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November 24, 2025The Italian Journal of Pediatrics/Italian journal of pediatricsOpen Access

Development and validation of an online nomogram for screening metabolic-associated fatty liver disease in obese children

Jia-Qian Hu Mengqin Wang Xi Wang Mingwei Guo Yaqing Lu Zixia Zhang Miaomiao Li Guiying Sun Xiaocui Ma Yaodong Zhang Wancun Zhang Dongxiao Li Yongxing Chen Shuying Luo Haiyan Wei

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Abstract

This study developed an online nomogram that demonstrates robust diagnostic accuracy and clinical utility for assessing obese children's MAFLD risk.

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Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/69403db02d562116f290de21 https://doi.org/10.1186/s13052-025-02151-z

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Development and Validation of an Online Dynamic Nomogram for Predicting Nonobese Metabolic Dysfunction-associated fatty liver disease Based on Body Composition Analysis2025
2Development and validation of a nomogram for predicting metabolic-associated fatty liver disease in the Chinese physical examination populationcohort · 2023 · 1 citations
3Development and validation of a nomogram model for predicting the risk of MAFLD in the young population2024 · 12 citations
4A Dynamic Nomogram to Predict Metabolic Dysfunction-Associated Fatty Liver Disease in Patients with Metabolic SyndromeOriginal Research · 2026
5Development and validation of an online dynamic nomogram for nonobese metabolic dysfunction-associated steatotic liver disease based on body composition analysiscohort · 2026

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