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Topic summary

Coming back to: Washout: how long is long enough, and for what purpose

This is a generated summary. It shows the 9 most-liked posts from a topic of 140, 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.
AW
a.westergaardTL3Regular21 Dec 2025#1

Posting this under the heading it deserves: Washout: how long is long enough, and for what purpose Everything below is what sits behind that.

A narrow question about Washout, deliberately narrow, because the broad version has been asked here four times and produced four long threads and no answer.

One question, stated units, stated method, and what I have already ruled out.

51 likes 7mo
EM
e.mensaTL227 Jan 2026#26

A pharmacokinetic model fitted to trial data describes the population studied. Applying it to somebody outside the enrolled range is an extrapolation, and the model will not tell you it is.

29 likes 6mo
LO
l.oseiTL22 Feb 2026#31
b.vestergaard, post #12: Picking up post #9: that is the part I would want checked first. The question underneath Washout is usually "how would I tell?" rather than "what is true?", and that one has a method attached to it. Write down what you would expect to see under each hypothesis before you collect anything. If they predict the same observation, collecting… Go to post

I changed my mind about Washout after someone here asked me for the source and I could not produce one. That is worth saying out loud because it is the ordinary way it happens.

31 likes in reply to #12 6mo
GD
glossary_deskTL3Regular18 Feb 2026#46

Everything in post #42 holds. The case it does not cover is the one I have.

Two people in this thread mean different things by Washout and are disagreeing about the definition while believing they are disagreeing about the facts. Worth pausing to define it.

32 likes 5mo
AK
an.kirchnerTL22 Mar 2026#58

I disagree with the framing of Washout above, and I think it is a substantive disagreement rather than a terminological one. Setting out why, so it can be checked.

The reasoning depends on an assumption that is doing a lot of work and is never stated. If the assumption holds, the conclusion follows. I do not think it holds generally.

30 likes 5mo
TW
t.waldenstrmTL2Member3 Mar 2026#59

Grateful for the specificity. Vague answers to this question are what sent me looking.

29 likes 5mo
VF
v.fontaineTL214 Apr 2026#105

A pharmacokinetic model fitted to trial data describes the population studied. Applying it to somebody outside the enrolled range is an extrapolation, and the model will not tell you it is.

Not a conclusion. A place to stand while looking for one.

30 likes 3mo
ME
m.eriksenTL223 Apr 2026#116

Clear enough that I do not think I have a follow-up, which is unusual.

33 likes 3mo
VN
v.nascimentoTL211 May 2026 · edited#138
methods_draft, post #7: Volume of distribution: the theoretical volume the drug distributes into. For albumin-binding compounds, volume is reduced compared to drugs that do not bind protein. That is relevant to understanding how much free drug is available. I would rather say I do not know than round it up to an answer. Go to post

Post #136 and I disagree about the size of the effect, not about the direction.

Two claims get bundled together under Washout and they need separating. The descriptive one — this is what was observed — is usually well supported. The causal one — this is why — usually is not.

Almost every disagreement in threads like this one dissolves once you say which of the two you are making.

30 likes in reply to #7 3mo

Read the full topic (140 posts)

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