Your browser doesn't support javascript.
loading
Scoping Review on ACL Surgery and Registry Data.
Kaarre, Janina; Zsidai, Bálint; Narup, Eric; Horvath, Alexandra; Svantesson, Eleonor; Hamrin Senorski, Eric; Grassi, Alberto; Musahl, Volker; Samuelsson, Kristian.
  • Kaarre J; Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. janina.kaarre@gu.se.
  • Zsidai B; Sahlgrenska Sports Medicine Center (SSMC), Gothenburg, Sweden. janina.kaarre@gu.se.
  • Narup E; Department of Orthopaedic Surgery, UPMC Freddie Fu Sports Medicine Center, University of Pittsburgh, Pittsburgh, PA, USA. janina.kaarre@gu.se.
  • Horvath A; Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Svantesson E; Sahlgrenska Sports Medicine Center (SSMC), Gothenburg, Sweden.
  • Hamrin Senorski E; Department of Orthopaedic Surgery, UPMC Freddie Fu Sports Medicine Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Grassi A; Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Musahl V; Sahlgrenska Sports Medicine Center (SSMC), Gothenburg, Sweden.
  • Samuelsson K; Sahlgrenska Sports Medicine Center (SSMC), Gothenburg, Sweden.
Curr Rev Musculoskelet Med ; 15(5): 385-393, 2022 Oct.
Article en En | MEDLINE | ID: mdl-35829892
ABSTRACT
PURPOSE OF REVIEW To present an overview of registry-based anterior cruciate ligament (ACL) research, as well as provide insight into the future of ACL registries. RECENT

FINDINGS:

During the past decades, the ACL registries have had an important role in increasing our understanding of patients with ACL injuries and their treatment. The registry data has deepened our understanding of factors that have been associated with an increased risk of sustaining an ACL injury and for evaluation of treatment factors and their impact on patient-related outcomes. Recently, registry-based ACL research using artificial intelligence (AI) and machine learning (ML) has shown potential to create clinical decision-making tools and analyzing outcomes. Thus, standardization of collected data between the registries is needed to facilitate the further collaboration between registries and to facilitate the interpretation of results and subsequently improve the possibilities for implementation of AI and ML in the registry-based research. Several studies have been based on the current ACL registries providing an insight into the epidemiology of ACL injuries as well as outcomes following ACL reconstruction. However, the current ACL registries are facing future challenges, and thus, new methods and techniques are needed to ensure further good quality and clinical applicability of study findings based on ACL registry data.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Año: 2022 Tipo del documento: Article