Literature DB >> 21146144

Translational research: understanding the continuum from bench to bedside.

Brian C Drolet1, Nancy M Lorenzi.   

Abstract

The process of translating basic scientific discoveries to clinical applications, and ultimately to public health improvements, has emerged as an important, but difficult, objective in biomedical research. The process is best described as a "translation continuum" because various resources and actions are involved in this progression of knowledge, which advances discoveries from the bench to the bedside. The current model of this continuum focuses primarily on translational research, which is merely one component of the overall translation process. This approach is ineffective. A revised model to address the entire continuum would provide a methodology to identify and describe all translational activities (eg, implementation, adoption translational research, etc) as well their place within the continuum. This manuscript reviews and synthesizes the literature to provide an overview of the current terminology and model for translation. A modification of the existing model is proposed to create a framework called the Biomedical Research Translation Continuum, which defines the translation process and describes the progression of knowledge from laboratory to health gains. This framework clarifies translation for readers who have not followed the evolving and complicated models currently described. Authors and researchers may use the continuum to understand and describe their research better as well as the translational activities within a conceptual framework. Additionally, the framework may increase the advancement of knowledge by refining discussions of translation and allowing more precise identification of barriers to progress.
Copyright © 2011 Mosby, Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 21146144     DOI: 10.1016/j.trsl.2010.10.002

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  53 in total

1.  Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital.

Authors:  Richard J Holden; Roger L Brown; Matthew C Scanlon; Ben-Tzion Karsh
Journal:  J Am Med Inform Assoc       Date:  2012-06-03       Impact factor: 4.497

Review 2.  A translational model of research-practice integration.

Authors:  Dina Vivian; Rachel Hershenberg; Bethany A Teachman; Deborah A G Drabick; Marvin R Goldfried; Barry Wolfe
Journal:  Psychotherapy (Chic)       Date:  2012-06

3.  Science that "knows" and science that "asks".

Authors:  Pierre R Smeesters; Marie Deghorain; Andrew C Steer
Journal:  J Transl Med       Date:  2011-08-02       Impact factor: 5.531

4.  Translating cardiovascular knowledge: a global health perspective.

Authors:  Cristina Rabadán-Diehl; Daniel P Judge
Journal:  J Cardiovasc Transl Res       Date:  2015-01-13       Impact factor: 4.132

5.  A Bibliometric Measure of Translational Science.

Authors:  Yeon Hak Kim; Aaron D Levine; Eric J Nehl; John P Walsh
Journal:  Scientometrics       Date:  2020-08-17       Impact factor: 3.238

6.  Changing Health-Related Behaviors 4: Realizing Impact of Health Research Through Knowledge Translation.

Authors:  Kate Lambert; Krista Mahoney; Patrick S Parfrey
Journal:  Methods Mol Biol       Date:  2021

Review 7.  Chronic pain assessment from bench to bedside: lessons along the translation continuum.

Authors:  Bryan Jensen
Journal:  Transl Behav Med       Date:  2016-12       Impact factor: 3.046

8.  SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

Authors:  Andon Tchechmedjiev; Amine Abdaoui; Vincent Emonet; Stella Zevio; Clement Jonquet
Journal:  BMC Bioinformatics       Date:  2018-11-06       Impact factor: 3.169

9.  Pro-Con Perspectives on Ethics in Surgical Research: Update from the 39th Annual Surgical Infection Society Meeting.

Authors:  Vanessa P Ho; Evelyn I Truong; Saira Nisar; Addison K May; Gregory J Beilman; Donald E Fry; Philip S Barie; Jared M Huston; Jeffrey W Shupp; Fredric M Pieracci
Journal:  Surg Infect (Larchmt)       Date:  2020-05       Impact factor: 2.150

Review 10.  Critical appraisal of translational research models for suitability in performance assessment of cancer centers.

Authors:  Abinaya Rajan; Richard Sullivan; Suzanne Bakker; Wim H van Harten
Journal:  Oncologist       Date:  2012
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