Evidence map›Paper›PMID 41135812›Full record

ArticleContemporary clinical trials2025

Integrating a pilot study and large trial into one adaptive design.

Junqiang Dai, Byron J Gajewski, Elena Shergina, Rebecca Mount, Heather D Gibbs

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Junqiang DaiDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA. Electronic address: jdai2@kumc.edu.
Byron J GajewskiDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Elena SherginaDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Rebecca MountDepartment of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS, USA.
Heather D GibbsDepartment of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
SAFE Futures: Supporting American Indian and Alaska Native (AIAN) Maternal Health through Virtual Engagement and Community EmpowermentP20GM139733 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Christie Befort · 2023 to 2026
$11.5M
NCI NIH HHS P30 CA168524NIGMS NIH HHS P20 GM139733
6 · The paper itself

Abstract

backgroundAdaptive clinical trial designs are widely adopted in industry-sponsored trials but remain limited in NIH-funded public health research due to regulatory and funding challenges. This manuscript presents the Nutricity study as a proposed framework for implementing a seamless phase II/III trial design by integrating an NIH-funded pilot trial with a potential confirmatory trial into a single adaptive design to evaluate a pediatric nutrition intervention.

methodsThe Nutricity study proposes a seamless design combining a phase II pilot (NIH COBRE program funded) with a phase III trial (pending R01 grant application). This randomized trial focuses on changes in child diet quality measured by HEI scores. Simulations compared operation characteristics including sample size, study duration, and statistical power, between the seamless design and traditional two-stage approaches across various effect scenarios.

resultsSimulations demonstrated that the proposed seamless design achieved a 37 % sample size reduction and a 34 % reduction in duration, while maintaining high probability of success (99.4 %) when the effect size was as expected. Under the null scenario, the seamless design maintained an empirically estimated Type I error rate of 5.047 %. Across other scenarios with similar resource utilization, it enhanced efficiency through early stopping for futility or improved power compared to traditional approaches.

conclusionThe Nutricity study illustrates the potential of seamless phase II/III adaptive designs to improve efficiency in public health research, by integrating pilot and confirmatory phases while preserving scientific integrity. This proposed approach offers a valuable model for future NIH-funded studies adopting innovative trial methodologies.

Indexed as

Adaptive Clinical Trials as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicRandomized Controlled Trials as TopicResearch DesignChildComputer SimulationHumansNational Institutes of Health (U.S.)Pilot ProjectsSample SizeUnited StatesClinical trial designPhase II/IIISeamless design

Identifiers

PMID41135812
PMCPMC12697661

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Registered trials

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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.