Posting this because the summary going around does not say what the paper says, and the difference matters for how people here are using it.
HbA1c reflects roughly three months of average glycaemia weighted toward the most recent weeks, which is why repeating it at six weeks tells you very little. The improvement on this class comes from two directions — direct glucose-dependent insulin secretion and glucagon suppression, plus the indirect effect of weight loss on insulin sensitivity — and the second continues after the first has plateaued.
Where I think it is weakest: the follow-up is short relative to how long people actually take these drugs, so durability is an assumption here rather than a finding.
So the question, as narrowly as I can put it: why A1C lags the way it does, and what to look at in the meantime if you want to know sooner. If the honest answer is that nobody knows, that is a useful answer and I would rather have it.
Figures above are from the primary publication rather than the press summary. If a number here disagrees with one you have, post yours and we will work out which of us is reading a secondary source.
JenMemphis said:HbA1c reflects roughly three months of average glycaemia weighted toward the most recent weeks, which is why repeating it at six weeks tells you very…
PCOS success story with glycaemic control: as someone with polycystic ovary syndrome, this medication has been transformative beyond weight loss.
After 12 months: periods became regular for the first time in ever, testosterone levels normalized, acne cleared significantly, and — unexpectedly — my hormonal symptoms have almost completely resolved.
GLP-1 agonists address the insulin resistance at the root of PCOS. For PCOS patients, this isn't "just" a weight loss drug — it's treating our underlying metabolic dysfunction.
JenMemphis said:HbA1c reflects roughly three months of average glycaemia weighted toward the most recent weeks, which is why repeating it at six weeks tells you very…
Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include:
| Biomarker | Association | Evidence Level |
|---|---|---|
| Baseline BMI | Higher BMI → greater absolute weight loss | Strong |
| Fasting insulin | Higher insulin → better response | Moderate |
| GLP1R gene variants | rs6923761 → variable response | Preliminary |
| Baseline hsCRP | Higher CRP → greater CV benefit | Moderate |
| Early weight loss (4 wk) | ≥3% at 4 wks → strong predictor of ≥10% at 68 wks | Strong |
The 4-week early responder criterion is the most clinically actionable: if you haven't lost ≥3% by week 4 at a therapeutic dose, discuss optimization strategies with your provider.
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Shop Reference StandardsDr.KarenChen said:Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include: Biomarker Association…
My labs after 9 months on glycaemic control: A1C 5.6%, fasting glucose 81 mg/dL, fasting insulin 4 uIU/mL. My endo says these are "textbook perfect."
For context, my baseline A1C was 7.7% and fasting glucose was 116 mg/dL. The improvement has been dramatic and consistent.
KevinCompounds said:PCOS success story with glycaemic control: as someone with polycystic ovary syndrome, this medication has been transformative beyond weight loss.
Adding a me-too, because a thread of one person's experience is not much use.