A Two-Stage Meta-Regression Framework for Precision Medicine Using Data from Clinical Data Research Networks


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dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorChen, Yong
dc.contributor.otherHospital of the University of Pennsylvania
dc.date.accessioned2024-07-09T19:50:28Z
dc.descriptionPediatric Crohn"s Disease (PCD) is a chronic inflammatory bowel disease (IBD) that has been recognized as one of the most important chronic diseases that affect children and adolescents, with increasing incidence in youth of varying ages. Literature presents gaps in understanding how to synthesize partial or pieces of evidence from multiple sites using distributed analysis for comparison of multiple treatments with respect to multiple patient-centered outcomes and how to better identify covariates that contribute to heterogeneous treatment effect (HTE) using data from distributed research networks (DRN). In this study, the research team is to develop evidence synthesis methods to improve distributed analyses in DRN and to advance understanding of the benefits and risks of different treatment options. The methods aim to expand the scope and patient-centeredness of research using data from clinical data research networks (CDRNs). #### Study Aims Develop a novel meta-analytic modeling framework for synthesis of evidence from multiple sites to inform comparison of multiple treatments with respect to multiple patient-centered outcomes; develop a two-stage procedure within the proposed modeling framework for identification of HTE of treatments; validate and evaluate the proposed methods using EHR data from PCD patients in the Penn-CHOP IBD center and disseminate the methods to the PEDSnet consortium.
dc.description.abstractStudy to develop evidence synthesis methods to improve distributed analyses in distributed research networks (DRN) and advance our understanding of benefit and risk of different treatment options.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/691
dc.language.isoen
dc.publisherPEDSnet
dc.rightsa CC-BY 4.0 Attribution license.
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectPEDSnet Data Source
dc.subjectPCORI-Funded Research
dc.subject.meshInflammatory Bowel Diseases
dc.subject.meshHealth Services Research
dc.subject.meshNetwork Meta-Analysis
dc.subject.meshDigestive System Diseases
dc.titleA Two-Stage Meta-Regression Framework for Precision Medicine Using Data from Clinical Data Research Networks
dspace.entity.typeStudy
local.admin.noteStudy PM: Rochelle Jordan, Study Analysts: UNKNOWN https://chop365.sharepoint.com/:f:/r/teams/RSCH-ACRC/Shared%20Documents/PEDSnet/PEDSnet%20Studies/Active%20Studies/Chen-Huang%20projects?csf=1&web=1&e=HDty1k
local.contributor.siteLeadPEDSnet Data Coordinating Center
local.contributor.siteSponsorPEDSnet Data Coordinating Center
local.contributor.sitesCincinnati Children's Hospital Medical Center
local.contributor.sitesChildren's Hospital of Philadelphia
local.contributor.sitesNationwide Children's Hospital
local.contributor.sitesSeattle Children's Hospital
local.contributor.sitesNemours Children's Health
local.identifier.pedsnetid2020.CHEY.PCORI.DCC.1
project.endDatePresent
project.startDate2020-01
relation.isPublicationOfStudy2d0fe043-c806-4053-8759-07b37acb2069
relation.isPublicationOfStudy8dffa0bf-caf8-4e7e-b198-475f0e7cd54f
relation.isPublicationOfStudy.latestForDiscovery2d0fe043-c806-4053-8759-07b37acb2069

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