Lene Rahr-Wagner,1,2 Theis M Thillemann,1 Martin C Lind,1 Alma B Pedersen21Division of Sports Trauma, Department of Orthopaedic Surgery, Aarhus University Hospital, Aarhus C, Denmark; 2Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, DenmarkIntroduction: The aim of this study was to validate the registration in the Danish Knee Ligament Reconstruction Register (DKRR) by assessing the registration completeness of the anterior cruciate ligament (ACL) reconstruction code and detecting the validity of important key variables. Furthermore, we assessed data quality of patient-related outcome scores.Material and methods: All operation codes for ACL reconstruction from 2005–2011 were identified in the Danish National ...
PURPOSE: To identify predictors for additional anterior cruciate ligament (ACL) reconstruction. METH...
Background and purpose No prospective surveillance systems have been available for monitoring the ou...
Purpose: External validation of machine learning predictive models is achieved through evaluation of...
Introduction: The aim of this study was to validate the registration in the Danish Knee Ligament Rec...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Objective: To perform a systematic review of findings from the Scandinavian knee ligament registers ...
AbstractPurposeThe purpose of this work was to report the main characteristics and results of all ac...
Objective: To present an overview of the Scandinavian knee ligament registers with regard to factors...
Background: There is paucity in studies reporting long-term results following anterior cruciate liga...
<p><small><b>Background:</b> There is paucity in studies reporting long-term results following ante...
Purpose: Although reference values in healthy subjects have been published for both the Internationa...
PURPOSE: To identify predictors for additional anterior cruciate ligament (ACL) reconstruction. METH...
AbstractPurposeThe purpose of this work was to report the main characteristics and results of all ac...
PURPOSE: To identify predictors for additional anterior cruciate ligament (ACL) reconstruction. METH...
Background and purpose No prospective surveillance systems have been available for monitoring the ou...
Purpose: External validation of machine learning predictive models is achieved through evaluation of...
Introduction: The aim of this study was to validate the registration in the Danish Knee Ligament Rec...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Background: The Norwegian Knee Ligament Register was founded in 2004 to provide representative and r...
Objective: To perform a systematic review of findings from the Scandinavian knee ligament registers ...
AbstractPurposeThe purpose of this work was to report the main characteristics and results of all ac...
Objective: To present an overview of the Scandinavian knee ligament registers with regard to factors...
Background: There is paucity in studies reporting long-term results following anterior cruciate liga...
<p><small><b>Background:</b> There is paucity in studies reporting long-term results following ante...
Purpose: Although reference values in healthy subjects have been published for both the Internationa...
PURPOSE: To identify predictors for additional anterior cruciate ligament (ACL) reconstruction. METH...
AbstractPurposeThe purpose of this work was to report the main characteristics and results of all ac...
PURPOSE: To identify predictors for additional anterior cruciate ligament (ACL) reconstruction. METH...
Background and purpose No prospective surveillance systems have been available for monitoring the ou...
Purpose: External validation of machine learning predictive models is achieved through evaluation of...