The core: blood first, tissue after
A CGM measures glucose not in the blood but in the fluid between the cells. Blood sugar changes first, the sensor glucose follows, the lag is, depending on the situation, roughly 2 to 20 minutes.1 As long as the value barely moves (rate of change under about 1 mg/dl per minute), blood and tissue are practically the same.2 Only when it goes fast does the gap become visible.3
You can see exactly this on my beer-garden evening
After the unexpected sugar surge (the detective work is here) my sensor showed 205 mg/dl at 19:42 with a steeply rising arrow. Later in the day, in hindsight, with a smoothed curve, the peak reaches about 190. Then the curve falls steeply, shoots below the target band to about 78 mg/dl, and afterwards settles around 100, where it stays calm for hours.
This is exactly the pattern that unsettles many: the sensor overshoots on a fast rise and undershoots on a fast fall, before it catches itself. That’s not a malfunction, it’s the physics of the tissue lag plus the smoothing algorithms in the device.
When the deviation is largest
Typical situations with fast changes, and therefore the largest deviation:1
- After eating, especially with fast carbs (my beer-garden evening)
- During and right after exercise
- After treating a hypo, the sensor still reads low although the blood is already rising
- After medications that move blood sugar fast
The other gap: the sensor change
On 13 July my notes simply say: “gap due to sensor change”. That’s the mundane but important kind of gap: between the old and new sensor there’s simply no data. On top of that, a fresh sensor is often not yet up to operating temperature in the first hours: the values can deviate more at the start.
How I handle it: mark the gap as a note. Otherwise weeks later I puzzle over why there’s nothing there, or worse: I interpret a gap as an event.
Key takeaways
- Trend beats single value. With a steep arrow the direction matters more than the exact number.
- Don’t react to the swing, but to the pattern. The undershoot to 78 was no cause for panic: the curve caught itself.
- If feeling and display conflict: finger-prick. If symptoms don’t match the sensor value or it’s implausible, use a fingertip measurement per the manufacturer.
- Note gaps so the later analysis stays honest.
- In calm phases the sensor is most accurate, that’s where absolute numbers are most worth looking at.
- CGM measures in tissue fluid, not blood: lag typically 2–20 minutes.
- With calm values, blood and tissue practically agree; with speed the gap opens.
Article ID: SWF-P-004Please quote this ID for corrections or additions.
Sources
Sources as of: 21 Jul 2026.
- CGM tissue lag (~2–20 min) and largest deviation during fast changes. Reference. pmc.ncbi.nlm.nih.gov (öffnet in neuem Fenster)
- Blood and interstitial glucose agree at low rates of change (<~1 mg/dl/min). Reference. pmc.ncbi.nlm.nih.gov (öffnet in neuem Fenster)
- At rates of change of −1 to 3 mg/dl/min, MARD is about 9.4–11.4%; above 3 mg/dl/min it rises to 19.0% (flash glucose monitoring, meal test in type 2 diabetes). PMC. ncbi.nlm.nih.gov/PMC7199533 (öffnet in neuem Fenster)
