Development and Validation of a Nomogram Based on Inflammatory Markers for Risk Prediction in Meige Syndrome Patients
We constructed a nomogram based on five risk predictors, RDW, HGB, HDL-C, the LMR and the SII, to predict MS and enhance the predictive accuracy for identifying MS risk.
Authors
- Cui Liu (ORCID: https://orcid.org/0000-0002-0609-0073)
- Yajie Ma
- Hongliang Huo (ORCID: https://orcid.org/0000-0002-1022-8231)
- Xinyu Feng (ORCID: https://orcid.org/0000-0002-4120-7759)
- James Zhou (ORCID: https://orcid.org/0000-0003-4805-9282)
- Runing Fu
- Wenping Lian (ORCID: https://orcid.org/0000-0001-7864-9537)
- Mengle Peng (ORCID: https://orcid.org/0000-0001-8693-6923)
- Shukai Wang (ORCID: https://orcid.org/0009-0000-8958-3713)
- Xinyu Zhang (ORCID: https://orcid.org/0000-0002-4212-2917)
- Gang Liu (ORCID: https://orcid.org/0000-0001-9428-1170)
- Daxin Wang
- Yingjie Zhu (ORCID: https://orcid.org/0000-0002-6897-0340)
- Bohao Zhang (ORCID: https://orcid.org/0009-0004-8045-4834)
- Saisai Gao (ORCID: https://orcid.org/0009-0006-4284-9303)
Institutions
- Henan Provincial People's Hospital (CN)
- Zhengzhou People's Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/jir.s481649
- Citations
- 3
- Primary Topic
- Systemic Sclerosis and Related Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.27