Evidence map›Paper›PMID 40060239›Full record

ArticleContemporary clinical trials communications2025

Operating characteristics of unequal allocation ratios in platform trials with the staggered addition of drugs using binary endpoints.

Yosuke Shimizu, Ryoichi Hanazawa, Hiroyuki Sato, Akihiro Hirakawa

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Article in Contemporary clinical trials communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yosuke ShimizuDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Ryoichi HanazawaDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Hiroyuki SatoDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Akihiro HirakawaDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One recommendation for the allocation ratio between multiple drugs and a shared placebo control group in platform trials (PTs) is to use a Methods: We compared the performances of equal and unequal allocation ratios through simulations to imitate practical PTs using only concurrent controls and binary endpoints for hospitalized patients with infectious diseases. The operating characteristics, including the type I error rate, power of hypothesis testing, and total sample size, were evaluated. Results: In PTs, using an unequal allocation ratio (i) results in a considerable augmentation of the total sample size and prolongs the study duration when monthly patient enrollment is low, but (ii) the target power of hypothesis testing is often preserved compared to an equal allocation ratio, even when we incorrectly specify the drug and placebo group mortality rates assumed in the sample size calculation. The average power increase using an unequal allocation ratio relative to the equal allocation ratio per 100-patient increase in the placebo group was approximately 1.9 % in the selected scenarios of our simulation studies. Conclusion: The results of the current study highlight the quantitative advantages and disadvantages of using unequal allocation ratios in PTs using only concurrent controls under the specific conditions assumed in our simulations and analyses.

Indexed as

Allocation ratioDrug developmentInfectious diseasesPlatform trialSimulation

Identifiers

PMID40060239
PMCPMC11889599

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.