Cgm when a1c is fine but still stuck?

dunno. i’ve been on 75mcg levo for four months now, and my TSH and free T3 numbers finally look okay. like, actually in range, no more those dips into the 60s for free T3. A1C is solid too, always has been, not pre-diabetic or anything.

but the weight still isn’t moving. and some of the other metabolic stuff still feels off, you know? i’m eating clean, same workouts i was doing last year when the scale was actually responsive. it’s like biochemically things are ‘fixed’ but my body didn’t get the memo.

i keep coming back to continuous glucose monitors. i know they’re big for type 2 diabetes, obviously. but what about for people like us? where the fasting glucose looks fine, the A1C looks fine, but you still feel like your body isn’t processing things right.

has anyone used a CGM to track daily glucose swings when they don’t have a diabetes diagnosis? did it actually show you something useful that regular labs missed? like, specific patterns with certain foods or activity levels that were messing with things even if you weren’t hitting full hyperglycemia? just wondering if that’s where the real pattern is hiding, instead of waiting for the numbers to cross a clinical threshold before you know there’s an issue.

body didn’t get the memo, same

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my own experience with tracking has me wondering if a CGM will really unlock “the real pattern” you’re looking for. that feeling of “biochemically things are ‘fixed’ but my body didn’t get the memo”

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i wonder if you’d spot specific trigger foods for glucose spikes that don’t even register as a problem for an a1c, especially with ‘my body didn’t get the memo’ feeling.

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that feeling of “biochemically things are ‘fixed’ but my body didn’t get the memo” is a really common frustration when labs normalize but that underlying metabolic ‘off’ feeling persists. cgm data can absolutely show you post-prandial glucose dynamics that A1C and fasting numbers will miss, so it’s a valid approach to hunt for those patterns. the main thing to be aware of, though, is that the causal effect size of sub-clinical glucose excursions on weight loss plateaus in a non-diabetic cohort with normalised thyroid

your body didn’t get the memo

data didn’t explain anything

what specific action would you take if a cgm showed “specific patterns” with your glucose, but your a1c stayed fine? what’s the goal beyond just seeing a pattern?

post-meal spikes are key

that feeling of “biochemically things are ‘fixed’ but my body didn’t get the memo” is so familiar. i’m ten days into metformin and my fasting glucose dropped from 118 to 10

those daily patterns are always missed by a single lab.

daily glucose swings are probably like my complement levels, they look fine on paper but the pattern between appointments is the real story. that’s what regular labs miss.

that ‘body didn’t get the memo’ feeling is exactly why i started looking at things like histamine response after eating certain foods. a cgm wouldn’t tell you about histamine, but the idea of tracking real-time reactions to food to find patterns when standard labs are clean?

that’s the whole game for us. seems like it could definitely catch things your a1c isn’t touching.

that feeling of “biochemically things are ‘fixed’ but my body didn’t get the memo” is way too familiar when you’re trying to figure out what’s going on. a cgm might show you if certain foods are hitting you with big glucose swings, and that can be useful info. but if your a1c is already

the specific patterns you’re looking for usually aren’t fasting, it’s post-meal.