Effective Drug Supply for Adaptive Clinical Trials: Recommendations by the DIA Adaptive Design Scientific Working Group Drug Supply Subteam

2015 ◽  
Vol 49 (1) ◽  
pp. 100-107 ◽  
Author(s):  
Nancy Burnham ◽  
Judith Quinlan ◽  
Weili He ◽  
Micheline Marshall ◽  
Graham Nicholls ◽  
...  
Author(s):  
Alessandra Giovagnoli

This paper presents a brief overview of the recent literature on adaptive design of clinical trials from a Bayesian perspective for statistically not so sophisticated readers. Adaptive designs are attracting a keen interest in several disciplines, from a theoretical viewpoint and also—potentially—from a practical one, and Bayesian adaptive designs, in particular, have raised high expectations in clinical trials. The main conceptual tools are highlighted here, with a mention of several trial designs proposed in the literature that use these methods, including some of the registered Bayesian adaptive trials to this date. This review aims at complementing the existing ones on this topic, pointing at further interesting reading material.


2017 ◽  
Vol 14 (3) ◽  
pp. 246-254 ◽  
Author(s):  
Samkeliso C Mawocha ◽  
Michael D Fetters ◽  
Laurie J Legocki ◽  
Timothy C Guetterman ◽  
Shirley Frederiksen ◽  
...  

Background: Adaptive clinical trials use accumulating data from enrolled subjects to alter trial conduct in pre-specified ways based on quantitative decision rules. In this research, we sought to characterize the perspectives of key stakeholders during the development process of confirmatory-phase adaptive clinical trials within an emergency clinical trials network and to build a model to guide future development of adaptive clinical trials. Methods: We used an ethnographic, qualitative approach to evaluate key stakeholders’ views about the adaptive clinical trial development process. Stakeholders participated in a series of multidisciplinary meetings during the development of five adaptive clinical trials and completed a Strengths–Weaknesses–Opportunities–Threats questionnaire. In the analysis, we elucidated overarching themes across the stakeholders’ responses to develop a conceptual model. Results: Four major overarching themes emerged during the analysis of stakeholders’ responses to questioning: the perceived statistical complexity of adaptive clinical trials and the roles of collaboration, communication, and time during the development process. Frequent and open communication and collaboration were viewed by stakeholders as critical during the development process, as were the careful management of time and logistical issues related to the complexity of planning adaptive clinical trials. Conclusion: The Adaptive Design Development Model illustrates how statistical complexity, time, communication, and collaboration are moderating factors in the adaptive design development process. The intensity and iterative nature of this process underscores the need for funding mechanisms for the development of novel trial proposals in academic settings.


Author(s):  
Alessandro Baldi Antognini ◽  
Marco Novelli ◽  
Maroussa Zagoraiou

AbstractThe present paper discusses drawbacks and limitations of likelihood-based inference in sequential clinical trials for treatment comparisons managed via Response-Adaptive Randomization. Taking into account the most common statistical models for the primary outcome—namely binary, Poisson, exponential and normal data—we derive the conditions under which (i) the classical confidence intervals degenerate and (ii) the Wald test becomes inconsistent and strongly affected by the nuisance parameters, also displaying a non monotonic power. To overcome these drawbacks, we provide a very simple solution that could preserve the fundamental properties of likelihood-based inference. Several illustrative examples and simulation studies are presented in order to confirm the relevance of our results and provide some practical recommendations.


2011 ◽  
Vol 8 (6) ◽  
pp. 727-735 ◽  
Author(s):  
Dennis O Dixon ◽  
Susanna Weiss ◽  
Kelly Cahill ◽  
Lawrence Fox ◽  
Joni Love ◽  
...  

Background Historically, four divisions of the National Institute of Allergy and Infectious Diseases (NIAID) that manage clinical trials and oversee data and safety monitoring have operated fairly autonomously with respect to their approaches to Data and Safety Monitoring Board (DSMB) operations. We recognized the need for a revised policy on DSMB operations in an effort to encourage greater harmonization of procedures across the four divisions. Purpose The purpose of this article is to describe the considerations that motivated the development of the new policy, summarize current DSMB policies and ongoing harmonization efforts across the four divisions, and offer some recommendations for DSMB operations in the hope that other organizations may benefit from our experience. Methods From 2005 to 2009, a working group undertook a review of DSMB responsibilities, policies, and operations. We analyzed and summarized the final policy document that the working group produced, gathered data describing current DSMB activities, and developed a tabular, cross-sectional overview highlighting how divisions are harmonizing their DSMB operations. Results In 2010, there were 44 DSMBs in NIAID monitoring 169 protocols, and those DSMBs conducted 209 reviews of the protocols. Review and analysis of DSMB practices across the four divisions have led to recommendations for efficient and successful DSMB operations: adopt an inclusive approach, whereby the trial investigators assist in the process of forming and utilizing DSMBs; structures other than DSMBs can often provide many of the features of DSMBs but with greater flexibility in membership, access to interim data, and scheduling; the trial protocol should specify what safety and other concerns should trigger a DSMB review and what data should be included in prespecified reviews; present data in thoughtful and user-friendly ways that answer specific questions; allow sufficient time to plan for working with the DSMB. Limitations We recognize that NIAID’s specific circumstances and DSMB policy may not apply to the operation of DSMBs in every organization. Nevertheless, we believe that useful lessons can be learned from our experiences and efforts toward harmonization. Conclusions Homogeneity in DSMB operations and management has appeal as a matter of organizational policy and efficiency. Some limited flexibility, as long as it honors fundamental principles of independence, confidentiality of interim trial results, and clear lines of reporting and approval, may be appropriate on occasion. NIAID’s 2009 institute-level policy established a collective understanding of the important contribution that DSMBs make to the responsible conduct of clinical trials. Thinking will continue to evolve, leading to further policy refinements and the continued assurance of patient safety in our clinical trials.


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