Evidence map›Paper›PMID 42688755›Full record

ArticleFrontiers in medicine2026

Development and validation of a predictive nomogram for myopenia in patients with decompensated cirrhosis.

Xiaona Yuan, Xin Yang, Xueming Du, Yangyang Zhou

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaona Yuan *Department of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin Yang *Department of Gynaecology and Obstetrics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xueming Du *Department of Gynaecology and Obstetrics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yangyang Zhou *Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Myopenia is common in patients with cirrhosis and is associated with adverse clinical outcomes. However, current methods for assessing and diagnosing muscle depletion limit their application. In this study, we aimed to develop a simple and reliable nomogram to identify concurrent myopenia in patients with decompensated cirrhosis (DC). Methods: A total of 462 patients with DC at Wuhan Union Hospital between January 2015 and August 2022 were included. They were randomly divided into either the development cohort ( Results: Hematemesis, corrected body mass index (BMI), and fibrinogen were effectively identified as predictors of myopenia in patients with DC. The nomogram showed an area under the curve of 0.748 and 0.795 in the development and validation cohorts. The sensitivity, specificity, and Youden index of the development cohort were 47.7 and 89.2%, and 0.369, respectively. Calibration curves and decision curve analysis confirmed great accuracy and clinical utility. Conclusion: We developed and internally validated a nomogram to identify myopenia in patients with DC, which may support timely nutritional and functional evaluation.

Indexed as

corrected BMIdecompensated cirrhosismyopenianomogramprediction

Identifiers

PMID42688755
PMCPMC13535287

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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.