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Discontinuation from randomised treatment is a common intercurrent event in clinical trials. When the target estimand uses a treatment policy strategy to deal with this intercurrent event, data after cessation of treatment is relevant to estimate the estimand and all efforts should be made to collect such data. Missing data may nevertheless occur due to participants withdrawing from the study and assumptions regarding the values for data that are missing are required for estimation. A missing-at-random assumption is commonly made in this setting, but it may not always be viewed as appropriate. Another potential approach is to assume missing values are similar to data collected after treatment discontinuation. This idea has been previously proposed in the context of recurrent event data. Here we extend this approach to time-to-event outcomes using the hazard function. We propose imputation models that allow for different hazard rates before and after treatment discontinuation and use the posttreatment discontinuation hazard to impute events for participants with missing follow-up periods due to study withdrawal. The imputation models are fitted as Andersen-Gill models. We illustrate the proposed methods with an example of a clinical trial in patients with chronic obstructive pulmonary disease., (© 2022 John Wiley & Sons Ltd.)

Purpose: Following the adoption of the ICH E2E guideline, risk management plans (RMP) defining the cumulative safety experience and identifying limitations in safety information are now required for marketing authorisation applications (MAA). A collaborative research project was conducted to gain experience with tools for presenting and evaluating data in the safety specification. This paper presents those tools found to be useful and the lessons learned from their use., Methods: Archive data from a successful MAA were utilised. Methods were assessed for demonstrating the extent of clinical safety experience, evaluating the sensitivity of the clinical trial data to detect treatment differences and identifying safety signals from adverse event and laboratory data to define the extent of safety knowledge with the drug., Results: The extent of clinical safety experience was demonstrated by plots of patient exposure over time. Adverse event data were presented using dot plots, which display the percentages of patients with the events of interest, the odds ratio, and 95% confidence interval. Power and confidence interval plots were utilised for evaluating the sensitivity of the clinical database to detect treatment differences. Box and whisker plots were used to display laboratory data., Conclusions: This project enabled us to identify new evidence-based methods for presenting and evaluating clinical safety data. These methods represent an advance in the way safety data from clinical trials can be analysed and presented. This project emphasises the importance of early and comprehensive planning of the safety package, including evaluation of the use of epidemiology data.

Troglitazone, a PPAR-gamma agonist, enhances the actions of insulin on muscle and liver. It is metabolized predominantly in the liver to a sulfate conjugate and a quinone metabolite. Acetaminophen also undergoes metabolism by conjugation. This three-way crossover study in 12 healthy male volunteers was conducted to investigate the effects of acetaminophen on the metabolism of troglitazone and vice versa. No statistically or clinically relevant differences in area under the concentration-time curve extrapolated to infinity (AUCinfinity) were observed for troglitazone, its quinone metabolite, or acetaminophen. A statistically significant decrease in troglitazone sulfate conjugate during administration with acetaminophen was not clinically relevant. No statistically or clinically relevant differences were observed in maximum concentration (Cmax), time to Cmax (tmax), or elimination half-life of troglitazone, its two main metabolites, and acetaminophen or in acetaminophen urinary sulfate excretion, although there was a slight decrease in acetaminophen glucuronide excretion during administration with troglitazone. Adverse events were minor and similar between treatments. These findings suggest that troglitazone and acetaminophen can be coadministered without adverse clinical consequences.