An analysis of data quality and population characteristics of the SIGN online surgical database: A 20 year review

An analysis of data quality and population characteristics of the SIGN online surgical database: A 20 year review

Background: There is a disproportionate burden of musculoskeletal injury in low- and middle-income countries (LMICs). The SIGN Online Surgical Database (SOSD) serves as one of the only robust global trauma registries, with over 150,000 cases recorded over the past two decades. The SOSD contains impo...

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Bibliographic Details
Main Authors: Matthew Roces, Ericka von Kaeppler, Claire Donnelley, Mayur Urva, Abigail Cortez, Kelsey Brown, Michael Flores, Patricia Rodarte, Kian Niknam, Francisco Gomez-Alvarado, Babapelumi Adejuyigbe, Lewis Zirkle, David Shearer
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Orthopaedic Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2773157X24000298

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http://www.sciencedirect.com/science/article/pii/S2773157X24000298

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