Observational studyMedicine2019
Analysis of mortality prognostic factors using model for end-stage liver disease with incorporation of serum-sodium classification for liver cirrhosis complications: A retrospective cohort study.
Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- A Review of Mortality Risk Prediction Models in Smartphone Applications.Journal of medical systems · 2021Pooled it
- Transjugular intrahepatic portosystemic shunt and non-selective beta-blockers act as friends or foe in decompensated cirrhosis: A comparative review.World journal of gastrointestinal surgery · 2025Review
- Update on the Complications and Management of Liver Cirrhosis.Medical sciences (Basel, Switzerland) · 2025Review
- Survival and Disease Progression in Older Adult Patients With Cirrhosis: A Retrospective Study.International journal of hepatology · 2024Article
- Predictive Factors for the Prognosis of Alcoholic Liver Cirrhosis.Medicina (Kaunas, Lithuania) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the progression of cirrhosis is accelerated each time a complication recurs, the management and treatment of the complication is critical in enhancement of the quality of life and expectation of life in patients. The use of model for end-stage liver disease with incorporation of serum-sodium (MELD-Na) with physiological indicators can be used to assess severity and differentiate therapeutic interventions.This study is aimed to determine the mean survival period and cumulative survival rate by classifying patients into high-risk and low-risk groups based on MELD-Na, a predictor of mortality in liver disease, and to investigate the mortality prognostic factors.A retrospective cohort study, which follows the STROBE checklist, was performed. 263 patients who were diagnosed with liver cirrhosis complications for the first time and hospitalized were selected as the subjects of this study. The collected data were analyzed based on the survival package provided by the statistical program R version 3.4.2.Subjects were classified into high-risk and low-risk groups using MELD-Na 14 points where sensitivity and specificity crossed the cut-off point. Gender, age, and primary caregiver were significant variables in the mortality high-risk group, and AST, albumin, and primary caregiver were significant variables in the mortality low-risk group. Based on these mortality prognostic factors, it is possible to present the factors affecting mortality in patients who were diagnosed with liver cirrhosis complications for the first time. The classification of patients by risk level could be the foundation to provide accurate guidelines for management and it is necessary to modify prognostic factors and apply nursing interventions to manage complications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.