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Validity of humerus fracture classification in the Swedish fracture register

Overview of attention for article published in BMC Musculoskeletal Disorders, June 2017
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Title
Validity of humerus fracture classification in the Swedish fracture register
Published in
BMC Musculoskeletal Disorders, June 2017
DOI 10.1186/s12891-017-1612-3
Pubmed ID
Authors

David Wennergren, Stina Stjernström, Michael Möller, Mikael Sundfeldt, Carl Ekholm

Abstract

The ability to correctly classify fractures is of importance for choosing the appropriate treatment and for providing appropriate data for research and quality registers. In the Swedish Fracture Register (SFR) fractures of all types are registered by the attending physician, often a junior doctor. For the majority of fractures, a modified AO/OTA classification is used. This study aimed to validate the accuracy of classification of humerus fractures in the SFR and also at providing insight into inherent classification uncertainties. One hundred and sixteen humerus fractures (among them 90 proximal) were retrieved by computer randomisation from the SFR and reassessed independently at two occasions, 6 weeks apart, by three senior orthopaedic surgeons blinded to patient information and a consensus "gold standard" classification was established. This was compared with the classifications that had been entered into the register. The agreement between gold standard classification and original classification in the SFR was kappa = 0.57 for all humerus fractures. For proximal humerus fractures kappa-coefficient for intra-observer agreement was 0.593, 0.599 and 0.752 for the three observers respectively. Taking into account the similarities between certain fracture groups, a modified calculation of agreement was performed. With this modification the intra-observer agreement was 0.910-0.974 and inter-observer agreement was 0.912. The classification of humerus fractures in the Swedish Fracture Register was just as accurate as in previous studies, i.e. moderate as defined by Landis and Koch. However, when we introduced a modified analysis, that takes into account the similarities between certain fractures, the accuracy was "near perfect".

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Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Researcher 7 13%
Student > Doctoral Student 7 13%
Student > Master 7 13%
Student > Bachelor 4 8%
Other 11 21%
Unknown 9 17%
Readers by discipline Count As %
Medicine and Dentistry 27 52%
Engineering 3 6%
Nursing and Health Professions 3 6%
Psychology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 15 29%