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Clinical · Comorbidities · continued

[2026 update] Cardiovascular risk: reading the outcome trials as a set posts 31–60

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

CN
c.niemelTL3Regular10 May 2025#31

Reading back through, this was answered upthread and I missed it. My fault.

0 likes 15mo
ND
n.dziedzicTL212 May 2025#32

Type 2 diabetes: the population with the largest evidence base for these compounds. The SURPASS and SUSTAIN programmes established glycaemic benefit. The renal and cardiovascular benefit evidence is separate from the glycaemic benefit evidence.

This is the sort of thing the wiki should carry and currently does not.

18 likes 15mo
OC
o.cousineauTL3Regular14 May 2025#33
sa.okonkwo, post #1: Posting this under the heading it deserves: Cardiovascular risk: reading the outcome trials as a set Everything below is what sits behind that. I have spent a fortnight trying to pin Cardiovascular risk down and I want to set out where I have got to, because I suspect the honest answer is duller than the thread this will produce. What I… Go to post

Something worth flagging about Cardiovascular risk: the strongest-sounding claims in this thread are the ones with no source attached, which is the usual pattern and not a coincidence.

4 likes in reply to #1 14mo
NN
n.nakamuraTL215 May 2025#34
g.pemberton_uk, post #27: Marking my place. If it changes for me I will come back and say so. Go to post

The arithmetic in post #32 is right; the assumption feeding it is the part to check.

I have three months of notes on Cardiovascular risk and the honest summary is that the trend is real and the week-to-week numbers are noise. I nearly drew the opposite conclusion from the first fortnight.

0 likes in reply to #27 14mo
EO
e.okaforTL217 May 2025#35

Mechanistic reasoning about a population that was excluded from the trials has an unimpressive track record. It is a good way to generate a question for a clinician.

The short version is the first sentence; the rest is why.

0 likes 14mo
NV
n.vogelTL219 May 2025#36

Age at the extremes of the studied range is an extrapolation in both directions, and the trials generally studied a narrower band than the discussion assumes.

25 likes 14mo
SR
s.rasmussenTL221 May 2025#37

Post #35 describes the usual case. This is about the unusual one.

Adding what did not work for me on Cardiovascular risk, since the failures never get written up and they are half the useful information.

7 likes 14mo
LT
l.trevinoTL222 May 2025#38
n.nakamura, post #34: The arithmetic in post #32 is right; the assumption feeding it is the part to check. I have three months of notes on Cardiovascular risk and the honest summary is that the trend is real and the week-to-week numbers are noise. I nearly drew the opposite conclusion from the first fortnight. Go to post

Adding the measurement that post #35 says would settle it.

Cardiovascular risk has a well-known answer and a correct answer, and the interesting work is establishing that they are the same. Nobody has done that here yet.

1 like in reply to #34 14mo
BP
bench_peakTL3Regular24 May 2025#39

Nothing here is medical advice and clinicians posting in this subcategory say so on their own account rather than because a rule requires it.

0 likes 14mo
TB
t.batistaTL226 May 2025 · edited#40
n.hartmann, post #22: Where the honest answer is "nobody knows", giving it plainly is more useful than a confident synthesis of mechanism and anecdote. That is one dataset and I would not build a rule on it. Go to post

Post #39 is right about the mechanism and I think understates the practical bit.

Where the Cardiovascular risk discussion usually stalls is that nobody wants to say "I do not know" and everyone is willing to say "it varies". Those are the same sentence with different clothes on.

33 likes in reply to #22 14mo
RE
r.erdoganTL227 May 2025#41

Adding the measurement that post #40 says would settle it.

Where somebody is on several medicines, the interaction question and the comorbidity question are entangled and both belong with a pharmacist.

The number is defensible. The precision I gave it is not.

6 likes 14mo
DH
dietitian_hollisTL3Dietitian29 May 2025#42

Post #38 describes the usual case. This is about the unusual one.

Multiple comorbidities: a person with diabetes, kidney disease, and cardiovascular disease is outside the studied populations in most trials. Extrapolating to that person requires reasoning from the individual component trials and mechanisms.

16 likes 14mo
BK
b.kowalskiTL231 May 2025#43
NHuddleston, post #23: Narrowing post #22, because the general version has more than one answer. Mechanistic reasoning about a population that was excluded from the trials has an unimpressive track record. It is a good way to generate a question for a clinician. Go to post

Acknowledging rather than arguing. The reasoning holds as far as I can follow it.

31 likes in reply to #23 14mo
EF
e.ferreiraTL3Regular1 Jun 2025#44

On Cardiovascular risk I would separate what is worth knowing from what is worth acting on. The first list is long and the second is short, and conflating them is how threads get heated.

0 likes 14mo
AV
a.vukovicTL23 Jun 2025#45

Picking up post #44: that is the part I would want checked first.

A note on how Cardiovascular risk gets discussed rather than on Cardiovascular risk itself: the confident posts get the replies and the careful ones get ignored, and the careful ones have been right more often.

10 likes 14mo
RA
r.aldana_pharmdTL4Pharmacist5 Jun 2025#46

Asking about a population rather than about yourself is a legitimate framing and generally gets a better answer, because the general case is answerable.

22 likes 14mo
SM
s.mbekiTL26 Jun 2025 · edited#47
so.mbeki, post #30: Exclusion criteria in the pivotal programmes were specific and are published. Reading the actual criteria is more informative than assuming which conditions were excluded. Go to post

Cardiovascular disease: several compounds have cardiovascular outcome trials. SELECT was in people without diabetes; SUSTAIN 6 was in high-risk diabetes. Absolute benefit is largest in high-risk people.

I would rather be precise about what I do not know than vague about what I do.

0 likes in reply to #30 14mo
NA
n.abernathyTL3Analytical chemist8 Jun 2025#48

I had written a reply contradicting post #46 and deleted it. Here is what survived.

Interactions between comorbidities: diabetes and kidney disease together change the risk calculation for hypoglycemia and for medication clearance. They are not independent variables.

Filing this under things that are true until someone shows me otherwise.

1 like 14mo
KF
k.fonsecaTL210 Jun 2025#49

I would call the community position on Cardiovascular risk likely rather than established, and I would be comfortable defending that hedge.

15 likes 14mo
KV
k.vanheckeTL211 Jun 2025#50
f.yildiz, post #26: Cardiovascular risk looks different depending on whether you are reading the primary literature or the summaries of it, and the difference is not in our favour. Go to post

One more thing on Cardiovascular risk that took me far too long to see: the two figures people quote are not measuring the same quantity. Once you notice that, the apparent contradiction disappears.

30 likes in reply to #26 14mo
CN
cohort_notesTL2Member13 Jun 2025#51

No disagreement from me. Posting only so the question does not look ignored.

3 likes 13mo
SP
s.perrinTL215 Jun 2025#52

Exclusion criteria in the pivotal programmes were specific and are published. Reading the actual criteria is more informative than assuming which conditions were excluded.

0 likes 13mo
GC
glossary_checkTL2Member16 Jun 2025#53

I read post #49 twice before replying, because I had assumed the opposite.

Worth separating Cardiovascular risk as a question about the compound from Cardiovascular risk as a question about the documentation. They get answered by different people and only one of them is answerable here.

29 likes 13mo
AK
an.kirchnerTL218 Jun 2025#54
f.rasmussen, post #16: Building on post #14 rather than restating it. Cardiovascular risk is a good example of a question where the honest answer is boring and the interesting answers are unsupported. I would go with boring. Go to post

Post #53 answers the question as asked. The question underneath it is different.

Where I have landed on Cardiovascular risk, having got it wrong once in public: the direction is clear, the magnitude is not, and anyone quoting a precise magnitude has borrowed it from somewhere that did not measure it.

15 likes in reply to #16 13mo
EF
erratum_fileTL3Regular19 Jun 2025#55

Type 2 diabetes: the population with the largest evidence base for these compounds. The SURPASS and SUSTAIN programmes established glycaemic benefit. The renal and cardiovascular benefit evidence is separate from the glycaemic benefit evidence.

I am reporting what happened, not recommending it.

5 likes 13mo
HJ
h.jansenTL221 Jun 2025#56

For anyone finding this later: the short answer on Cardiovascular risk is that it depends on one thing, and the rest of the thread is people identifying which thing.

0 likes 13mo
G
GEldridgeTL3Regular22 Jun 2025 · edited#57
e.okafor, post #35: Mechanistic reasoning about a population that was excluded from the trials has an unimpressive track record. It is a good way to generate a question for a clinician. The short version is the first sentence; the rest is why. Go to post

Coming back to post #53, because the follow-up matters more than the original answer.

Before the thread moves on from Cardiovascular risk — what is the sample size behind the claim? I am not being difficult; I have seen the same figure quoted from an n of four and from an n of four hundred.

0 likes in reply to #35 13mo
AK
a.krastevTL224 Jun 2025#58
NHuddleston, post #23: Narrowing post #22, because the general version has more than one answer. Mechanistic reasoning about a population that was excluded from the trials has an unimpressive track record. It is a good way to generate a question for a clinician. Go to post

Where a condition is well controlled and where it is not are different questions and the published data rarely distinguishes them.

21 likes in reply to #23 13mo
DB
d.bramleyTL3Regular26 Jun 2025#59

Post #57 put the caveat in the right place and I want to underline it.

I disagree with the framing of Cardiovascular risk above, and I think it is a substantive disagreement rather than a terminological one. Setting out why, so it can be checked.

The reasoning depends on an assumption that is doing a lot of work and is never stated. If the assumption holds, the conclusion follows. I do not think it holds generally.

9 likes 13mo
AN
a.nascimentoTL227 Jun 2025#60

Building on post #57 rather than restating it.

Source for the Cardiovascular risk figure, since it was asked for. It is in the discussion rather than the abstract, which is why the version circulating is stronger than the paper is.

Reading the surrounding paragraph is worth the two minutes. The authors are more careful than their summarisers.

2 likes 13mo