ArticleWorld journal of clinical cases2022
Development and validation of a prognostic nomogram for decompensated liver cirrhosis.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Development and validation of a nomogram for predicting hospitalization-associated disability in older patients with acute heart failure.Frontiers in cardiovascular medicine · 2026Article
- Exploring a potential novel marker for short-term mortality in decompensated cirrhosis: insights from a multicentre study.Annals of medicine · 2025Article
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5 authors.
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Abstract
backgroundDecompensated liver cirrhosis (DLC) is a stage in the progression of liver cirrhosis and has a high mortality.
aimTo establish and validate a novel and simple-to-use predictive nomogram for evaluating the prognosis of DLC patients.
methodsA total of 493 patients with confirmed DLC were enrolled from The First Affiliated Hospital of Nanchang University (Nanchang, Jiangxi Province, China) between December 2013 and August 2019. The patients were divided into two groups: a derivation group (
resultsAge, mechanical ventilation application, model for end-stage liver disease (MELD) score, mean arterial blood pressure, and arterial oxygen partial pressure/inhaled oxygen concentration were used to construct the model. The C-indexes of the nomogram in the derivation and validation groups were 0.780 (95%CI: 0.670-0.889) and 0.792 (95%CI: 0.698-0.886), respectively. The calibration curve exhibited good consistency with the actual observation curve in both sets. In addition, decision curve analysis indicated that our nomogram was useful in clinical practice.
conclusionA simple-to-use novel nomogram based on a large Asian cohort was established and validated and exhibited improved performance compared with the Child-Turcotte-Pugh and MELD scores. For patients with DLC, the proposed nomogram may be helpful in guiding clinicians in treatment allocation and may assist in prognosis prediction.
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