Why is the 72-week tirzepatide trial still the benchmark?

2026-09-25 5989 views 45 posts

Been reading trial listings again and got stuck on NCT04184622: 2539 people, placebo vs tirzepatide 5, 10, and 15 mg, primary period week 0 to week 72. Then I see NCT07382024 is only 200 people for recurrence/burden after AF ablation, not yet recruiting.

I get that endpoints are different, but why does the 72-week obesity/overweight study feel like the reference point for every argument? I'm a few months in and labs are moving in the right direction, so I'm trying to calibrate expectations. What am I missing about trial size vs duration?

72 weeks is long enough to show separation, but 2539 participants is what makes it hard to ignore. Smaller trials answer narrower questions.

Different endpoints, different sample sizes. Simple as that.

The AFib study isn't trying to prove weight loss. It's recurrence burden after ablation, so 200 might be enough for that signal.

I think people quote the 2539-participant trial because it had placebo and three dose arms over 72 weeks. Clean design. The 200-person study is a different question. Comparing them is like comparing a marathon to a sprint. Still, I wish more trials reported longer follow-up after the primary period.

Yeah — the part people forget when comparing options: 5/10/15 mg arms make dose-response way easier to talk about than a single-arm setup.

But n=200 isn't tiny for a focused endpoint. Depends on event rate.

Right, but event rate is doing a lot of work there. If recurrence is common enough, 200 can show a difference.

LY3457263 is also 200 and recruiting, but it's an add-on study in T2D on stable sema or tirz. Narrow question.

The rodent thyroid C-cell tumor signal keeps getting dragged into these threads. The weight-of-evidence analysis lists tirzepatide among seven approved GLP-1RAs across six domains and reports rodent thyroid C-cell tumors.

That's not the same as human risk, and it doesn't tell us anything about trial size. I just think it's another reason people over-index on the big 72-week dataset: they want one study to answer efficacy, safety, and durability all at once.

I don't thikn one study can answer all three. That's the whole problem with forum debates.

What labs moved for you? I'm more interested in real-world trends than another trial-size argument.

The 72-week thing sticks because most of us live in 12-week insurance windows. I logged waist at 0, 12, 24, 52, 72. At week 12 I was down 9 lbs, week 24 down 22, week 52 down 31, then week 72 down 34. The last 20 weeks were mostly sleep, protein, and walking 7k steps.

The surprising part: my best week wasn't early, it was week 58 after I fixed weekends. So long trials match real life plateaus.

72 weeks also catches wedding season, holidays, and vacations. Twelve-week streaks have a habit of dying at Thanksgiving — every time.

Meanwhile every coverage breakdown I've looked at goes 24 weeks and then just... stops. So that benchmark is basically fantasy.

I track waist not scale. Lost 3 inches by week 40, scale barely moved for a month.

I finally slept 7 hours for two weks and my appetite dropped before any scale change.

My scale lied every Friday for three months, so I switched to daily weigh-ins and a 14-day average. That average dropped 1.8 lbs when individual Fridays looked flat or up. The 72-week design lasts that long because short windows catch water swings, takeout nights, and stress and call it a plateau.

I hit 8k steps by walking during phne meetings; my resting heart rate dropped 11 bpm before the scale moved.

I lost only 4 lbs across 12 weeks and still went down two shirt sizes, which broke my brain. That stretch taught me the 72-week thing isn't about patience, it's about letting food habits get boring.

I added 30g protein at breakfast, stopped grazing after 8pm, and walked 20 minutes after dinner. Weeks 16-28 the scale barely moved but my belt went from notch 4 to notch 2. Then weeks 29-40 dropped 13 lbs without changing anything. I still weigh daily, but I only judge the 14-day average.

The benchmark feels long because it's the first timeline where consistency stops being a personality trait and just becomes Tuesday.