Research graph
References from The prognostic nutritional index vs. MELD for short-term mortality in critically ill liver disease: a retrospective multi-cohort study. Local targets link to admitted publications; unresolved targets remain external evidence.
European Association for the Study of the Liver. EASL clinical practice guidelines on nutrition in chronic liver disease
10.1016/j.jhep.2018.06.024 · 2019 · External reference
Malnutrition, frailty, and sarcopenia in patients with cirrhosis: 2021 practice guidance by the American Association for the Study of Liver Diseases
10.1002/hep.32049 · 2021 · External reference
ESPEN guideline on clinical nutrition in liver disease
10.1016/j.clnu.2018.12.022 · 2019 · External reference
GLIM criteria for the diagnosis of malnutrition – a consensus report from the global clinical nutrition community
10.1016/j.clnu.2018.08.002 · 2019 · External reference
Development of a novel frailty index to predict mortality in patients with end-stage liver disease
10.1002/hep.29219 · 2017 · External reference
Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients
1984 · External reference
Prognostic value of Prognostic Nutritional Index in cancer: an umbrella review of systematic review and meta-analysis
10.3389/fnut.2025.1706534 · 2026 · External reference
A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI)
10.1038/bjc.2012.92 · 2012 · External reference
Hypoalbuminemia: pathogenesis and clinical significance
10.1002/jpen.1451 · 2019 · External reference
Cirrhosis-associated immune dysfunction: distinctive features and clinical relevance
10.1016/j.jhep.2014.08.010 · 2014 · External reference
A model to predict survival in patients with end-stage liver disease
10.1053/jhep.2001.22172 · 2001 · External reference
MELD 3
10.1053/j.gastro.2021.08.050 · 2021 · External reference
Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association
10.1161/circulationaha.109.192278 · 2009 · External reference
STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies
10.1016/s0140-6736(07)61602-x · 2007 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
MIMIC-IV, a freely accessible electronic health record dataset
10.1038/s41597-022-01899-x · 2023 · External reference
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
10.1038/sdata.2018.178 · 2018 · External reference
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · 2000 · External reference
APACHE II: a severity of disease classification system
10.1097/00003246-198510000-00009 · 1985 · External reference
Hyponatremia and mortality among patients on the liver-transplant waiting list
10.1056/nejmoa0801209 · 2008 · External reference
A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study
10.1001/jama.1993.03510240069035 · 1993 · External reference
Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients
10.1097/01.ccm.0000215112.84523.f0 · 2006 · External reference
A new method of classifying prognostic comorbidity in longitudinal studies: development and validation
10.1016/0021-9681(87)90171-8 · 1987 · External reference
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
10.1001/jama.2016.0287 · 2016 · External reference
KDIGO clinical practice guideline for acute kidney injury
2012 · External reference
A new severity of illness scale using a subset of Acute Physiology and Chronic Health Evaluation data elements shows comparable predictive accuracy
10.1097/ccm.0b013e31828a24fe · 2013 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond
10.1002/sim.2929 · 2008 · External reference
Fast implementation of DeLong's algorithm for comparing the areas under correlated receiver operating characteristic curves
10.1109/lsp.2014.2337313 · 2014 · External reference
Sensitivity analysis in observational research: introducing the E-value
10.7326/m16-2607 · 2017 · External reference
mice: multivariate imputation by chained equations in R
10.18637/jss.v045.i03 · 2011 · External reference
Prognostic nutritional index: a potential biomarker for predicting the prognosis of decompensated liver cirrhosis
10.3389/fnut.2022.1092059 · 2022 · External reference
Comparative prognostic accuracy of objective nutritional indices in critically ill patients with sepsis: a systematic review and meta-analysis
10.3390/jcm15103885 · 2026 · External reference
Neutrophil-to-lymphocyte ratio predicts death in acute-on-chronic liver failure patients admitted to the intensive care unit: a retrospective cohort study
10.1097/shk.0000000000000993 · 2018 · External reference
Hypoalbuminemia in acute illness: is there a rationale for intervention? A meta-analysis of cohort studies and controlled trials
10.1097/01.sla.0000055547.93484.87 · 2003 · External reference
Persistent lymphopenia after diagnosis of sepsis predicts mortality
10.1097/shk.0000000000000234 · 2014 · External reference
Red blood cell distribution width independently predicts 1-month mortality in acute decompensation of cirrhotic patients admitted to emergency department
10.1097/meg.0000000000000993 · 2018 · External reference
Prognostic value of red blood cell distribution width in non-cardiovascular critically or acutely patients: a systematic review
10.1371/journal.pone.0167000 · 2016 · External reference
The Royal Free Hospital-Nutritional Prioritizing Tool is an independent predictor of deterioration of liver function and survival in cirrhosis
10.1007/s10620-015-4015-z · 2016 · External reference
Muscle wasting is associated with mortality in patients with cirrhosis
10.1016/j.cgh.2011.08.028 · 2012 · External reference
Inclusion of sarcopenia within MELD (MELD-Sarcopenia) and the prediction of mortality in patients with cirrhosis
10.1038/ctg.2015.31 · 2015 · External reference
Prognostic value of muscle atrophy in cirrhosis using psoas muscle thickness on computed tomography
10.1016/j.jhep.2014.02.026 · 2014 · External reference
A rapid bedside screen to predict unplanned hospitalization and death in outpatients with cirrhosis: a prospective evaluation of the Clinical Frailty Scale
10.1038/ajg.2016.303 · 2016 · External reference
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Assessing the performance of prediction models: a framework for traditional and novel measures
10.1097/ede.0b013e3181c30fb2 · 2010 · External reference
