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The difference between 'placebo group' and 'placebo control': a case study in psychedelic microdosing

Balázs Szigeti, David Nutt, Robin Carhart-Harris, David Erritzøe

PsyArXiv May 24, 2022 preprint DOI: 10.31234/osf.io/cjfb6

Summary

AI-generated from the abstract

Blinding in medical trials is meant to distribute expectancy effects evenly across treatment arms, but it often fails. Using computational modeling, this work shows that weak blinding combined with positive treatment expectancy can create an 'activated expectancy bias' (AEB), which inflates treatment effect estimates and can produce false positive findings. To address this, the authors introduce the Correct Guess Rate Curve (CGRC), a statistical tool that estimates what a perfectly blinded trial would have found from imperfectly blinded data. Re-analyzing a self-blinding psychedelic microdose trial, they find that observed placebo-microdose differences are susceptible to AEB and may be false positives, suggesting microdosing acts as an active placebo. The results underscore the difference between trials with a placebo control group and genuinely placebo-controlled trials.

Study at a glance

Characteristics Computational modeling and re-analysis of existing trial data Placebo-controlled Case report
Topics Microdosing
Keywords Placebo effect Expectation effect
Citations 3
Key finding Observed placebo-microdose differences in a self-blinding psychedelic microdose trial are susceptible to activated expectancy bias and may be false positive findings, suggesting microdosing can be understood as an active placebo.

Abstract

In medical trials, ‘blinding’ ensures the equal distribution of expectancy effects between treatment arms in theory; however, blinding often fails in practice. We use computational modelling to show how weak blinding, combined with positive treatment expectancy, can lead to an uneven distribution of expectancy effects. We call this ‘activated expectancy bias’ (AEB) and show that AEB can inflate estimates of treatment effects and create false positive findings. To counteract AEB, we introduce the Correct Guess Rate Curve (CGRC), a statistical tool that can estimate the outcome of a perfectly blinded trial based on data from an imperfectly blinded trial. To demonstrate the impact of AEB and the utility of the CGRC on empirical data, we re-analyzed the ‘self-blinding psychedelic microdose trial’ dataset. Results suggest that observed placebo-microdose differences are susceptible to AEB and are at risk of being false positive findings, hence, we argue that microdosing can be understood as active placebo. These results highlight the important difference between ‘trials with a placebo-control group’, i.e., when a placebo control group is formally present, and ‘placebo-controlled trials’, where patients are genuinely blind. We also present a new blinding integrity assessment tool that is compatible with CGRC and recommend its adoption.

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