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Forums›Public Square›Weekly check-in thread — need advice › Page 2

Weekly check-in thread — need advice

greg_boulder Fri, Apr 5, 2024 at 2:30 AM 52 replies 2,715 viewsPage 2 of 11
HPLC_Greg
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Apr 5, 2024 at 5:03 AM#6
LabKate said:
The gap between trial results and real-world results is consistent and it is not fraud.

I read this differently from LabKate, on substance rather than tone. I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them. The results probably generalise, and "probably" should be stated as an assumption rather than dropped.

Last edited: Apr 5, 2024 at 11:03 AM
16 19SallyK_inj, CryptoCarl, MariaRD and 13 others
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labquiet_amy
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Apr 5, 2024 at 6:03 AM#7
I keep finding that the number in the press summary and the number in the paper are not the same number, and the difference is always in the same…
...regarding the trial evidence...

I think this is an underappreciated point. To expand on it with some data:

A recent meta-analysis of 15 RCTs (n=12,300) found that the trial evidence was associated with a clinically meaningful effect size across diverse patient populations[1].

The NNT was 12, which is comparable to statins for secondary prevention. That's a strong clinical argument for this approach.

Last edited: Apr 5, 2024 at 8:03 AM
17 20HPLC_Greg, LibrarianMeg, bri_stats and 14 others
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pat_auckland
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Apr 5, 2024 at 7:03 AM#8
I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them.

Bayesian meta-analysis perspective on the trial evidence: traditional frequentist meta-analyses report point estimates and confidence intervals. Bayesian approaches provide probability distributions that are more intuitive for clinical decision-making.

For example: "There is a 98.5% probability that semaglutide 2.4mg produces >10% weight loss vs placebo" is more actionable than "RR 3.4, 95% CI 2.8-4.1, p<0.001."

The the trial evidence evidence is strong under both frameworks, but Bayesian analysis better communicates the degree of certainty for individual patient counseling.

Last edited: Apr 5, 2024 at 11:03 AM
18 21LarryQC_SD, wanda_boise, NurseAsh_DET and 15 others
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SkepticalSean
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Apr 5, 2024 at 8:03 AM#9

A narrower follow-up, since the general answer is now clear:

How would you tell the difference between that and the alternative explanation?

19 22tammy_FL, Dr.LipidDallas, alex_tucson and 16 others
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greg_boulder
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Apr 5, 2024 at 12:50 PM#10

Closing the loop on my own question.

Update — my curve sits below the published mean and the explanation is that the trial arm had support I do not have. That was reassuring rather than otherwise.

Last edited: Apr 5, 2024 at 2:50 PM
23 23ben_calgary, patPC_UT, Dr.DermMIA and 20 others
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