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c/trialwatch·submitted 2 years ago by u/alcohol_aversion

SELECT: what the trials say vs what this community says

Trial Databranch of 8 comments

SELECT: what the trials say vs what this community says — a position I have arrived at slowly and would like tested. Why comparing across trials almost never works, with the specific failure modes. Different populations: an obesity programme and a diabetes programme enrol different people with different baseline…

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8 comments, started 2 years ago
u/receptor_bias_rick-23 points·2 years ago

On means, which this board treats as targets and which are nothing of the sort.

A reported mean body weight change is the centre of a distribution that in these trials is very wide. Substantial numbers of participants did much better, and substantial numbers did considerably worse while remaining on the drug and in the analysis.

Quoting the mean as an expectation therefore misleads in both directions: it makes ordinary results look like failures and it makes exceptional results look normal. If a paper publishes the distribution — and several do, in the appendix — look at that instead. It is far more informative than the number in the abstract.

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u/cloudy_vial_carol1 point·2 years ago·edited

Discontinuation rates are a tolerability result. A trial with a strong efficacy number and heavy discontinuation is telling you two things and people only quote one.

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u/alcohol_aversionOP1 point·2 years ago·edited

Which trial, and which arm?

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u/anders_karlsen1 point·2 years ago

Quoted a figure here confidently, got asked whether it was ITT, went and checked, and it was not. Learned something.

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u/naomi_ekstrom1 point·2 years ago

a mean is not a promise

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u/yara_bakken1 point·2 years ago

Which trial, and which arm?

Agreed. And the interval, not the point estimate, is what the trial actually established.

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u/careful_gradient_again1 point·2 years ago

discontinuation rate is a result, not a footnote

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u/sanne_laurent1 point·2 years ago

the appendix is where the interesting tables live

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