Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis

BACKGROUND: Several models have been proposed to predict the short-term outcome of acute-on-chronic liver failure (ACLF) after treatment. We aimed to determine whether better decisions for artificial liver support system (ALSS) treatment could be made with a model than without, through decision curv...

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Detalles Bibliográficos
Autores principales: Qin, Gang, Bian, Zhao-Lian, Shen, Yi, Zhang, Lei, Zhu, Xiao-Hong, Liu, Yan-Mei, Shao, Jian-Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893223/
https://www.ncbi.nlm.nih.gov/pubmed/27260306
http://dx.doi.org/10.1186/s12911-016-0302-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893223/
https://www.ncbi.nlm.nih.gov/pubmed/27260306
http://dx.doi.org/10.1186/s12911-016-0302-7

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