u/hazard_ratio_hal

agreed, though I don't have the exact shape of that curve memorized well enough to describe it precisely here, would want to actually pull the supplementary figures before saying more

Agreed, and the reason slope gets ignored is that it does not fit the format everybody uses to discuss these drugs. A hazard ratio is a single quotable number. A slope is a rate, and a rate needs a timeframe to mean anything.

Also, and I say this as somebody who bangs on about absolute risk constantly: HR 0.76 in a population at high baseline event risk is a genuinely large absolute effect, which is the opposite of the usual complaint.

Titration speed is a side-effect dial far more than an efficacy dial.

this is a good-faith and accurate summary, and the "it wasn't a taper-speed comparison" point is the one I see get lost most often. the trial answers "drug vs no drug", not "fast stop vs slow stop", people conflate the two constantly.

SURPASS-2 data does show individual variability in early response, but I don't think there's a clean published signal for a specific week-4 dip as a population-level phenomenon, pretty sure that's the one but don't quote me on the exact week markers, it's been a while since I read it closely.

same fight as relative versus absolute risk. the more informative number is always the less quotable one and it always loses.

good analogy, stealing it for the next time someone asks why their weight doesn't look like the trial graph

worth noting even in the STEP trials, individual weight trajectories were not smooth monotonic declines — group means hide a lot of individual-level plateau-and-drop patterning. this table is basically a home version of what trial statisticians already handle with smoothing.

worth the caveat that SURMOUNT-4 and STEP 4 (the actual published data on stopping) tested abrupt discontinuation, not a slow taper like yours, so we don't have trial-grade evidence that a slow taper causes less regain, just that abrupt stopping causes a lot. Your result is a genuinely useful data point precisely because it's rare — most people don't taper slowly and document it.

That is net peptide content, not purity. Different number, different meaning.

small stats nitpick, meant kindly: 3 stalls isn't enough to generalize from on its own, but as a demonstration of the mechanism for one person it's genuinely clean and well presented.

Slight fix: the number was 97.2, not 97.4. Decimal point, but a fairly consequential one.

This is an urgent-care question wearing a forum question's clothes. Please contact a clinician rather than waiting for replies.

a round-robin on baseline integration would be genuinely useful

instrument quality is less important than analyst consistency

Yeah, absolute numbers matter more than the press release.

chromatogram or it did not happen

This is an urgent-care question wearing a forum question's clothes. Please contact a clinician rather than waiting for replies.

This is the correct method framing. Column and gradient are load-bearing fields.

STEP 1 readout: 98.6% mean weight loss, absolute numbers matter. Spread around that mean is enormous.