Literature DB >> 33411618

Apples and Oranges? Considerations for EHR-Based Analyses Aggregating Data From Interventional Clinical Trials and Point-of-Care Encounters in Oncology.

Jessica A Lavery1, Margaret K Callahan2, Katherine S Panageas1.   

Abstract

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Mesh：

Year:  2021        PMID： 33411618      PMCID： PMC8240792          DOI： 10.1200/CCI.20.00096

Source DB:  PubMed          Journal:  JCO Clin Cancer Inform        ISSN： 2473-4276


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  24 in total

Review 1.  Secondary analysis: theoretical, methodological, and practical considerations.

Authors:  S P Clarke; S Cossette
Journal:  Can J Nurs Res       Date:  2000-12

2.  Generalizability of cancer clinical trial results: prognostic differences between participants and nonparticipants.

Authors:  Linda S Elting; Catherine Cooksley; B Nebiyou Bekele; Michael Frumovitz; Elenir B C Avritscher; Charlotte Sun; Diane C Bodurka
Journal:  Cancer       Date:  2006-06-01       Impact factor: 6.860

3.  Estimation in regression models for longitudinal binary data with outcome-dependent follow-up.

Authors:  Garrett M Fitzmaurice; Stuart R Lipsitz; Joseph G Ibrahim; Richard Gelber; Steven Lipshultz
Journal:  Biostatistics       Date:  2006-01-20       Impact factor: 5.899

4.  Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record.

Authors:  Benjamin A Goldstein; Nrupen A Bhavsar; Matthew Phelan; Michael J Pencina
Journal:  Am J Epidemiol       Date:  2016-11-16       Impact factor: 4.897

5.  The electronic health record as a clinical trials tool: Opportunities and challenges.

Authors:  Monica M Bertagnolli; Brian Anderson; Andre Quina; Steven Piantadosi
Journal:  Clin Trials       Date:  2020-04-08       Impact factor: 2.486

6.  How and when informative visit processes can bias inference when using electronic health records data for clinical research.

Authors:  Benjamin A Goldstein; Matthew Phelan; Neha J Pagidipati; Sarah B Peskoe
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

7.  Caveats for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; Mark G Weiner; Peter J Embi; Judith R Logan; Philip R O Payne; Elmer V Bernstam; Harold P Lehmann; George Hripcsak; Timothy H Hartzog; James J Cimino; Joel H Saltz
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

8.  Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018.

Authors:  Jonathan M Loree; Seerat Anand; Arvind Dasari; Joseph M Unger; Anirudh Gothwal; Lee M Ellis; Gauri Varadhachary; Scott Kopetz; Michael J Overman; Kanwal Raghav
Journal:  JAMA Oncol       Date:  2019-10-10       Impact factor: 31.777

9.  Missing diversity in brain tumor trials.

Authors:  Birra Taha; Graham Winston; Umberto Tosi; Benjamin Hartley; Caitlin Hoffman; Nadia Dahmane; Christopher E Mason; Jeffrey P Greenfield
Journal:  Neurooncol Adv       Date:  2020-05-13

10.  Illustrating Informed Presence Bias in Electronic Health Records Data: How Patient Interactions with a Health System Can Impact Inference.

Authors:  Matthew Phelan; Nrupen A Bhavsar; Benjamin A Goldstein
Journal:  EGEMS (Wash DC)       Date:  2017-12-06
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