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01 · ABSTRACT

Abstract

Pediatric cancer consists of a diverse group of rare diseases. Due to limited patient populations, standard randomized and controlled trials are often infeasible. As a result, single-arm trials are common in pediatric oncology and the use of external controls is often desirable or necessary to help generate actionable evidence and contextualize trial results. In this paper, we illustrate unique features in pediatric oncology clinical trials and describe their impact on the use of external controls. Various types of relevant external control data sources are described in terms of their utility and drawbacks. Statistical methodologies and design implications with external control are discussed. Two recent case studies using external controls to support pediatric oncology drug development are described in detail.

Keywords: Pediatric oncology, external controls, registry, prior clinical trial, combination therapy, Bayesian analysis

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 12 No 1 (2024): January Issue, Vol.12, Issue 1
SectionResearch Articles
Published04 March 2024
DOI10.18103/mra.v12i1.5088
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.

 

Authors & affiliations

JY

Jingjing Ye

Global Statistics and Data Sciences (GSDS), BeiGene USA, Fulton, MD

HP

Haitao Pan

Department of Biostatistics, St Jude Children's Research Hospital, Memphis, TN

GR

Gregory Reaman

National Cancer Institute (NCI), National Institute of Health (NIH)

SR

Satrajit Roychoudhury

Statistical Research and Innovation, Pfizer Inc.

CL

Chengxing Lu

Oncology Biometrics, AstraZeneca, Waltham, Massachusetts

LR

Lindsay A. Renfro

Division of Biostatistics, University of Southern California and Children’s Oncology Group, Los Angeles, CA

YJ

Yuan Ji

University of Chicago, Chicago, IN

RL

Rong Liu

Biostatistics and Data Management, Regeneron Pharmaceuticals, Tarrytown NY 10591

YY

Ying Yuan

Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

WZ

Weidong Zhang

Sana Biotechnology, Cambridge, Massachusetts

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