Read the primary source rather than the write-up and the two do not agree, so here is what is actually in 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 population was selected and supported in ways a real cohort is not, so I would read the effect size as a ceiling rather than an expectation.
What I am after is why A1C lags the way it does, and what to look at in the meantime if you want to know sooner. Practical detail welcome, however dull — the duller the better.
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.
TrialTracker_MD 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…
Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking:
HOMA-IR = (fasting insulin × fasting glucose) ÷ 405
My numbers: Baseline HOMA-IR = 4.2 (insulin resistant) → Current = 1.4 (insulin sensitive)
Anything above 2.0 indicates insulin resistance. The goal is below 1.5. GLP-1 agonists address the root metabolic dysfunction, not just the symptoms. This is why they work so much better than calorie restriction alone.
TrialTracker_MD 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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Browse GL BiochemLabKate said:Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include: Biomarker Association…
Fasting insulin is the lab my functional medicine doctor cares about most for glycaemic control: it's a much earlier marker of metabolic dysfunction than glucose or A1C.
My fasting insulin: 28 → 14 → 5 uIU/mL over 9 months. Target is <7. By the time your fasting glucose is elevated, your insulin has been elevated for YEARS trying to compensate.
Ask your doctor to include fasting insulin in your bloodwork panel. It's cheap (~$20) and incredibly informative.
BethLabQueen said:Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking: HOMA-IR = (fasting…
Adding a me-too, because a thread of one person's experience is not much use. The detail I would add is minor and it is already implied above.