Clinical trials : journal of the Society for Clinical Trials
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Low compliance to randomized nondrug interventions can affect treatment estimates of clinical trials. Cluster-randomized crossover may be appropriate for increasing compliance in the out-of-hospital cardiac arrest setting. ⋯ We found a significant decrease in compliance to the AL versus AE cardiac arrest intervention as the elapsed time from start of treatment period increased. We did not find a difference in compliance immediately before and after a crossover. While these results suggest that future cluster with crossover trials in the out-of-hospital setting be designed with short treatment periods and frequent crossovers, provider logistical concerns must also be considered.
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Comparative Study
Taking the long view: how to design a series of Phase III trials to maximize cumulative therapeutic benefit.
Traditional clinical trial designs strive to definitively establish the superiority of an experimental treatment, which results in risk-adverse criteria and large sample sizes. Increasingly, common cancers are recognized as consisting of small subsets with specific aberrations for targeted therapy, making large trials infeasible. ⋯ It is worthwhile to consider a design paradigm that seeks to maximize the expected survival benefit across a series of trials, over a longer research horizon. In today's environment of constrained, biomarker-selected populations, our results indicate that smaller sample sizes and larger α values lead to greater long-term survival gains compared to traditional large trials designed to meet stringent criteria with a low efficacy bar.
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In neuroscience clinical research studies, much time and effort are devoted to deciding what data to collect and developing data collection forms and data management systems to capture the data. Many investigators receiving funding from National Institute of Neurological Disorders and Stroke (NINDS), the National Institutes of Health (NIH), are required to share their data once their studies are complete, but the multitude of data definitions and formats make it extremely difficult to aggregate data or perform meta-analyses across studies. ⋯ Version 1.0 of a set of CDEs has been published, but publication is not the end of the development process. All CDEs will be evaluated and revised at least annually to ensure that they reflect current clinical research practices in neuroscience.