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c/trialwatch·posted 5 months ago by u/joaquin_stanescu

how much of what we believe about endpoint actually comes from SURMOUNT threads

Trial Data Slow Clap ×4 Sourced ×3

Asking properly rather than in a comment on somebody else’s thread: how much of what we believe about endpoint actually comes from SURMOUNT threads.

Compared myself to a trial mean for about six months before realising the trial arm had dietitian contact every fortnight.

The discontinuation numbers were the most useful thing in the paper for me and they were in a supplementary table.

Went looking for the registered protocol to see whether the endpoint had changed. It had not, which was reassuring and worth checking.

Not medical advice, obviously, and nothing here is approved for human use. One person with a spreadsheet.

2,140 up / 302 down88% upvoted52 commentsid 59fiox15 Feb 2026

52 comments

30 in this archive, depth 5

best — the order this archive was captured in

u/marit_laurent131 points·5 months ago

Cardiovascular outcome trials are powered for events, not for weight, and are typically run in a different population with different inclusion criteria. Reading a weight number out of one is reading a secondary endpoint.

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[deleted]191 points·5 months ago

[deleted]

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u/hugo_norgaard74 points·5 months ago

Same. A press release is a claim about a result; the publication is the result.

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u/curious_panel_only55 points·5 months ago

Why comparing across trials almost never works, with the specific failure modes.

Different populations: an obesity programme and a diabetes programme enrol different people with different baseline characteristics. Different endpoints: body weight change, glycaemic control and cardiovascular events are not convertible. Different durations: 68 weeks and 72 weeks are not the same, and the curves have not flattened by either.

Different analysis populations: one paper reports intention-to-treat, another emphasises completers. Different support: some trial designs include structured lifestyle contact that no member of this board receives.

Stack those and the "X beats Y" tables that circulate here are comparing five things at once and attributing the difference to the molecule.

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u/ines_castellanos-36 points·5 months ago

discontinuation rate is a result, not a footnote

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u/blunt_coldbox_notes32 points·5 months ago

Yes. The appendix tables are where the subgroup and the adverse event detail actually live.

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u/nikhil_lindqvist8 points·5 months ago

Argued for a week about a result and then read the limitations section, which conceded most of my opponent’s point.

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u/milos_vanhecke50 points·5 months ago

Yes — the interval is the finding. A point estimate with a wide interval is a hypothesis in a nice font.

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u/joaquin_stanescuOP29 points·5 months ago

Is that intention-to-treat or completers?

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u/rina_sobczak35 points·5 months ago

Read a press release and the publication three months apart. The hedging in the second one was substantial.

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u/annika_fonseca29 points·5 months ago

phase 2 finds a dose, phase 3 measures the effect

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u/curious_panel_only20 points·5 months ago·edited

That is the 68-week readout, not the 72-week one. Different trial, different duration.

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u/hugo_bergstrom9 points·5 months ago

a mean is not a promise

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u/joaquin_stanescuOP7 points·5 months ago

Started keeping the trial identifiers straight in a note file because I kept mixing up two programmes in the same sentence.

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u/ewan_tulloch10 points·5 months ago

check who the comparator was before you compare anything

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u/receipts_or_nothingvetting5 points·5 months ago

Quoted a figure here confidently, got asked whether it was ITT, went and checked, and it was not. Learned something.

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u/formulary_fighterappeals24 points·5 months ago

A confidence interval is the range of effects compatible with the data. Two trials with overlapping intervals have not disagreed, whatever their point estimates look like next to each other.

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u/yusuf_achebe11 points·5 months ago

Agreed on comparators. "Superior" means nothing until you know superior to what and at what dose.

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u/joaquin_stanescu5 points·5 months ago

The registered protocol is public. Comparing the registered primary endpoint with the reported one is a two-minute check and it is how outcome switching gets caught.

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u/emil_agyeman21 points·5 months ago

Intention-to-treat analyses everybody randomised regardless of what they did afterwards. Completer analyses only those who finished. The second is systematically more flattering and both are legitimate if labelled.

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u/alcohol_aversion15 points·5 months ago

Open-label extensions lose their randomisation. Anybody still enrolled at week 104 is a selected group and the numbers describe that group.

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u/joaquin_stanescuOP7 points·5 months ago

Spent an evening with the appendix tables and found the subgroup detail that the entire thread had been speculating about.

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u/injection_site_iris3 points·5 months ago

Cosigning on discontinuation. It is a result about tolerability and it gets buried every time.

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u/enzo_ferrari1 point·5 months ago

read the endpoint before you read the headline

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u/hugo_bergstrom1 point·5 months ago

intention to treat versus completers changes the number substantially

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u/rina_bergstrom8 points·5 months ago·edited

Open-label extensions lose their randomisation.

alcohol_aversion is right about the programme names. They are different populations with different endpoints.

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u/injection_site_iris8 points·5 months ago·edited

Correction: SURMOUNT is the obesity programme and SURPASS is the diabetes one. The figure you quoted belongs to the other one.

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u/hugo_norgaard6 points·5 months ago

That is a relative risk reduction. Quoting it without the absolute numbers overstates the case considerably.

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u/tove_ogunleye13 points·5 months ago

FLOW was kidney outcomes and it is the one nobody quotes

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u/kaia_cabrera7 points·5 months ago

the appendix is where the interesting tables live

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