Literature DB >> 35559386

Methods for identifying biomedical translation: a systematic review.

Javier Padilla-Cabello1,2, Antonio Santisteban-Espejo3,4, Ruben Heradio5, Manuel J Cobo6, Miguel A Martin-Piedra7, Jose A Moral-Munoz4,8.   

Abstract

Translational medicine is an important area of biomedicine, and has significantly facilitated the development of biomedical research. Despite its relevance, there is no consensus on how to evaluate its progress and impact. A systematic review was carried out to identify all the methods to evaluate translational research. Seven methods were found according to the established criteria to analyze their characteristics, advantages, and limitations. They allow us to perform this type of evaluation in different ways. No relevant advantages were found between them; each one presented its specific limitations that need to be considered. Nevertheless, the Triangle of Biomedicine could be considered the most relevant method, concerning the time since its publication and usefulness. In conclusion, there is still a lack of a gold-standard method for evaluating biomedical translational research. AJTR
Copyright © 2022.

Entities:  

Keywords:  Translational research; bibliometric analysis; biomedical translational research; methods for evaluating; research evaluation

Year:  2022        PMID: 35559386      PMCID: PMC9091120     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   3.940


  32 in total

1.  Evaluating "payback" on biomedical research from papers cited in clinical guidelines: applied bibliometric study.

Authors:  J Grant; R Cottrell; F Cluzeau; G Fawcett
Journal:  BMJ       Date:  2000-04-22

2.  Evaluating translational research: a process marker model.

Authors:  William Trochim; Cathleen Kane; Mark J Graham; Harold A Pincus
Journal:  Clin Transl Sci       Date:  2011-06       Impact factor: 4.689

3.  The applied value of public investments in biomedical research.

Authors:  Danielle Li; Pierre Azoulay; Bhaven N Sampat
Journal:  Science       Date:  2017-03-30       Impact factor: 47.728

4.  Methods for identifying translational researchers.

Authors:  Mary K Feeney; Timothy Johnson; Eric W Welch
Journal:  Eval Health Prof       Date:  2013-09-23       Impact factor: 2.651

Review 5.  The translational research impact scale: development, construct validity, and reliability testing.

Authors:  Allard E Dembe; Michele S Lynch; P Cristian Gugiu; Rebecca D Jackson
Journal:  Eval Health Prof       Date:  2013-09-30       Impact factor: 2.651

6.  Rayyan-a web and mobile app for systematic reviews.

Authors:  Mourad Ouzzani; Hossam Hammady; Zbys Fedorowicz; Ahmed Elmagarmid
Journal:  Syst Rev       Date:  2016-12-05

7.  A protocol for retrospective translational science case studies of health interventions.

Authors:  Sara E Dodson; Ira Kukic; Linda Scholl; Clara M Pelfrey; William M Trochim
Journal:  J Clin Transl Sci       Date:  2020-07-22

8.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

9.  Identifying translational science within the triangle of biomedicine.

Authors:  Griffin M Weber
Journal:  J Transl Med       Date:  2013-05-24       Impact factor: 5.531

10.  The Translational Science Benefits Model: A New Framework for Assessing the Health and Societal Benefits of Clinical and Translational Sciences.

Authors:  Douglas A Luke; Cathy C Sarli; Amy M Suiter; Bobbi J Carothers; Todd B Combs; Jae L Allen; Courtney E Beers; Bradley A Evanoff
Journal:  Clin Transl Sci       Date:  2017-09-08       Impact factor: 4.689

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