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Methods for identifying biomedical translation: a systematic review.
Padilla-Cabello, Javier; Santisteban-Espejo, Antonio; Heradio, Ruben; Cobo, Manuel J; Martin-Piedra, Miguel A; Moral-Munoz, Jose A.
Afiliación
  • Padilla-Cabello J; Program of Biomedicine, University of Granada Granada, Spain.
  • Santisteban-Espejo A; Department of Otorhinolaryngology, Hospital Universitario Clínico San Cecilio Granada, Spain.
  • Heradio R; Department of Pathology, Puerta del Mar University Hospital Cadiz, Spain.
  • Cobo MJ; Institute of Research and Innovation in Biomedical Sciences of The Province of Cadiz (INiBICA) Cadiz, Spain.
  • Martin-Piedra MA; School of Computer Science, Universidad Nacional de Educación a Distancia (UNED) Madrid, Spain.
  • Moral-Munoz JA; Department of Computer Science and Engineering, University of Cadiz Puerto Real, Spain.
Am J Transl Res ; 14(4): 2697-2708, 2022.
Article en En | MEDLINE | ID: mdl-35559386
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Am J Transl Res Año: 2022 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Am J Transl Res Año: 2022 Tipo del documento: Article País de afiliación: España
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