Key result
Review highlights recent statistical approaches to improve analysis efficiency in thorough QT clinical trials.
This review summarizes statistical methods for analyzing thorough QT studies to improve testing efficiency and reduce false positive rates.
The primary objective of a thorough QT clinical trial is to demonstrate the lack of QT prolongation induced by the test treatment. The ICH E14 guidance defined drug-induced prolongation of QT interval as evidenced by an upper bound of the 95% one-sided confidence interval around the mean effect on QTc of 10 ms. Furthermore, it defined a negative thorough QT/QTc study as one in which the upper bound of the 95% one-sided confidence interval for the largest time-matched mean effect of the drug on the QTc interval excludes 10 ms. Conventionally, this objective is tested with the intersection-union test by testing the mean difference between the test treatment and placebo of QTc changes from baseline at each of the matched time points. The multiple-comparison nature of the test leads to higher false positive rate when comparisons are made repeatedly at multiple time points. Many approaches have been proposed in the last 5 years in order to improve the efficiency of the test. In this article, we survey and discuss some of the approaches.
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Tian et al. (2010) conducted a review in Drug-induced QT prolongation. This review surveys and discusses several statistical approaches proposed over the last 5 years to improve the efficiency of analyzing data from thorough QT clinical trials.
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