Whole-of-Life Inclusion in Bayesian Adaptive Platform Clinical Trials

Bayesian hierarchical models may provide more precision for estimates of safety and efficacy of treatments in trials with heterogenous populations compared to traditional methods of analysis. They facilitate the inclusion of children in clinical trials and a shift from children deemed therapeutic orphans to the vision of no child left behind in clinical trials to ensure evidence for clinical practice exists across the life course. The SNAP trial provides an example of a bayesian adaptive whole-of-life inclusion design that enhances trial population inclusivity and diversity overall, as well as generalizability and translation of findings into clinical practice.

Authors

Institutions

Publication Details

Journal
JAMA Pediatrics
Published
2024-08-19
DOI
https://doi.org/10.1001/jamapediatrics.2024.2697
Citations
9
Primary Topic
Pharmaceutical studies and practices
Type
article
Field-Weighted Citation Impact
9.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole-of-Life Inclusion in Bayesian Adaptive Platform Clinical Trials

George Heriot, Kevin L. Schwartz, Oded Scheuerman, James Hatcher et al.
9 citations
JAMA Pediatrics
Pharmaceutical studies and practices
9.98
article

Whole-of-Life Inclusion in Bayesian Adaptive Platform Clinical Trials

George Heriot, Kevin L. Schwartz, Oded Scheuerman, James Hatcher, Tom Snelling, David L. Paterson, Nick Daneman, Tom Boyles, Anna L. Goodman, Susan C. Morpeth, Michael J. Stark, Erica Hardy, Dafna Yahav, Clare Nourse, Rachel Webb, Matthew P. Cheng, Brett J. Manley, Jason A. Roberts, David Chien Lye, Genevieve Walls, Isabelle Malhamé, Anita J Campbell, Tobias Strunk, Todd C. Lee, Robert K. Mahar, Roger Lewis, Srinivas Murthy, Sebastian van Hal, Matthew Scarborough, Brendan McMullan, Emma Best, Amanda Gwee, Asha C Bowen, Julie Marsh, Steven Y. C. Tong, Philip N Britton, Lynda Whiteway, Anna McGlothlin, Michaël Meyer, M.P.M. Hensgens, Jesse Papenburg, Zoe McQuilten, Keerthi Anpalagan, Joshua S. Davis, Catherine Cosgrove, Lesley Voss, Owen Robinson, Steve Webb, Jocelyn Mora, Marc Bonten
article en
9 citations

Abstract

Bayesian hierarchical models may provide more precision for estimates of safety and efficacy of treatments in trials with heterogenous populations compared to traditional methods of analysis. They facilitate the inclusion of children in clinical trials and a shift from children deemed therapeutic orphans to the vision of no child left behind in clinical trials to ensure evidence for clinical practice exists across the life course. The SNAP trial provides an example of a bayesian adaptive whole-of-life inclusion design that enhances trial population inclusivity and diversity overall, as well as generalizability and translation of findings into clinical practice.

JAMA PediatricsVol. 178(10)
The University of Sydney (AU), The Royal Melbourne Hospital (AU), Royal Children's Hospital (AU), Royal Women's Hospital (AU), University of British Columbia (CA), University of Auckland (NZ), Queensland University of Technology (AU), Tel Aviv University (IL), The University of Queensland (AU), The University of Melbourne (AU), The Kids Research Institute Australia (AU), The University of Western Australia (AU), University of Toronto (CA), Montreal Children's Hospital (CA), Great Ormond Street Hospital (GB), Middlemore Hospital (NZ), Princess Margaret Hospital for Children (AU), John Hunter Hospital (AU), Women's and Children's Hospital (AU), King Edward Memorial Hospital (AU), McGill University Health Centre (CA), Children's Hospital at Westmead (AU), UNSW Sydney (AU), Menzies School of Health Research (AU), St Joseph's Health Centre (CA), Berry & Associates (United States) (US), Peter Doherty Institute (AU), Schneider Children's Medical Center (IL), Public Health Ontario (CA), Sydney Children's Hospital (AU), Starship Children's Health (NZ), Murdoch Children's Research Institute (AU), Centre for Inflammation Research (GB), Children's Health Queensland Hospital and Health Service (AU), Perth Children's Hospital, University College London (GB), The University of Adelaide (AU), University of Newcastle Australia (AU)
Reduced inequalities
Openalex Percentile: Top 2%
Pharmaceutical studies and practices
9.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.