Pascal Touchon
Analyst · Citigroup.
Thank you, Yigal, for your question. So maybe I'll start and, AJ, if you want to chime in. The scenario that we are planning right now, kind of base-case scenario, is that the data we see at the IA are aligned with our statistical assumption in terms of the trend towards the target conditional power. And therefore, we enrolled patient 80, and then we stop enrolling patients or maybe a few patient that are in the process, additional patients. But we basically then follow and evaluate these patients for additional time and period to go to the end of the study a year later. So that's the base-case scenario because that's our plan. Now there is a scenario where we can increase the likelihood of statistical significance for that study in increasing the sample size. And in that case, we will need to decide by how many we need to increase in sample size. And we'll communicate that particular increase when do we expect to end the enrollment, and therefore, when do we expect to have the final results of the study and the rationale for that increase. So that's the other scenario we've been mentioning so far. But again, for us, it's not a base-case scenario. Best-case scenario is still that we just go and move forward with what we had planned because we hope that we will see results in line what we've seen so far. Now that's the most likely scenarios if you're thinking about rank order. Now there is also always the possibility that we have a futility analysis that shows futility of that study there. We don't believe that it's very likely, and AJ might want to detail that, but it's part of any type of IA. So that's a kind of low likelihood type of scenario. And then, of course, there's also a scenario that we've been discussing in the past, whether increasing significantly the number of patient could lead to possibly to use that particular study as a kind of pivotal study to file for accelerated approval. We believe that, that scenario is extremely unlikely as well. It's a bit like the futility one for various reasons we can detail. But just wanted to set the scene. And if you want, AJ, you can comment further, but at least that's the scene as we see it. Base-case scenario, 80 is fine. We move forward. We enrol the last patient, follow that patient for 1 year, then we have the data. Possibility to slightly increase the sample size to improve the likelihood of statistical significance at the end of that Phase II study, and we'll communicate in that case why. That's the 2 most likely scenario; and then 2 very unlikely scenario, fertility or a situation where we'll have the ability to move towards a conditional approval. Does it make sense, Yigal?