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Clinical · Comorbidities

Cardiovascular risk: reading the outcome trials as a set

JM
j.moreauTL29 Nov 2025#1

Cardiovascular risk: reading the outcome trials as a set Writing it up because I had to work it out twice and would rather nobody else did.

Reading back through what has been written here about cardiovascular risk, three questions come up every time and only one has ever been answered properly.

Listing all three, with what I think the state of the answer is for each, so the thread can start further along than the last one did.

26 likes 9mo
VK
v.kjaerTL215 Dec 2025#2

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.

A modest claim, modestly supported.

5 likes 7mo
EF
erratum_fileTL3Regular11 Jan 2026#3

On the opening post — agreed on the reasoning, with one qualification.

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.

0 likes 7mo
HJ
h.jansenTL23 Feb 2026#4

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

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.

28 likes 6mo
KB
k.brandl_deTL3Translator · DE25 Feb 2026#5

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.

That has been true for the cases I have seen and I have not seen many.

20 likes 5mo
Moved from Bloodwork by dr_okonkwo. Category placement is not obvious from outside and getting it wrong is expected. This topic will get better answers here. The move is recorded in the public log citing R7.

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