Literature DB >> 20569703

Maximizing scientific knowledge from randomized clinical trials.

Finn Gustafsson1, Dan Atar, Bertram Pitt, Faiez Zannad, Marc A Pfeffer.   

Abstract

Trialists have an ethical and financial responsibility to plan and conduct clinical trials in a manner that will maximize the scientific knowledge gained from the trial. However, the amount of scientific information generated by randomized clinical trials in cardiovascular medicine is highly variable. Generation of trial databases and/or biobanks originating in large randomized clinical trials has successfully increased the knowledge obtained from those trials. At the 10th Cardiovascular Trialist Workshop, possibilities and pitfalls in designing and accessing clinical trial databases were discussed by a group of trialists. This review focuses on the arguments for conducting posttrial database studies and presents examples of studies in which posttrial knowledge generation has been substantial. Possible strategies to ensure successful trial database or biobank generation are discussed, in particular with respect to collaboration with the trial sponsor and to analytic pitfalls. The advantages of creating screening databases in conjunction with a given clinical trial are described; and finally, the potential for posttrial database studies to become a platform for training young scientists is outlined. Copyright 2010 Mosby, Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20569703     DOI: 10.1016/j.ahj.2010.03.002

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  3 in total

1.  Genomic markers to tailor treatments: waiting or initiating?

Authors:  Parvin Tajik; Patrick M Bossuyt
Journal:  Hum Genet       Date:  2011-04-13       Impact factor: 4.132

2.  Study protocol: NITric oxide during cardiopulmonary bypass to improve Recovery in Infants with Congenital heart defects (NITRIC trial): a randomised controlled trial.

Authors:  Luregn J Schlapbach; Stephen Brian Horton; Debbie Amanda Long; John Beca; Simon Erickson; Marino Festa; Yves d'Udekem; Nelson Alphonso; David Winlaw; Kerry Johnson; Carmel Delzoppo; Kim van Loon; B Gannon; Jonas Fooken; Antje Blumenthal; Paul Young; Mark Jones; Warwick Butt; Andreas Schibler
Journal:  BMJ Open       Date:  2019-08-15       Impact factor: 2.692

3.  Cohort profile: 'Biomarkers of Personalised Medicine' (BioPersMed): a single-centre prospective observational cohort study in Graz/Austria to evaluate novel biomarkers in cardiovascular and metabolic diseases.

Authors:  Christoph Walter Haudum; Ewald Kolesnik; Barbara Obermayer-Pietsch; Albrecht Schmidt; Caterina Colantonio; Ines Mursic; Marion Url-Michitsch; Andreas Tomaschitz; Theresa Glantschnig; Barbara Hutz; Alice Lind; Natascha Schweighofer; Clemens Reiter; Klemens Ablasser; Markus Wallner; Norbert Joachim Tripolt; Elisabeth Pieske-Kraigher; Tobias Madl; Alexander Springer; Gerald Seidel; Andreas Wedrich; Andreas Zirlik; Thomas Krahn; Rudolf Stauber; Burkert Pieske; Thomas R Pieber; Nicolas Verheyen
Journal:  BMJ Open       Date:  2022-04-07       Impact factor: 2.692

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.