the regain question that gets asked weekly, answered properly
long term. That is the whole post, but I will justify it.
Everything else people worry about in c/intlshipping is downstream of it. Titration speed, early fullness, the endless dose arguments — most of it resolves if you sort long term out first, and almost nobody does.
I say this having got it wrong for 7 months. My eGFR was the thing that eventually made me pay attention, which is a stupid way to learn a lesson that was in the sidebar the whole time.
best — the order this archive was captured in
Mechanistically the bit that matters is dose stretching. It explains most of the early profile and a decent chunk of the outcome.
Respectfully this is a sample of one presented as a finding.
Slight fix: the number was 97.2, not 97.4. Decimal point, but a fairly consequential one.
Tracking number removed. It identifies both ends of a shipment.
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regain after taper is expected, plan for it
regain after taper is expected, plan for it
Yes, exactly this, and it is the bit that took me 81 weeks to accept.
This is correct. Weight variance is normal at maintenance.
Water content matters more than people think. If a vial is carrying residual moisture, your "10mg" is not 10mg of peptide.
the lowest dose you can stay on is not the lowest dose that works
Maintenance for 22 months now. 0.25mg every 30 days, weight 5±22kg. Found the rhythm.
The plateau is real and boring. 91 weeks at the same weight, then movement again. Patience was the intervention.
state how long you have been at maintenance, week 22 is not maintenance
the 1.0mg dose works fine for 79 weeks of the month
the maintenance question changes at maintenance
Rodent data is rodent data. Dose scaling is not linear and the models tell you what to investigate, not what to expect.
the plateau is where the learning happens
Yeah, maintenance is the boring part and the important part.
weight moves within 2kg and that is normal
the plateau is where the learning happens
Sceptical. If this were true we would see it reflected in the data and we do not.
- 1Tracking number removed. It identifies both ends of a shipment.11 comments in this branch · started by u/maintenance_mode_max
- 2Rodent data is rodent data. Dose scaling is not linear and the models tell…6 comments in this branch · started by u/taper_off_tabitha