JennaRN said:Relative and absolute effects need reading together.
I would rather people stopped quoting the 24% as if it were a licensed outcome. It is a phase 2 result in a few hundred participants with no cardiovascular endpoint and no long-term safety data, and this board has a habit of treating pipeline numbers as settled.
Adding the numbers, since they settle part of this. A quick sanity check on any figure quoted here: is it mean or median, is it intention-to-treat or completers, and what was the comparator. Three questions, and they resolve most disagreements in these threads.
DebRD_ATL said:I would rather people stopped quoting the 24% as if it were a licensed outcome.
Adding the part of the answer the thread has not reached. The gap between trial results and real-world results is consistent and it is not fraud. Trial participants get titration by protocol, scheduled contact, free drug and dietetic support; removing that infrastructure costs a few percentage points every time it has been measured. When your own curve sits below the published mean, that is the likeliest explanation before anything about you or your material.
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View ResultsA narrower follow-up, since the general answer is now clear:
Why adding glucagon agonism to an anti-obesity drug is not self-defeating, given that glucagon raises blood glucose?
Reporting back.
Rereading it with the dropout table open changed my view. I still think it is the most interesting molecule in the pipeline; I no longer think the 24% is the number that will end up on a label.