Extrapolating a point estimate to somebody well outside the enrolled range should be described as an extrapolation every time it is done.
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Topic summary
[2026 update] People with a low starting BMI: where the evidence stops
This is a generated summary. It shows the 5 most-liked posts from a topic of 24, 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.
v.bhattacharya, post #1: People with a low starting BMI: where the evidence stops Writing it up because I had to work it out twice and would rather nobody else did. Asking about a population rather than about a person. The published trials in this class mostly enrolled a fairly specific group, and the questions here frequently come from people well outside it.… Go to post
Older adults: sarcopenia risk is higher, polypharmacy is common, and the clinical trials did not enroll many people over 75. Extrapolating to very old people is extrapolating beyond the data.
I would treat the number as indicative rather than as a measurement.
methods_margin, post #6: Adolescents: a distinct evidence base exists. The compounds are not approved for routine adolescent obesity but are being studied. Adolescent physiology and psychology differ from adults' in ways that matter for this medication class. Go to post
Fair, and the limits you put on it are the part I will remember.
Dedicated trials in under-studied populations are the only real remedy and several are ongoing, which is worth saying rather than speculating.
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- Athletes in weight-category sports: a different risk calculus — a second datasetClinical › Special populations · 41 replies
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