↓ Skip to main content

REPRODUCIBILITY OF SCHATZKER CLASSIFICATION THROUGH SMARTPHONE APPLICATIONS

Overview of attention for article published in Acta Ortopédica Brasileira, January 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 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
REPRODUCIBILITY OF SCHATZKER CLASSIFICATION THROUGH SMARTPHONE APPLICATIONS
Published in
Acta Ortopédica Brasileira, January 2016
DOI 10.1590/1413-785220162406159078
Pubmed ID
Authors

Mauro Rodrigues dos Santos, Junichiro Sado, Roberto Medeiros de Sousa, Osman Rodrigues Roriz

Abstract

To evaluate the intra-observer reproducibility of Schatzker classification for tibial plateau fractures through smartphone applications. Radiographs were evaluated in two incidences (anteroposterior and profile) and CT slices (axial, sagittal and coronal) of 37 patients with tibial plateau fracture. Two evaluators, knee surgery experts, classified the cases by viewing the images of the isolated radiographs and then X-rays associated with CT slices in four different stages via smartphones and then presential assessment. Data were statistically analyzed with the Kappa coefficient (k). There was intra-observer agreement by comparing the two methods of evaluation: display or via smartphone, and the analysis made showed statistical significance. The use of smartphones did not affect the reliability of Schatzker classification. Level of Evidence III, Diagnostic Study - Investigating a Diagnostic Test.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Other 3 15%
Student > Ph. D. Student 3 15%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 10 50%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Social Sciences 1 5%
Materials Science 1 5%
Other 0 0%
Unknown 6 30%