Literature DB >> 32297007

Developing Real-world Evidence-Ready Datasets: Time for Clinician Engagement.

James M Snyder1, Jacob A Pawloski2, Laila M Poisson3.   

Abstract

PURPOSE OF REVIEW: Real-world data (RWD) applications in healthcare that support learning health systems and pragmatic clinical trials are gaining momentum, largely due to legislation supporting real-world evidence (RWE) for drug approvals. Clinical notes are thought to be the cornerstone of RWD applications, particularly for conditions with limited effective treatments, extrapolation of treatments from other conditions, or heterogenous disease biology and clinical phenotypes. RECENT
FINDINGS: Here, we discuss current issues in applying RWD captured at the point-of-care and provide a framework for clinicians to engage in RWD collection. To achieve clinically meaningful results, RWD must be reliably captured using consistent terminology in the description of our patients. RWD complements traditional clinical trials and research by informing the generalizability of results, generating new hypotheses, and creating a large data network for scientific discovery. Effective clinician engagement in the development of RWD applications is necessary for continued progress in the field.

Entities:  

Keywords:  Big data; Bioinformatics real-world data; CDE; Common data elements; Electronic health record; Learning health systems; Neuro-oncology; Neuroinformatics; Point-of-care; Pragmatic clinical trials; Precision medicine; RWD; RWE; Real-world evidence

Year:  2020        PMID: 32297007      PMCID: PMC8214868          DOI: 10.1007/s11912-020-00904-z

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  29 in total

1.  National Institute of Neurological Disorders and Stroke Common Data Element Project - approach and methods.

Authors:  Stacie T Grinnon; Kristy Miller; John R Marler; Yun Lu; Alexandra Stout; Joanne Odenkirchen; Selma Kunitz
Journal:  Clin Trials       Date:  2012-02-27       Impact factor: 2.486

2.  A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers.

Authors:  Kevin E Thorpe; Merrick Zwarenstein; Andrew D Oxman; Shaun Treweek; Curt D Furberg; Douglas G Altman; Sean Tunis; Eduardo Bergel; Ian Harvey; David J Magid; Kalipso Chalkidou
Journal:  J Clin Epidemiol       Date:  2009-05       Impact factor: 6.437

3.  Key cost drivers of pharmaceutical clinical trials in the United States.

Authors:  Aylin Sertkaya; Hui-Hsing Wong; Amber Jessup; Trinidad Beleche
Journal:  Clin Trials       Date:  2016-02-08       Impact factor: 2.486

4.  New "21st Century Cures" Legislation: Speed and Ease vs Science.

Authors:  Aaron S Kesselheim; Jerry Avorn
Journal:  JAMA       Date:  2017-02-14       Impact factor: 56.272

Review 5.  Clinical trial end points for high-grade glioma: the evolving landscape.

Authors:  David A Reardon; Evanthia Galanis; John F DeGroot; Timothy F Cloughesy; Jeffrey S Wefel; Kathleen R Lamborn; Andrew B Lassman; Mark R Gilbert; John H Sampson; Wolfgang Wick; Marc C Chamberlain; David R Macdonald; Minesh P Mehta; Michael A Vogelbaum; Susan M Chang; Martin J Van den Bent; Patrick Y Wen
Journal:  Neuro Oncol       Date:  2011-02-09       Impact factor: 12.300

6.  How sociodemographics, presence of oncology specialists, and hospital cancer programs affect accrual to cancer treatment trials.

Authors:  Warren B Sateren; Edward L Trimble; Jeffrey Abrams; Otis Brawley; Nancy Breen; Leslie Ford; Mary McCabe; Richard Kaplan; Malcolm Smith; Richard Ungerleider; Michaele C Christian
Journal:  J Clin Oncol       Date:  2002-04-15       Impact factor: 44.544

7.  Toward a Shared Vision for Cancer Genomic Data.

Authors:  Robert L Grossman; Allison P Heath; Vincent Ferretti; Harold E Varmus; Douglas R Lowy; Warren A Kibbe; Louis M Staudt
Journal:  N Engl J Med       Date:  2016-09-22       Impact factor: 91.245

8.  New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research.

Authors:  John Torous; Mathew V Kiang; Jeanette Lorme; Jukka-Pekka Onnela
Journal:  JMIR Ment Health       Date:  2016-05-05

Review 9.  Opportunities and obstacles for deep learning in biology and medicine.

Authors:  Travers Ching; Daniel S Himmelstein; Brett K Beaulieu-Jones; Alexandr A Kalinin; Brian T Do; Gregory P Way; Enrico Ferrero; Paul-Michael Agapow; Michael Zietz; Michael M Hoffman; Wei Xie; Gail L Rosen; Benjamin J Lengerich; Johnny Israeli; Jack Lanchantin; Stephen Woloszynek; Anne E Carpenter; Avanti Shrikumar; Jinbo Xu; Evan M Cofer; Christopher A Lavender; Srinivas C Turaga; Amr M Alexandari; Zhiyong Lu; David J Harris; Dave DeCaprio; Yanjun Qi; Anshul Kundaje; Yifan Peng; Laura K Wiley; Marwin H S Segler; Simina M Boca; S Joshua Swamidass; Austin Huang; Anthony Gitter; Casey S Greene
Journal:  J R Soc Interface       Date:  2018-04       Impact factor: 4.293

10.  PCORnet: turning a dream into reality.

Authors:  Francis S Collins; Kathy L Hudson; Josephine P Briggs; Michael S Lauer
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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