This one has a reasonably settled answer, so here it is. The provenance questions are more useful than the numbers. Does the report name the batch on your vial. Is the date consistent with when that batch existed. Is it addressed to the vendor or to the person who paid for the test. Was the sample taken from general stock or supplied by the vendor. A perfect certificate for a different batch is worth nothing, and vendor-supplied samples are the most common way a genuine report ends up misleading.
Sceptical rather than excited about the triple agonist, and I would like somebody to talk me out of the scepticism with data rather than enthusiasm.
The question I want answered is what the phase 2 dropout pattern implies about how the phase 3 tolerability will read.
Not looking for reassurance. Looking for the part I have got wrong.
Dr.AddMedPHL said:The provenance questions are more useful than the numbers.
Agreeing with Dr.AddMedPHL, and the qualification matters more than the agreement. The glucagon component looks paradoxical and is not. Glucagon receptor agonism raises energy expenditure and drives hepatic fatty-acid oxidation, and its hyperglycaemic tendency is offset by the GLP-1 arm's insulin secretagogue effect. Net result: intake down from GLP-1/GIP, expenditure up from glucagon, glycaemia neutral or improved. It is a balancing act, and it is why the liver-fat results are the most interesting part of the dataset.
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Shop Reference StandardsRetaRick_CA said:Sceptical rather than excited about the triple agonist, and I would like somebody to talk me out of the scepticism with data rather than enthusiasm.
This matches mine closely enough to be worth saying so. One addition: an unstated method makes a report close to uninterpretable. "99% pure" without the technique, the standard and the conditions is a claim, not a measurement.
Correct me if the detail matters more than I have assumed.
Adding the clinical framing, because it changes how the question reads. The distinction that resolves most of these threads is between what is true on average and what is true for one person. Both are real; they answer different questions and get quoted as if they were the same one.