
Prognostic models are useful to estimate disease severity, establish expected survival in a specific situation, and calculate the risk of certain medical interventions. Of all the scores described in liver cirrhosis, those with the widest clinical applicability are the Child-Pugh classification and the model for end-stage liver disease (MELD). Although the Child-Pugh classification was used for many years to stratify patients and select those that can safely undergo liver surgery, currently this classification has been substituted by the MELD. This model uses only three simple and objective variables and has consequently become the most widely used instrument, especially to fix priorities when allocating organs in liver transplantation. Nevertheless, this model has some limitations since some indications for liver transplantation (hepatocarcinoma, metabolic diseases, etc.) and certain comorbidities in patients with cirrhosis (hepatic encephalopathy, hyponatremia, refractory ascites) are not well represented in the MELD.
Liver Cirrhosis, Models, Statistical, Humans, Prognosis
Liver Cirrhosis, Models, Statistical, Humans, Prognosis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
