Overcoming challenges of 'Less Well Understood' Adaptive Designs

Posted by Cytel

Sep 7, 2016 8:00:00 AM

In the 2010 draft FDA ‘Guidance for Industry on Adaptive Design Clinical Trials for Drugs and Biologics',  the agency makes an important distinction between ‘well understood’ and ‘less well understood’ adaptive designs.

‘Well understood” adaptive designs may include such approaches as adaptation of eligibility criteria, adaptation for stopping early and adaptations to maintain study power based on blinded interim analyses of aggregate data. For these 'well-understood designs', there is little concern from the FDA about their potential to be implemented in adequate and well-controlled trials.  On the other hand, at the time of the drafting of the guidance at least, ‘ less well understood designs' (which include such approaches as adaptations for dose selection studies, adaptation of patient population based on treatment-effect estimates,  and adaptation for end-point selection based on interim estimates of treatment effect) gave greater concern. Interestingly, the FDA  Adaptive Designs for Medical Device Clinical Studies : Guidance for Industry and Food and Drug Administration Staff does not adopt this distinction. 

A recent article, Addressing Challenges and Opportunities of “Less Well-Understood” Adaptive Designs (He et al 2016) (1) takes a look at some of the perceived challenges of these designs and ways in which they may be overcome.  The publication is the result of work by a best practice sub-team formed by the DIA Adaptive Design Scientific Working group in January 2014. Cytel's Yannis Jemiai is a member of this group, and one of the co-authors of the article. 

In this blog, we take a look at a few of the challenges outlined and some of the suggested mitigations.  One aspect covered in the publication is seamless designs- and given the scope we'll devote a separate blog to this area. 

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Topics: sample size re-estimation, Clinical Research Services, type 1 error, Software Simulations, patient enrollment, adaptive designs, adaptive trials, DMC

Operationally Seamless & Inferentially Seamless Adaptive Designs

Posted by Esha Senchaudhuri

Dec 4, 2014 11:30:00 AM

Fulyzaq® from Napo/Salix was the first drug ever to be approved using an adaptive two-stage "seamless" clinical trial design. However, when Napo Pharmaceuticals sought orphan drug status for Crofelemer (made from the croton lechleri plant, pictured above left), it received a short window from the FDA in which to complete a Phase 3 trial for safety and efficacy. Aiming to diminish both time and cost, Napo submitted an adaptive design for a Crofelemer trial to the FDA. Initially, the design was rejected on grounds that it would not demonstrate strong control of the type-1 error rate.

Napo then approached Cytel consultants which advised it to consider a seamless adaptive trial. A seamless adaptive trial combines 2 phases of a study into one trial, thereby allowing a trial to complete within a short window. Using appropriate techniques, it is possible to conduct such studies while maintaining strong control of type-1 error.  

A seamless adaptive design may be operationally seamless or inferentially seamless. An operationally seamless design is one in which a confirmatory trial proceeds after an exploratory one, but the data from the two are kept distinct. By contrast, an inferentially seamless trial combines data from both phases to make the final inference. Due to these two varieties of seamless adaptive designs, Napo/Salix had the following 3 trial designs from which to choose:

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Topics: Sample Size, Trial Design, Safety, type 1 error, Dose-Finding

Why adaptive sample size re-estimation designs preserve type 1 error

Posted by Esha Senchaudhuri

Aug 28, 2014 8:00:00 AM


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Topics: Promising Zone, type 1 error, Adaptive Clinical Trials

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