差形式,可使用I²检验并以0/>0%阈值进行检测(偏倚:I²>0%,无偏倚:I² = 0%)。该检验基于这样一个前提,即在对试验所有基线变量进行的基线变量荟萃分析中,有效的随机化消除了超出随机因素的研究间异质性。由于I²统计量最初是为测量荟萃分析中的研究间异质性而设计的,该检验需要生成至少两个模拟对照试验(SCT)。在此过程中,设置三个参数:SCT样本量(N)、随机值的最小 - 最大范围(R)以及要使用的生成SCT数量(SCT)。这些参数中的每一个都会影响所得I²点估计的0/>0%阈值,从而影响该检验在指示阳性结果时的灵敏度。本技术报告的目的是突出SCT参数对检验准确性的影响,并推荐合适参数设置。