Diminishing returns, quantified
Where the curve flattens, what flattens with it, and what does not.
TheCompound Journal
Reporting on incretins, compounding & the peptide supply chain
Page 6 of 12 of this archive, newest first.
Where the curve flattens, what flattens with it, and what does not.
Where two methods disagree, the conservative convention is to report the lower figure. It is not universal, and whether a laboratory follows it belongs on the report.
We work through the arithmetic in full, because it is short, and because the errors it prevents are order-of-magnitude errors.
A small number of serious gastrointestinal events occur in people taking these drugs. Distinguishing them from the expected effect profile is the most consequential…
The practice is near-universal, clinically sensible, and supported by observational data rather than randomised comparison. We say which is which.
Selectivity, potency and efficacy are three different measurements. The trade routinely reports none of them.
The Journal has read several hundred certificates from twenty companies. The number is almost always there; the method behind it almost never is.
The evidence base here is the insulin injection-technique literature, which is large and transfers well on tissue questions.
Calibration drift is real, unremarkable, and the reason serious laboratories run internal standards.
A tour of the tissues where the receptor is expressed, and what happens in each.
Repeated injection into the same small area produces lipohypertrophy — thickened, rubbery subcutaneous tissue with blunted and erratic absorption. It is common, it is…
A peptide has a monoisotopic mass and an average mass, they differ by several daltons at this molecular size, and a certificate that does not say which it quotes cannot be…
Head-to-head data exists for some of these comparisons and not for others. This piece says which.
A dose held long enough stops being a pause and becomes a maintenance decision. That transition is rarely made explicitly.
The dose-response curve in this class flattens near its top. That has direct consequences for whether the final rung is worth climbing.
Trial adverse-event tables count episodes reported to a study nurse. They are the best data we have and they systematically under-record the mundane.
Receptor pharmacology is strong on average effects and almost silent on individual variation. That gap is where most reader questions live.
A pharmacist catches most of these in licensed practice. In this market there is no pharmacist, so the checks have to be structural.
What scintigraphy and breath-test studies established about emptying rate, and what they did not.
We work through the residual-exposure table so the decision can be made from numbers rather than from feel.