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Ben Moran
@benmoran.bsky.social
Intensivist/Anaesthetist. Novice Researcher & Statistician. PhD Cand. Chronic Pain after ICU & Longitudinal Causal Inference. Bayes-curious. #T1DM
207 followers185 following59 posts
BMbenmoran.bsky.social

Therein lies the problem- we will likely not know what their baseline is. Same goes with BP and using this for vasopressor titration (instead we use a universal MAP). How do we get around this?

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BMbenmoran.bsky.social

Screams in diabetic...

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BMbenmoran.bsky.social

Agree. Ahh, haloperidol, the teflon drug!

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BMbenmoran.bsky.social

But this may also happen with non-RAR randomisation as well. Small centres that are low recruiters with a different demographic may have different outcomes to larger (metropolitan) centres. Most ICU trials are like this. It rarely gets spoken about, though.

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BMbenmoran.bsky.social

And patients do get better care, regardless of which arm they are allocated. As for the breaches of trust, I can understand that. I come from a viewpoint that we should enrol every pt into a trial.

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BMbenmoran.bsky.social

The effect on confounding doesn't apply here, as randomisation has nothing to do with confounders.

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BMbenmoran.bsky.social

Centre effects are adjusted for (either through adjustment for stratification or as a random effect), but the missing arms may have more of an effect on allocation concealment/blinding (depending on the design). Whether this has much of an effect on the overall estimate 🤷‍♂️.

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BMbenmoran.bsky.social

But REMAP-CAP is the biggest international BAPT program in the world, and mistakes will happen. They were transparent about it and discuss how they will minimise these risks in the future.

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BM
Ben Moran
@benmoran.bsky.social
Intensivist/Anaesthetist. Novice Researcher & Statistician. PhD Cand. Chronic Pain after ICU & Longitudinal Causal Inference. Bayes-curious. #T1DM
207 followers185 following59 posts