Randomized clinical trials (RCT) are traditionally conducted in the context of demonstrating the efficacy and safety of medical products. For many disease areas, placebo response can be high in clinical trials and affect the ability of detecting a treatment effect. On the other hand, due to the concern of lacking adequate patients for some rare diseases or pediatric patients, enrichment designs or innovative designs are thought of as being able to provide a way to address these issues. Randomized designs for crossover trials and N-of-1 trials are attractive options in rare disease settings. They utilize within-patient variability to assess the efficacy of a treatment, but are limited to chronic, stable conditions for which efficacy disappears quickly after the treatment is withdrawn, posing a constraint to the feasibility of these designs.
A special class of RCT designs is characterized by re-randomization. Some types of enrichment are sequential parallel designs (3), two way enriched designs (5) and sequential enriched designs (SED) (4). These designs not only address the issue of high placebo response but also increase trial efficiency.
In these designs, responses are measured at intermediate points in a patient’s treatment regimen; based on these responses, patients may be re-randomized to a second group of treatments. The purpose of the re-randomization is to provide a second comparison of the drug and placebo. Because of multiple points of randomization, these designs demonstrate higher efficiency than the traditional randomized parallel design. They also do not require the same assumptions about the conditions as required for the N-of-1 or crossover trials.
Sequential multiple assignment randomized trial (SMART) (1) design is another example of a trial design that re-randomizes at least some of the patients. SMARTs examine viable treatment strategies and typically do not incorporate placebo arms. However, this is an area that needs more exploration, i.e. the use of placebos in SMART designs. SMARTs are usually done with the purpose of finding optimal sequencing of treatments that are tailored to the individual over time. This usually requires large sample sizes, however small sample SMART designs have also been proposed to more efficiently estimate initial treatment effects (9). These designs offer another option for rare disease research where the drug versus placebo comparison is necessary.
Various adaptive designs proposed in the past decade (6), may also provide improved efficiency in rare disease clinical trial design. Neither SMART designs nor enrichment designs are adaptive designs because the design characteristics are not a function of the accruing data. There are several drugs that have been approved from adaptive trial designs in the recent 3 to 5 years. Adaptive designs should certainly be considered to speed up the rare disease drug development. It is also possible to incorporate the ideas of adaptations, such as sample size re-estimation or adding or dropping arms in the aforementioned enrichment or SMART designs. Furthermore, it is known that RCTs can effectively avoid confounding and are the gold standard, but trial designers and analysts are not always trained on how to plan and implement randomization properly when considering the adaptive or innovative designs requiring re-randomization. In light of the increasing popularity of adaptive and enrichment designs with multiple stages, where updating the randomization ratio or re-randomizing the same or new patients is possible, it is important to monitor its practice and impact on ongoing trials.
Since this topic of assessing the use of re-randomization in clinical trials is an important topic which can assist in speeding up the drug development, not only in common disease areas but also rare diseases or small sized trials, we would like to revive this working group to continue to perform more research on this topic and also disseminate our methods and results to the public.
We have conducted the following for 2021 ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop (BIOP).
Topic: Utilizing Re-randomization Techniques in Clinical Trials: Application and Statistical Considerations for Enrichment Designs
Abstract:
Randomized clinical trials are traditionally conducted in the context of demonstrating efficacy and safety of medical products. For many disease indications, high placebo response in clinical trials can hamper the detection of treatment effect. Enrichment designs and other innovative designs have been proposed to address these issues and concern over inadequate recruitment of patients for pediatric and rare disease trials.
Enrichment designs, such as sequential parallel comparison designs (SPCD) and sequential multiple assignment randomized trials (SMART) by means of re-randomization, have been implemented in clinical trials recently and have shown success and efficiency. However, the advantages of re-randomization in enrichment designs and its practical use still need to be further explored.
This session is intended for audiences who are interested in clinical trials that implement re-randomization and who want to gain a clear understanding of the utility and technical challenges. Speakers from regulatory agencies, pharmaceutical companies, and academia will share their latest research, practical trial examples, and potential solutions.
Session Organizers: Yeh-Fong Chen (FDA), Roy Tamura (SFU), Xiaoyu Cai (FDA)
Session Chair: Xiaoyu Cai (FDA)
Speakers:
Utilizing Two-Stage Enrichment Designs for Small-Sized Clinical Trials
Yeh-Fong Chen, US Food and Drug Administration
SMART Design for Treatment Effectiveness in Small Samples
Kelley M. Kidwell, University of Michigan
Design and Analysis of a Trial to Simultaneously Evaluate an Assay and a Drug
Neal Thomas, Pfizer Inc.