Development and validation of predictive models for meige syndrome patients based on oxidative stress markers

This study developed a nomogram based on four risk predictors, GGT, TBIL, albumin, and the urea nitrogen-to-creatinine ratio, to forecast the risk of MS and enhance the accuracy of MS risk prediction.

Authors

Xinyu Feng (ORCID: https://orcid.org/0000-0002-4120-7759)
Runing Fu
Wenping Lian (ORCID: https://orcid.org/0000-0001-7864-9537)
Pengbo Feng
Yingjie Zhu (ORCID: https://orcid.org/0000-0002-6897-0340)
Ziang Wang (ORCID: https://orcid.org/0000-0003-0748-9198)
Xinjie Zhu

Institutions

Hebei Medical University (CN)
Second Hospital of Hebei Medical University (CN)
Henan Medical University (CN)

Publication Details

Journal: Frontiers in Immunology
Published: 2025-05-05
DOI: https://doi.org/10.3389/fimmu.2025.1536109
Primary Topic: Healthcare and Venom Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Development and validation of predictive models for meige syndrome patients based on oxidative stress markers

Xinyu Feng, Runing Fu, Wenping Lian, Pengbo Feng et al.

May 5, 2025

Frontiers in Immunology

Healthcare and Venom Research

article

Development and validation of predictive models for meige syndrome patients based on oxidative stress markers

Xinyu Feng, Runing Fu, Wenping Lian, Pengbo Feng, Yingjie Zhu, Ziang Wang, Xinjie Zhu

May 5, 2025article en

Abstract

This study developed a nomogram based on four risk predictors, GGT, TBIL, albumin, and the urea nitrogen-to-creatinine ratio, to forecast the risk of MS and enhance the accuracy of MS risk prediction.

Frontiers in ImmunologyVol. 16

Hebei Medical University (CN), Second Hospital of Hebei Medical University (CN), Henan Medical University (CN)

Openalex Percentile: Top 89%

Healthcare and Venom Research

DOI Open Access PDF OpenAlex

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Development and validation of predictive models for meige syndrome patients based on oxidative stress markers — Xinyu Feng, Runing Fu, et al. · Frontiers in Immunology (2025) | TGRS Research Map | TGRS