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Evaluation of the effectiveness of platelet-rich plasma in the bone consolidation of patients submitted to lumbar arthrodesis

Overview of attention for article published in Revista Brasileira de Ortopedia, October 2017
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Title
Evaluation of the effectiveness of platelet-rich plasma in the bone consolidation of patients submitted to lumbar arthrodesis
Published in
Revista Brasileira de Ortopedia, October 2017
DOI 10.1016/j.rboe.2017.10.006
Pubmed ID
Authors

Caroline Ferraz Rezende, Danielly de Paula Azevedo, Rafael Burgomeister Lourenço, José Fernando Duarte, Igor Machado Cardoso, Charbel Jacob Júnior

Abstract

To determine whether the use of autograft associated with platelet-rich plasma (PRP) increases bone healing in patients undergoing lumbar fusion. This was a prospective, descriptive, and comparative study, which included 40 patients undergoing lumbar fusion, who were divided into two groups: group I, autograft only, and group II, autograft associated with PRP. After surgery, patients were followed-up on the first, third, and sixth month. The Molinari radiographic classification and Glassman tomographic classification were used as criteria to analyze the bone consolidation. Comparing the group I with group II, according to the criteria of Molinari, bilateral fusion was observed in 27.5% of the patients in group I in the first month after surgery. In group II, the rate of bilateral fusion was 25.0% and 20% in the third and sixth months, respectively. The results of computed tomography scans performed at six months after surgery indicated, according to the criteria of Glassman, a rate of bilateral solid fusion of 15.0% and 10.0% in groups I and II, respectively. The use of PRP showed no significant difference in bone healing in cases of lumbar arthrodesis.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Researcher 2 20%
Other 1 10%
Lecturer 1 10%
Unknown 3 30%
Readers by discipline Count As %
Nursing and Health Professions 2 20%
Medicine and Dentistry 2 20%
Computer Science 1 10%
Veterinary Science and Veterinary Medicine 1 10%
Neuroscience 1 10%
Other 1 10%
Unknown 2 20%