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What does SURPASS-2 tell me about reflux at the 15 mg dose?

Asked 19 Apr 2026Modified 1 min agoViewed 10k times
21

What I am working with: SURPASS-2 · reflux · 15 mg.

I would like help reading this properly rather than being told what conclusion to reach.

I have the full report including the method section, so I can quote specifics if that helps.

What can I legitimately conclude from this figure?

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GA
askedgrainne_ahearn50k3819 Apr 2026
8Worth saying whether you want relative or absolute risk. They read very differently. – pascal_thibault 6 months ago
Same question, and the two papers I found disagree, which is why I am watching. – bac_or_bust 8 months ago
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5 Answers

Accepted answer first, then by votes
41

Accepted answer

Only what the 15 mg arm reported, and the denominator is that arm rather than the trial. Adverse-event tables are published per arm, so the 15 mg incidence of reflux has its own numerator and its own denominator, and pooling it with the other arms produces a figure that describes nobody. Two further deductions before you use it. Subtract the placebo arm — reflux occurs in people who received nothing, and the difference is the part attributable to the drug. And check whether SURPASS-2 counted events or counted participants: one participant with six episodes is one row in a participant count and six in an event count, and the two get quoted interchangeably. Nothing here is medical advice.

To be exact about it, the trial answers a narrower question than the headline suggests, and the narrowing is where the useful information is.

A composite endpoint is only as informative as its least serious component. Where a cardiovascular composite combines death, infarction and stroke, ask which component moved, because they are not interchangeable outcomes.

Trial populations are selected. Exclusion criteria in this class routinely remove people with significant renal impairment, prior pancreatitis and unstable psychiatric illness, which is exactly the population the results are then quoted for.

Registry entries at ClinicalTrials.gov carry the pre-specified primary endpoint with a timestamp, which is the cheapest available check on whether an endpoint was changed after the data were seen.

The short version: check the endpoint, check the comparator, check who was excluded, then look at the number.

edited 5 Aug 2026 by Dr_Ingrid_Baumgartner — tightened the wording; no substantive change

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DB
answered · acceptedDr_Ingrid_Baumgartner73k588 Jul 2026
3This should be linked from the help pages. – Dr_Colm_Fitzhenry 33 days ago
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35

The short version: the effect is real, the magnitude depends on the population, and the population is usually the part that gets dropped when a result is quoted second-hand.

Placebo arms in this class are not nothing. Lifestyle-intervention placebo arms in the major obesity trials commonly lose two to three per cent of body weight, so an active-arm figure quoted without its comparator overstates the drug effect by roughly that much.

Open-label extensions are not the same evidence as the randomised phase. Once everyone knows what they are taking, the reported outcomes acquire a bias that no analysis fully removes.

When two sources disagree, the answer is almost always in the methods section of the one you have not read.

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DF
answeredDr_Nadia_Farsi104k24715 Jun 2026
Minor: the trial name is hyphenated in the original publication. – charge_state_3 9 months ago
8Thank you — this is the answer I was looking for. – Dr_Ilse_Vandenberg 8 months ago
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19

A trial establishes what happened to a defined group under a defined protocol. Extending it beyond that group is inference, and inference is allowed as long as it is labelled.

Intention-to-treat and per-protocol analyses answer different questions. ITT asks what happens if you offer the treatment; per-protocol asks what happens if it is taken as directed. The gap between the two is a measure of how tolerable the protocol was.

Non-inferiority and superiority designs are not interchangeable. A non-inferiority result says the new agent is not meaningfully worse against a pre-specified margin — it does not say it is as good, and it certainly does not say it is better.

Meta-analyses in this area are dominated by whichever trial contributed the most participants, so read the forest plot rather than the summary estimate.

Quote the interval alongside the estimate and half the disagreements on this site would not start.

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IB
answeredilaria_bertone33k3820 Apr 2026
2Is the open-label extension included in that figure, or just the randomised phase? – h_pergande 5 months ago
3Do you have a reference for the last claim? Not disputing it, just want to read it. – Dr_Malik_Osei 7 months ago
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11

Answer first: read the primary endpoint, the comparator and the population before you read the effect size. Almost every argument on this site about a trial is really an argument about one of those three.

Confidence intervals matter more than point estimates when two trials disagree. Two studies reporting fifteen and twenty per cent whose intervals overlap heavily have not disagreed about anything.

Read the protocol and the statistical analysis plan if the result matters to you. Both are usually published alongside.

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DA
answeredDr_Rosalind_Achebe69k1476 Jun 2026
-2

The honest answer here is that the published evidence supports part of the claim and is silent on the rest, and it is worth being precise about which part is which.

Duration decides what can be seen. A 68-week trial can measure weight and glycaemia; it cannot measure anything whose event rate is one per cent per year without enrolling tens of thousands.

If a claim cannot be traced to a named trial with a named endpoint, treat it as a claim rather than as evidence.

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RP
answeredravi_pillai12k1714 May 2026

Your answer

Ask PeptideStack is a static archive. Posting is closed, but the norms are worth stating: answer the question that was asked, show your working, cite the trial or the certificate, and say plainly where the evidence runs out.

Not medical advice. Research-use-only compounds are not approved for human use.