Literature DB >> 26549161

Optimizing Clinical Research Participant Selection with Informatics.

Chunhua Weng1.   

Abstract

Clinical research participants are often not reflective of real-world patients due to overly restrictive eligibility criteria. Meanwhile, unselected participants introduce confounding factors and reduce research efficiency. Biomedical informatics, especially Big Data increasingly made available from electronic health records, offers promising aids to optimize research participant selection through data-driven transparency.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID： 26549161      PMCID： PMC4686428          DOI： 10.1016/j.tips.2015.08.007

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN： 0165-6147            Impact factor:   14.819


  15 in total

Review 1.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

2.  A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Authors:  C Weng; Y Li; P Ryan; Y Zhang; F Liu; J Gao; J T Bigger; G Hripcsak
Journal:  Appl Clin Inform       Date:  2014-05-07       Impact factor: 2.342

3.  Visual aggregate analysis of eligibility features of clinical trials.

Authors:  Zhe He; Simona Carini; Ida Sim; Chunhua Weng
Journal:  J Biomed Inform       Date:  2015-01-20       Impact factor: 6.317

4.  Clustering clinical trials with similar eligibility criteria features.

Authors:  Tianyong Hao; Alexander Rusanov; Mary Regina Boland; Chunhua Weng
Journal:  J Biomed Inform       Date:  2014-02-01       Impact factor: 6.317

5.  Knowledge engineering for a clinical trial advice system: uncovering errors in protocol specification.

Authors:  M A Musen; J A Rohn; L M Fagan; E H Shortliffe
Journal:  Bull Cancer       Date:  1987       Impact factor: 1.276

6.  Sick patients have more data: the non-random completeness of electronic health records.

Authors:  Nicole G Weiskopf; Alex Rusanov; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  Most hospitalized older persons do not meet the enrollment criteria for clinical trials in heart failure.

Authors:  Frederick A Masoudi; Edward P Havranek; Pam Wolfe; Cary P Gross; Saif S Rathore; John F Steiner; Diana L Ordin; Harlan M Krumholz
Journal:  Am Heart J       Date:  2003-08       Impact factor: 4.749

Review 8.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Authors:  Nicole Gray Weiskopf; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

9.  Analysis of eligibility criteria complexity in clinical trials.

Authors:  Jessica Ross; Samson Tu; Simona Carini; Ida Sim
Journal:  Summit Transl Bioinform       Date:  2010-03-01

Review 10.  Patient centric approach for clinical trials: Current trend and new opportunities.

Authors:  Neha Shankar Sharma
Journal:  Perspect Clin Res       Date:  2015 Jul-Sep
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  18 in total

1.  Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.

Authors:  Zhe He; Arturo Gonzalez-Izquierdo; Spiros Denaxas; Andrei Sura; Yi Guo; William R Hogan; Elizabeth Shenkman; Jiang Bian
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports.

Authors:  Margaret Mahan; Daniel Rafter; Hannah Casey; Marta Engelking; Tessneem Abdallah; Charles Truwit; Mark Oswood; Uzma Samadani
Journal:  PLoS One       Date:  2020-07-01       Impact factor: 3.240

3.  Clinical Research Informatics for Big Data and Precision Medicine.

Authors:  C Weng; M G Kahn
Journal:  Yearb Med Inform       Date:  2016-11-10

Review 4.  Advancing Alzheimer's research: A review of big data promises.

Authors:  Rui Zhang; Gyorgy Simon; Fang Yu
Journal:  Int J Med Inform       Date:  2017-07-24       Impact factor: 4.046

5.  Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.

Authors:  Anando Sen; Patrick B Ryan; Andrew Goldstein; Shreya Chakrabarti; Shuang Wang; Eileen Koski; Chunhua Weng
Journal:  Ann N Y Acad Sci       Date:  2016-09-06       Impact factor: 5.691

6.  Creation of a Multicenter Pediatric Inpatient Data Repository Derived from Electronic Health Records.

Authors:  Christoph P Hornik; Andrew M Atz; Catherine Bendel; Francis Chan; Kevin Downes; Robert Grundmeier; Ben Fogel; Debbie Gipson; Matthew Laughon; Michael Miller; Michael Smith; Chad Livingston; Cindy Kluchar; Anne Heath; Chanda Jarrett; Brian McKerlie; Hetalkumar Patel; Christina Hunter
Journal:  Appl Clin Inform       Date:  2019-05-08       Impact factor: 2.342

7.  GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

Authors:  Anando Sen; Shreya Chakrabarti; Andrew Goldstein; Shuang Wang; Patrick B Ryan; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-09-04       Impact factor: 6.317

8.  IDENTIFICATION OF QUESTIONABLE EXCLUSION CRITERIA IN MENTAL DISORDER CLINICAL TRIALS USING A MEDICAL ENCYCLOPEDIA.

Authors:  Handong Ma; Chunhua Weng
Journal:  Pac Symp Biocomput       Date:  2016

9.  Data-Driven Methods for Advancing Precision Oncology.

Authors:  Prema Nedungadi; Akshay Iyer; Georg Gutjahr; Jasmine Bhaskar; Asha B Pillai
Journal:  Curr Pharmacol Rep       Date:  2018-03-06

10.  Leveraging Real-World Data for the Selection of Relevant Eligibility Criteria for the Implementation of Electronic Recruitment Support in Clinical Trials.

Authors:  Georg Melzer; Tim Maiwald; Hans-Ulrich Prokosch; Thomas Ganslandt
Journal:  Appl Clin Inform       Date:  2021-01-13       Impact factor: 2.342
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