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What does REDEFINE-1 tell me about injection-site erythema at the 2.4 mg dose?

Asked 9 Jun 2025Modified 12 months agoViewed 12k times
30

The case in front of me: REDEFINE-1 · injection-site erythema · 2.4 mg.

The figures are clear enough; the question is what they mean and what they do not.

I can supply the numbers if the specifics change the answer.

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

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HC
askedhaze_check9.3k169 Jun 2025
2Same situation here, so I will follow this one. – sian_llewellyn 5 months ago
3Which trial, and which endpoint? The question is answerable once those are named. – pk_curve 7 months ago
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4 Answers

Accepted answer first, then by votes
36

Accepted answer

Only what the 2.4 mg arm reported, and the denominator is that arm rather than the trial. Adverse-event tables are published per arm, so the 2.4 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 REDEFINE-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.

Specifically, 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.

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

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

edited 24 Jun 2025 by pieter_maas — added the citation requested in comments

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answered · acceptedpieter_maas14k1719 Jun 2025
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41

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.

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.

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.

The cardiovascular outcome programme in this class runs to several large randomised trials — LEADER for liraglutide, SUSTAIN-6 and SELECT for semaglutide, REWIND for dulaglutide — and they are the reason the class is discussed as more than a weight intervention.

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

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LC
answeredlabel_claim30k3811 Jul 2025
2I would gently push back — that was a secondary endpoint, not the primary one. – dermot_kiely 5 months ago
Worth flagging that this changed with the 2025 publication, so older answers are out of date. – Dr_Priya_Raghunathan 3 months ago
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27

Before comparing two trials, check whether they share an endpoint definition. Frequently they do not, and the numbers then are not comparable in any sense.

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.

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.

Where a result is quoted from a conference abstract rather than a peer-reviewed publication, the numbers routinely move between the two. It is worth checking which one you are reading.

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

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MH
answeredm_haraldsen21k2723 Jul 2025
5Is the open-label extension included in that figure, or just the randomised phase? – Dr_Priya_Raghunathan 4 months ago
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15

The underlying point is that 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.

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.

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.

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

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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MT
answeredmarcus_thorbjorn9.4k161 Jul 2025
4The exclusion criteria are the most informative page in the supplement and nobody reads them. – Dr_Elias_Weiss 2 months ago
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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.