Evidence map›Paper›PMID 42496177›Full record

ArticleBiometrics2026

Group sequential clinical trial designs for composite endpoints incorporating recurrent and terminal events.

Qinghua Lian, Kwang Woo Ahn, Soyoung Kim, Brent R Logan, Melhem Solh, Michael J Martens

Abstract read
In one paragraph

Article in Biometrics, 2026. 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

6 authors.

Qinghua LianBristol Myers Squibb, Princeton, NJ 08543, United States.
Kwang Woo AhnDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, United States.ORCID 0000-0003-4567-8037
Soyoung KimDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, United States.ORCID 0000-0003-1404-0575
Brent R LoganDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, United States.ORCID 0000-0002-4473-4044
Melhem SolhBlood and Marrow Transplant Program, Northside Hospital Cancer Institute, Atlanta, GA 30342, United States.
Michael J MartensDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, United States.ORCID 0000-0003-3799-681X

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
Blood and Marrow Transplant Clinical Trials Network DCC- The Medical College of Wisconsin, Inc.U24HL138660 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI Steven M. DeVine, Mehdi Hussain Hamadani · 2017 to 2026
$71.4M
Easy-to-read Informed Consent for HCT Clinical TrialsU10HL069294 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI HOROWITZ, MARY MARESCA · 2011 to 2016
$43.8M
HRSA HHSNational Institute of Allergy and Infectious Diseases HHSH234200637015CNCI NIH HHS U24 CA076518NHLBI NIH HHS U10 HL069294NHLBI NIH HHS U24 HL138660U.S. Department of Health and Human Services
6 · The paper itself

Abstract

Composite endpoints, which combine multiple events of interest, are commonly used in medical research. Compared to evaluating a single outcome, a composite endpoint analysis captures the full clinical impact of treatment and leverages a greater number of events, potentially reducing the required sample size for the study. While composite endpoints have gained much attention in clinical trials, studying them in group sequential designs remains challenging due to the correlated nature of event data collected from the same individual, as the sequence of test statistics may not possess an independent increments structure. In this paper, we propose both one-sample and two-sample group sequential designs grounded in the mean frequency function, defined as the cumulative count of all recurrent and terminal events over time. Recognizing the lack of independent increments, our proposed method leverages the asymptotic covariance structure of the test statistics to construct group sequential boundaries that control the Type I error rate. Extensive simulation studies show the proposed design controls Type I error well and achieves the desired power. We illustrate the utility of our method through a reanalysis of BMT CTN 1703, a phase III randomized controlled trial that evaluated an experimental therapy for the prevention of adverse outcomes after allogeneic stem cell transplant.

Indexed as

Endpoint DeterminationRandomized Controlled Trials as TopicResearch DesignBiometryBone Marrow TransplantationClinical Trials, Phase III as TopicComputer SimulationData Interpretation, StatisticalHumansModels, StatisticalRecurrenceSample Sizecomposite endpointsgraft versus host diseasegroup sequential designmean frequency functionrandomized controlled trialsrecurrent events

Identifiers

PMID42496177
PMCPMC13397504

What OpenQuestion holds

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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.