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. 2021 Jun 1;21(1):110.
doi: 10.1186/s12874-021-01293-y.

Randomized test-treatment studies with an outlook on adaptive designs

Affiliations

Randomized test-treatment studies with an outlook on adaptive designs

Amra Hot et al. BMC Med Res Methodol. .

Abstract

Background: Diagnostic accuracy studies aim to examine the diagnostic accuracy of a new experimental test, but do not address the actual merit of the resulting diagnostic information to a patient in clinical practice. In order to assess the impact of diagnostic information on subsequent treatment strategies regarding patient-relevant outcomes, randomized test-treatment studies were introduced. Various designs for randomized test-treatment studies, including an evaluation of biomarkers as part of randomized biomarker-guided treatment studies, are suggested in the literature, but the nomenclature is not consistent.

Methods: The aim was to provide a clear description of the different study designs within a pre-specified framework, considering their underlying assumptions, advantages as well as limitations and derivation of effect sizes required for sample size calculations. Furthermore, an outlook on adaptive designs within randomized test-treatment studies is given.

Results: The need to integrate adaptive design procedures in randomized test-treatment studies is apparent. The derivation of effect sizes induces that sample size calculation will always be based on rather vague assumptions resulting in over- or underpowered study results. Therefore, it might be advantageous to conduct a sample size re-estimation based on a nuisance parameter during the ongoing trial.

Conclusions: Due to their increased complexity, compared to common treatment trials, the implementation of randomized test-treatment studies poses practical challenges including a huge uncertainty regarding study parameters like the expected outcome in specific subgroups or disease prevalence which might affect the sample size calculation. Since research on adaptive designs within randomized test-treatment studies is limited so far, further research is recommended.

Keywords: Accuracy; Adaptive design; Diagnostic research; Patient-relevant outcome; RCT; Sample size; Test-treatment.

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Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Fig. 1
Fig. 1
A schematic representation of a classical test-treatment RCT [9]
Fig. 2
Fig. 2
A schematic representation of a randomized diagnostic study with restricting randomization to discordant pairs [9, 25]
Fig. 3
Fig. 3
A schematic representation of a study design with random disclosure principle [9]
Fig. 4
Fig. 4
A schematic representation of a study design with random disclosure of one diagnostic test [9]

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