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What does ATTAIN-1 tell me about injection-site erythema at the 36 mg dose?

Asked 20 Mar 2026Modified 3 months agoViewed 4k times
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The case in front of me: ATTAIN-1 · injection-site erythema · 36 mg.

I would like to know the limits of what can be inferred from this.

What I am trying to avoid is over-reading a single result, which I have done before.

What would I need in addition before this supported a decision?

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askedcoring_risk27k2720 Mar 2026
Is that the primary endpoint or a secondary one? They get quoted interchangeably. – b_delacroix 3 months ago
Do you have the population it was measured in? The figure moves a lot between them. – tandem_gradient 37 days ago
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Only what the 36 mg arm reported, and the denominator is that arm rather than the trial. Adverse-event tables are published per arm, so the 36 mg incidence of injection-site erythema 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 — injection-site erythema occurs in people who received nothing, and the difference is the part attributable to the drug. And check whether ATTAIN-1 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.

The trial answers a narrower question than the headline suggests, and the narrowing is where the useful information is.

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.

The underlying point is that 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.

Be careful about generalising from a trial population to yourself. The exclusion criteria are usually the most informative page in the supplement.

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

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answeredDr_Otto_Lindqvist72k5815 Apr 2026
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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.

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.

The part that matters: 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.

One qualification: absence of a signal in a trial of this size is not evidence of absence for a rare event. It is evidence that the event is rarer than the trial could detect.

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

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answeredDr_Nadia_Farsi104k2473 Apr 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.