↓ Skip to main content

Cartilage lesions and ankle osteoarthrosis: review of the literature and treatment algorithm

Overview of attention for article published in Revista Brasileira de Ortopedia, November 2014
Altmetric Badge

Mentioned by

facebook
2 Facebook pages

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
46 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cartilage lesions and ankle osteoarthrosis: review of the literature and treatment algorithm
Published in
Revista Brasileira de Ortopedia, November 2014
DOI 10.1016/j.rboe.2014.11.003
Pubmed ID
Authors

Alexandre Leme Godoy Santos, Marco Kawamura Demange, Marcelo Pires Prado, Tulio Diniz Fernandes, Pedro Nogueira Giglio, Beat Hintermann

Abstract

The main etiology of ankle osteoarthrosis is post-traumatic and its prevalence is highest among young individuals. Thus, this disease has a great socioeconomic impact and gives rise to significant losses of patients' quality of life. The objective of its treatment is to eliminate pain and keep patients active. Therefore, the treatment should be staged according to the degree of degenerative evolution, etiology, joint location, systemic condition, bone quality, lower-limb alignment, ligament stability and age. The treatment algorithm is divided into non-surgical therapeutic methods and options for surgical treatment. Joint preservation, joint replacement and arthrodesis surgical procedures have precise indications. This article presents a review on this topic and a proposal for a treatment algorithm for this disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Belgium 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Student > Bachelor 5 11%
Researcher 5 11%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Nursing and Health Professions 4 9%
Sports and Recreations 4 9%
Engineering 2 4%
Neuroscience 2 4%
Other 2 4%
Unknown 12 26%