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Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer.

Fajardo-Ortiz D, Duran L, Moreno L, Ochoa H, Castaño VM - Int J Nanomedicine (2014)

Bottom Line: In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy.In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research.Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Medicine of the National Autonomous University of Mexico, Mexico City, Mexico.

ABSTRACT
This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

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Subnetwork 2 hierarchically organized.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article.Abbreviation: PDL, pegylated liposomal doxorubicin.
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f3-ijn-9-2627: Subnetwork 2 hierarchically organized.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article.Abbreviation: PDL, pegylated liposomal doxorubicin.

Mentions: Let us begin by briefly discussing the scope of the results. The maps (Figures 1 and 3) show that the most cited papers cite each other. High citation is not necessarily related to the quality or validity of a research paper;33,34 however, the most cited papers, which in turn cited each other, represent the paradigmatic core of a given area of knowledge.35 If the contents of these documents reflect the essential components of a particular paradigm, analyzing the content is relevant since paradigms dictate the guidelines on how to understand and treat a health problem.36


Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer.

Fajardo-Ortiz D, Duran L, Moreno L, Ochoa H, Castaño VM - Int J Nanomedicine (2014)

Subnetwork 2 hierarchically organized.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article.Abbreviation: PDL, pegylated liposomal doxorubicin.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4043705&req=5

f3-ijn-9-2627: Subnetwork 2 hierarchically organized.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article.Abbreviation: PDL, pegylated liposomal doxorubicin.
Mentions: Let us begin by briefly discussing the scope of the results. The maps (Figures 1 and 3) show that the most cited papers cite each other. High citation is not necessarily related to the quality or validity of a research paper;33,34 however, the most cited papers, which in turn cited each other, represent the paradigmatic core of a given area of knowledge.35 If the contents of these documents reflect the essential components of a particular paradigm, analyzing the content is relevant since paradigms dictate the guidelines on how to understand and treat a health problem.36

Bottom Line: In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy.In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research.Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Medicine of the National Autonomous University of Mexico, Mexico City, Mexico.

ABSTRACT
This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

Show MeSH
Related in: MedlinePlus