Literature DB >> 32308859

Sharing of Individual Participant Data from Clinical Trials: General Comparison and HIV Use Case.

Craig S Mayer1,2, Nick Williams1,2, Sigfried Gold1, Kin Wah Fung1, Vojtech Huser1.   

Abstract

Sharing of individual participant data is encouraged by the International Committee of Medical Journal Editors. We analyzed clinical trial registry data from ClinicalTrials.gov (CTG) and determined the proportion of trials sharing de-identified Individual Participant Data (IPD). We looked at 3,138 medical conditions (as Medical Subject Heading terms). Overall, 10.8% of trials with first registration date after December 1, 2015 answered 'Yes' to plan to share de-identified IPD data. This sharing rate ranges between 0% (biliary tract neoplasms) to 72.2% (meningitis, meningococcal) when analyzed by disease that is focus of a study. Via a predictive model, we found that studies that deposited basic summary results data to CTG results registry, large studies and phase 3 interventional studies are most likely to declare intent to share IPD data. As part of an HIV common data element analysis project, we further compared a body of HIV trials (24% sharing rate) to other diseases. ©2019 AMIA - All rights reserved.

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Year:  2020        PMID: 32308859      PMCID: PMC7153161     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  8 in total

1.  Characteristics of Digital Health Studies Registered in ClinicalTrials.gov.

Authors:  Connie E Chen; Robert A Harrington; Sumbul A Desai; Kenneth W Mahaffey; Mintu P Turakhia
Journal:  JAMA Intern Med       Date:  2019-06-01       Impact factor: 21.873

2.  How Did These Data Get Here? Recommendations for the Analysis of Data From ClinicalTrials.gov.

Authors:  Todd A Durham
Journal:  Ther Innov Regul Sci       Date:  2018-11-09       Impact factor: 1.778

3.  Evaluating the Completeness of ClinicalTrials.gov.

Authors:  Stella Stergiopoulos; Kenneth A Getz; Christine Blazynski
Journal:  Ther Innov Regul Sci       Date:  2018-07-26       Impact factor: 1.778

4.  Evaluating adherence to the International Committee of Medical Journal Editors' policy of mandatory, timely clinical trial registration.

Authors:  Vojtech Huser; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2013-02-09       Impact factor: 4.497

5.  Data sharing statements for clinical trials.

Authors:  Darren B Taichman; Peush Sahni; Anja Pinborg; Larry Peiperl; Christine Laine; Astrid James; Sung-Tae Hong; Abraham Haileamlak; Laragh Gollogly; Fiona Godlee; Frank A Frizelle; Fernando Florenzano; Jeffrey M Drazen; Howard Bauchner; Christopher Baethge; Joyce Backus
Journal:  BMJ       Date:  2017-06-05

6.  How to avoid common problems when using ClinicalTrials.gov in research: 10 issues to consider.

Authors:  Tony Tse; Kevin M Fain; Deborah A Zarin
Journal:  BMJ       Date:  2018-05-25

7.  Sharing and reuse of individual participant data from clinical trials: principles and recommendations.

Authors:  Christian Ohmann; Rita Banzi; Steve Canham; Serena Battaglia; Mihaela Matei; Christopher Ariyo; Lauren Becnel; Barbara Bierer; Sarion Bowers; Luca Clivio; Monica Dias; Christiane Druml; Hélène Faure; Martin Fenner; Jose Galvez; Davina Ghersi; Christian Gluud; Trish Groves; Paul Houston; Ghassan Karam; Dipak Kalra; Rachel L Knowles; Karmela Krleža-Jerić; Christine Kubiak; Wolfgang Kuchinke; Rebecca Kush; Ari Lukkarinen; Pedro Silverio Marques; Andrew Newbigging; Jennifer O'Callaghan; Philippe Ravaud; Irene Schlünder; Daniel Shanahan; Helmut Sitter; Dylan Spalding; Catrin Tudur-Smith; Peter van Reusel; Evert-Ben van Veen; Gerben Rienk Visser; Julia Wilson; Jacques Demotes-Mainard
Journal:  BMJ Open       Date:  2017-12-14       Impact factor: 2.692

8.  Data sharing in PLOS ONE: An analysis of Data Availability Statements.

Authors:  Lisa M Federer; Christopher W Belter; Douglas J Joubert; Alicia Livinski; Ya-Ling Lu; Lissa N Snyders; Holly Thompson
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

  8 in total
  2 in total

1.  COVID-19 trials: declarations of data sharing intentions at trial registration and at publication.

Authors:  Rebecca Li; Megan von Isenburg; Marcia Levenstein; Stan Neumann; Julie Wood; Ida Sim
Journal:  Trials       Date:  2021-02-18       Impact factor: 2.279

2.  Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study.

Authors:  Joseph Finkelstein; Anas Elghafari
Journal:  JMIR Med Inform       Date:  2021-02-08
  2 in total

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