Clinical perspective, offered as context rather than as advice. If two explanations both fit, the useful question is which one predicts something the other does not. That is answerable; arguing about which sounds more plausible is not.
Dr.RaviCardio said:If two explanations both fit, the useful question is which one predicts something the other does not.
Same pattern here, and in the same order.
Dr.RaviCardio said:If two explanations both fit, the useful question is which one predicts something the other does not.
Coming at Dr.RaviCardio’s question from a different direction. 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.
That is the short version; the long version is somebody else's post.
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Browse GL BiochemThe figures, for anyone assembling their own picture. For anyone reading later: the numbers in this thread are worth checking against a primary source before you act on them, including mine. Half the figures circulating in this community trace back to a secondary summary that dropped a qualifier.
Following on from Dr.RaviCardio — and this may be the naive question:
Why adding glucagon agonism to an anti-obesity drug is not self-defeating, given that glucagon raises blood glucose?