Prediction models for deep vein thrombosis after knee/hip arthroplasty: A systematic review and network meta-analysis.
J Orthop Surg (Hong Kong)
; 32(2): 10225536241249591, 2024.
Article
em En
| MEDLINE
| ID: mdl-38706263
ABSTRACT
Deep vein thrombosis (DVT) is one of the common complications after joint replacement, which seriously affects the quality of life of patients. We systematically searched nine databases, a total of eleven studies on prediction models to predict DVT after knee/hip arthroplasty were included, eight prediction models for DVT after knee/hip arthroplasty were chosen and compared. The results of network meta-analysis showed the XGBoost model (SUCRA 100.0%), LASSO (SUCRA 84.8%), ANN (SUCRA 72.1%), SVM (SUCRA 53.0%), ensemble model (SUCRA 40.8%), RF (SUCRA 25.6%), LR (SUCRA 21.8%), GBT (SUCRA 1.1%), and best prediction performance is XGB (SUCRA 100%). Results show that the XGBoost model has the best predictive performance. Our study provides suggestions and directions for future research on the DVT prediction model. In the future, well-designed studies are still needed to validate this model.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Complicações Pós-Operatórias
/
Artroplastia de Quadril
/
Artroplastia do Joelho
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Trombose Venosa
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Metanálise em Rede
Limite:
Humans
Idioma:
En
Revista:
J Orthop Surg (Hong Kong)
Assunto da revista:
ORTOPEDIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China