Evidence map›Paper›PMID 38549502›Full record

ArticleJournal of biopharmaceutical statistics2024

Flexible seamless 2-in-1 design with sample size adaptation.

Runjia Li, Liwen Wu, Rachael Liu, Jianchang Lin

Erratum issuedAbstract read
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In one paragraph

Article in Journal of biopharmaceutical statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Improving phase 2/3 trials with an enhanced 2-in-1 adaptive design.Contemporary clinical trials communications · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Runjia LiDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Liwen WuStatistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.ORCID 0000-0001-9329-3794
Rachael LiuStatistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.
Jianchang LinStatistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2-in-1 design is becoming popular in oncology drug development, with the flexibility in using different endpoints at different decision time. Based on the observed interim data, sponsors can choose to seamlessly advance a small phase 2 trial to a full-scale confirmatory phase 3 trial with a pre-determined maximum sample size or remain in a phase 2 trial. While this approach may increase efficiency in drug development, it is rigid and requires a pre-specified fixed sample size. In this paper, we propose a flexible 2-in-1 design with sample size adaptation, while retaining the advantage of allowing an intermediate endpoint for interim decision-making. The proposed design reflects the needs of the recent FDA's Project FrontRunner initiative, which encourages the use of an earlier surrogate endpoint to potentially support accelerated approval with conversion to standard approval with long-term endpoints from the same randomized study. Additionally, we identify the interim decision cut-off to allow a conventional test procedure at the final analysis. Extensive simulation studies showed that the proposed design requires much a smaller sample size and shorter timeline than the simple 2-in-1 design, while achieving similar power. We present a case study in multiple myeloma to demonstrate the benefits of the proposed design.

Indexed as

Research DesignAntineoplastic AgentsClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicComputer SimulationDrug DevelopmentEndpoint DeterminationHumansRandomized Controlled Trials as TopicSample SizeUnited StatesAntineoplastic AgentsAdaptive designsample size re-estimationseamless designsurrogate endpoint

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.