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The Application of Pulsed Electromagnetic Fields (PEMFs) for Bone Fracture Repair: Past and Perspective Findings

Overview of attention for article published in Annals of Biomedical Engineering, January 2018
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Title
The Application of Pulsed Electromagnetic Fields (PEMFs) for Bone Fracture Repair: Past and Perspective Findings
Published in
Annals of Biomedical Engineering, January 2018
DOI 10.1007/s10439-018-1982-1
Pubmed ID
Authors

C. Daish, R. Blanchard, K. Fox, P. Pivonka, E. Pirogova

Abstract

Bone fractures are one of the most commonly occurring injuries of the musculoskeletal system. A highly complex physiological process, fracture healing has been studied extensively. Data from in vivo, in vitro and clinical studies, have shown pulsed electromagnetic fields (PEMFs) to be highly influential in the fracture repair process. Whilst the underlying mechanisms acting to either inhibit or advance the physiological processes are yet to be defined conclusively, several non-invasive point of use devices have been developed for the clinical treatment of fractures. With the complexity of the repair process, involving many components acting at different time steps, it has been a challenge to determine which PEMF exposure parameters (i.e., frequency of field, intensity of field and dose) will produce the most optimal repair. In addition, the development of an evidence-backed device comes with challenges of its own, with many elements (including process of exposure, construct materials and tissue densities) being highly influential to the field exposed. The objective of this review is to provide a broad recount of the applications of PEMFs in bone fracture repair and to then demonstrate what is further required for enhanced therapeutic outcomes.

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The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 15%
Student > Master 13 12%
Student > Ph. D. Student 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 6 6%
Other 15 14%
Unknown 36 33%
Readers by discipline Count As %
Medicine and Dentistry 21 19%
Engineering 14 13%
Biochemistry, Genetics and Molecular Biology 8 7%
Materials Science 7 6%
Agricultural and Biological Sciences 4 4%
Other 17 16%
Unknown 37 34%