One concrete data point for the thread. 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.

Following on from KevinCompounds — and this may be the naive question:

How to read a result like this without either dismissing it or over-reading it, since the summaries all read like press releases?

LabKate said:

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.

Coming at LabKate’s question from a different direction. Read four things before the headline number. The population, because trial populations are selected and supported in ways that real cohorts are not. The comparator, because "better than placebo" and "better than the current standard" are different claims and get reported identically. The primary endpoint as pre-registered, because a secondary endpoint promoted after the fact is a hypothesis rather than a finding. And the completion rate, because a large effect in the half of participants who finished is a different result from a large effect in everybody enrolled.

Happy to go further on any of that.

OP back with an update, since a thread like this is useless without one.

Update — my curve sits below the published mean and the explanation is that the trial arm had support I do not have. That was reassuring rather than otherwise.

Dr.PulmRoch said:

Read four things before the headline number.

Lp(a) and cardiovascular risk: a nuance that matters. Unlike most lipid markers, Lp(a) is 90%+ genetically determined and doesn't really change with weight loss or GLP-1 therapy.

My Lp(a) has remained at 66 nmol/L across all time points. If yours is elevated (>50 nmol/L), you need additional risk mitigation strategies regardless of your GLP-1 response. Don't assume your medication is covering all cardiovascular risk factors.