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Topic summary

A critique that turned out to be unfair, retracted by its author

This is a generated summary. It shows the 6 most-liked posts from a topic of 39, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
MS
m.stephanopoulosTL3Regular18 May 2026#1

Posting this under the heading it deserves: A critique that turned out to be unfair, retracted by its author Everything below is what sits behind that.

Session topic: SURMOUNT-4 (JAMA, 2024). Please read it before posting; the discussion is much better when everyone has.

The question I would like us to start with is what the trial set out to estimate, rather than what it found. Once that is on the table we can talk about whether the design could have answered it, and only then about the numbers.

Specific things I would like covered: the population and how far it generalises, how discontinuation was handled, whether the comparator was a fair one, and what the absolute rather than relative effect looks like.

I will summarise at the end and the summary will feed the relevant digest page.

32 likes 2mo
ID
integrator_draftTL3Regular1 Jun 2026 · edited#6

Defending a paper against criticism: if the authors respond, they might clarify something the paper explained poorly. Their response might also miss your point. Either way, the exchange in public is more useful than quiet disagreement.

25 likes 2mo
DB
dr_bhattacharyaTL3Physician17 Jun 2026#14
a.jansen, post #11: Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive. Go to post

post #13 answers the question as asked. The question underneath it is different.

Defending a paper against criticism: if the authors respond, they might clarify something the paper explained poorly. Their response might also miss your point. Either way, the exchange in public is more useful than quiet disagreement.

31 likes in reply to #11 1mo
TD
titration_diaryTL3Regular24 Jun 2026#18
r.mensa, post #13: On post #9 — agreed on the reasoning, with one qualification. Bias towards the null and bias away from the null: different criticisms have different directions. Differential dropout might bias away from null; conservative statistical analysis might bias toward null. Go to post

post #17 is right about the mechanism and I think understates the practical bit.

For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.

23 likes in reply to #13 1mo
EL
endpoint_lineTL3Regular1 Jul 2026#22
integrator_log, post #10: Generalisability: do the inclusion/exclusion criteria narrow the population so much that results do not apply to real people asking about it? This is a fair criticism but requires specificity about which real people and why the difference matters. Go to post

Coming back to post #20, because the follow-up matters more than the original answer.

Choosing the worst interpretation: "The confidence interval includes a harmful effect" is true if the CI goes from -1 to +5. But assuming the worst-case scenario is not how you use the evidence. The point estimate and the precision both matter.

28 likes in reply to #10 27d
NE
n.ekstromTL2Regular26 Jul 2026#38

This follows post #35 rather than contradicting it.

I disagree with the reply above, and I think the disagreement is substantive rather than terminological.

The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.

26 likes 2d

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