TinaHashiRN said:Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 37% to 21%.
Thank you — that is the clearest version of this I have read, and I have read a lot of them.
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.
PedsEndoPhilly said:PCOS success story with glycaemic control: as someone with polycystic ovary syndrome, this medication has been transformative beyond weight loss.
This is where I part company with the consensus forming above. The objection nobody has made: this only works if the measurement is doing what we assume it is doing, and that assumption has not been tested here.
That is the short version; the long version is somebody else's post.
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Browse GL BiochemOne concrete data point for the thread. One practical note: write down what you did and when, before you need it. Reconstructing a timeline from memory three months later is how people end up unable to answer the one question that would have resolved it.
Moderator note: the sourcing question belongs in the vendor section and has been split out. Report rather than reply if it drifts again.