Methode Exvisu : le 11 mai 2011, nouvelle publication dans le cadre du programme Science, Technology et Société du Massaschusettes Institute of Technology, Cambridge, MA USA

Titre : Detection and characterization of translational research in cancer and cardiovascular medicine.

Authors : David S Jones,1,2 Alberto Cambrosio,3 and Andrei Mogoutov .

Source : This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use.

Référence : Program in Science, Technology, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
Department of Social Studies of Medicine, McGill University, Montreal, Canada
Institut Francilien Recherche Innovation Société, Marne la Vallée, France
Date : Received November 15, 2010; Accepted May 11, 2011.

Methods

We downloaded bibliographic and citation data from all articles published in 2009 in the 75 leading journals in cancer and in cardiovascular medicine (roughly 15,000 articles for each field). We calculated citation relationships between journals and between articles and we extracted the most prevalent natural language concepts.


Results

Network analysis and mapping revealed polarization between basic and clinical research, but with translational links between these poles. The structure of the translational research in cancer and cardiac medicine is, however, quite different. In the cancer literature the translational interface is composed of different techniques (e.g., gene expression analysis) that are used across the various subspecialties (e.g., specific tumor types) within cancer research and medicine. In the cardiac literature, the clinical problems are more disparate (i.e., from congenital anomalies to coronary artery disease); although no distinctive translational interface links these fields, translational research does occur in certain subdomains, especially in research on atherosclerosis and hypertension.


Conclusions

These techniques can be used to monitor the continuing evolution of translational research in medicine and the impact of interventions designed to enhance it.







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