Literature DB >> 22516979

Building the evidence base for decision making in cancer genomic medicine using comparative effectiveness research.

Katrina A B Goddard1, William A Knaus, Evelyn Whitlock, Gary H Lyman, Heather Spencer Feigelson, Sheri D Schully, Scott Ramsey, Sean Tunis, Andrew N Freedman, Muin J Khoury, David L Veenstra.   

Abstract

The clinical utility is uncertain for many cancer genomic applications. Comparative effectiveness research (CER) can provide evidence to clarify this uncertainty. The aim of this study was to identify approaches to help stakeholders make evidence-based decisions and to describe potential challenges and opportunities in using CER to produce evidence-based guidance. We identified general CER approaches for genomic applications through literature review, the authors' experiences, and lessons learned from a recent, seven-site CER initiative in cancer genomic medicine. Case studies illustrate the use of CER approaches. Evidence generation and synthesis approaches used in CER include comparative observational and randomized trials, patient-reported outcomes, decision modeling, and economic analysis. Significant challenges to conducting CER in cancer genomics include the rapid pace of innovation, lack of regulation, and variable definitions and evidence thresholds for clinical and personal utility. Opportunities to capitalize on CER methods in cancer genomics include improvements in the conduct of evidence synthesis, stakeholder engagement, increasing the number of comparative studies, and developing approaches to inform clinical guidelines and research prioritization. CER offers a variety of methodological approaches that can address stakeholders' needs and help ensure an effective translation of genomic discoveries.

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Year:  2012        PMID: 22516979      PMCID: PMC3632438          DOI: 10.1038/gim.2012.16

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  52 in total

1.  How best to engage patients, doctors, and other stakeholders in designing comparative effectiveness studies.

Authors:  Ari Hoffman; Russ Montgomery; Wade Aubry; Sean R Tunis
Journal:  Health Aff (Millwood)       Date:  2010-10       Impact factor: 6.301

2.  The historical and moral imperatives of comparative effectiveness research.

Authors:  Michael S Lauer
Journal:  Stat Med       Date:  2010-08-30       Impact factor: 2.373

3.  Bayesian and classical estimation of mixed logit: An application to genetic testing.

Authors:  Dean A Regier; Mandy Ryan; Euan Phimister; Carlo A Marra
Journal:  J Health Econ       Date:  2008-12-03       Impact factor: 3.883

Review 4.  Why most discovered true associations are inflated.

Authors:  John P A Ioannidis
Journal:  Epidemiology       Date:  2008-09       Impact factor: 4.822

5.  Coverage with Evidence Development: applications and issues.

Authors:  Paul Trueman; David L Grainger; Kristen E Downs
Journal:  Int J Technol Assess Health Care       Date:  2010-01       Impact factor: 2.188

6.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

7.  A CTSA agenda to advance methods for comparative effectiveness research.

Authors:  Mark Helfand; Sean Tunis; Evelyn P Whitlock; Stephen G Pauker; Anirban Basu; Jon Chilingerian; Frank E Harrell; David O Meltzer; Victor M Montori; Donald S Shepard; David M Kent
Journal:  Clin Transl Sci       Date:  2011-06       Impact factor: 4.689

8.  Real-world performance of HER2 testing--National Surgical Adjuvant Breast and Bowel Project experience.

Authors:  Soonmyung Paik; John Bryant; Elizabeth Tan-Chiu; Edward Romond; William Hiller; Kyeongmee Park; Ann Brown; Greg Yothers; Steve Anderson; Roy Smith; D Lawrence Wickerham; Norman Wolmark
Journal:  J Natl Cancer Inst       Date:  2002-06-05       Impact factor: 13.506

9.  Evaluating the utility of personal genomic information.

Authors:  Morris W Foster; John J Mulvihill; Richard R Sharp
Journal:  Genet Med       Date:  2009-08       Impact factor: 8.822

10.  Recommendations from the EGAPP Working Group: can tumor gene expression profiling improve outcomes in patients with breast cancer?

Authors: 
Journal:  Genet Med       Date:  2009-01       Impact factor: 8.822

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  19 in total

1.  Comparative effectiveness research in cancer: what has been funded and what knowledge gaps remain?

Authors:  Russell E Glasgow; V Paul Doria-Rose; Muin J Khoury; Mohammed Elzarrad; Martin L Brown; Kurt C Stange
Journal:  J Natl Cancer Inst       Date:  2013-04-11       Impact factor: 13.506

2.  Using the diffusion of innovations model to guide participant engagement in the genomics era.

Authors:  Katie L Lewis; Flavia M Facio; Courtney D Berrios
Journal:  J Genet Couns       Date:  2019-01-17       Impact factor: 2.537

Review 3.  Comparative effectiveness research, genomics-enabled personalized medicine, and rapid learning health care: a common bond.

Authors:  Geoffrey S Ginsburg; Nicole M Kuderer
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

Review 4.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

5.  Comparative effectiveness research in oncology.

Authors:  Gary H Lyman
Journal:  Oncologist       Date:  2013-05-22

6.  Comparative effectiveness research in cancer genomics and precision medicine: current landscape and future prospects.

Authors:  Naoko I Simonds; Muin J Khoury; Sheri D Schully; Katrina Armstrong; Wendy F Cohn; David A Fenstermacher; Geoffrey S Ginsburg; Katrina A B Goddard; William A Knaus; Gary H Lyman; Scott D Ramsey; Jianfeng Xu; Andrew N Freedman
Journal:  J Natl Cancer Inst       Date:  2013-05-09       Impact factor: 13.506

Review 7.  Clinical implementation of germ line cancer pharmacogenetic variants during the next-generation sequencing era.

Authors:  N K Gillis; J N Patel; F Innocenti
Journal:  Clin Pharmacol Ther       Date:  2013-10-17       Impact factor: 6.875

8.  Knowledge integration at the center of genomic medicine.

Authors:  Muin J Khoury; Marta Gwinn; W David Dotson; Sheri D Schully
Journal:  Genet Med       Date:  2012-07       Impact factor: 8.822

Review 9.  Stakeholder engagement: a key component of integrating genomic information into electronic health records.

Authors:  Andrea Hartzler; Catherine A McCarty; Luke V Rasmussen; Marc S Williams; Murray Brilliant; Erica A Bowton; Ellen Wright Clayton; William A Faucett; Kadija Ferryman; Julie R Field; Stephanie M Fullerton; Carol R Horowitz; Barbara A Koenig; Jennifer B McCormick; James D Ralston; Saskia C Sanderson; Maureen E Smith; Susan Brown Trinidad
Journal:  Genet Med       Date:  2013-09-12       Impact factor: 8.822

10.  Personalized screening for cancers: should we consider polygenic profiling?

Authors:  Nora Pashayan; Qi Guo; Paul D P Pharoah
Journal:  Per Med       Date:  2013-08-01       Impact factor: 2.512

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