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c/trialwatch·posted 3 months ago by u/nhs_waitlist_n

what would you tell week-1 you about SELECT

Stats

Confession thread, sort of.

I went from 1.7mg to 0.25mg much faster than I should have because the scale had stalled and I got impatient. The stall broke about 3 weeks later, at which point I had no way of knowing whether the dose increase did anything or whether it would have broken anyway.

So now I have reflux I did not need and a data point I cannot interpret. Two lessons in one.

Posting it in the hope that somebody at week 51 reads it before doing the same thing.

140 up / 45 down76% upvoted14 commentsid 11pznq11 Apr 2026

14 comments

14 in this archive, depth 4

best — the order this archive was captured in

u/curious_panel_only23 points·3 months ago

STEP, SURMOUNT, SURPASS, SELECT, FLOW, TRIUMPH — read the appendix

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u/trialwatch_theoMOD16 points·3 months ago

Flair changed to match the content. Read the sidebar before posting next time and we are square.

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u/nhs_waitlist_nOPUK-34 points·3 months ago

the relative risk reduction in headlines is not the whole story

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u/anders_karlsen1 point·3 months ago

dropout handling matters, especially on GI-heavy populations

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u/plateau_patrol1 point·3 months ago

dropout handling matters, especially on GI-heavy populations

Yes, exactly this, and it is the bit that took me 52 weeks to accept.

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u/nhs_waitlist_nOPUK1 point·3 months ago

STEP 1 readout: 97.9% mean weight loss, absolute numbers matter. Spread around that mean is enormous.

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[deleted]8 points·3 months ago

[deleted]

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u/rina_sobczak4 points·3 months ago

give the trial name, phase, n, and primary endpoint in the body

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u/annika_fonseca8 points·3 months ago

Three years on this site and the questions have not changed at all. Which is depressing or reassuring depending on the day.

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u/nhs_waitlist_nOPUK3 points·3 months ago

STEP 1 readout: 96.2% mean weight loss, absolute numbers matter. Spread around that mean is enormous.

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u/hugo_norgaard1 point·3 months ago

off-label use data is different from approved-indication data

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u/naomi_ekstrom6 points·3 months ago

The evidence standard in c/vendorvetting gets called too strict about once a month, and every time, the thread ends with the complainant agreeing.

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u/yusuf_achebe3 points·3 months ago

The evidence standard in c/vendorvetting gets called too strict about once a month, and every time, the thread ends with the complainant agreeing.

Counter-anecdote: opposite result, same dose. Which mostly tells us the variance is huge.

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u/plateau_patrol2 points·3 months ago

absolute risk reduction, not relative risk reduction, that is how you decide

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Clinical trial reading group. New readouts, protocol amendments, endpoint definitions, dropout handling, and the difference between a press release and a publication. Absolute risk reduction and number-needed-to-treat are house dialect here.

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