Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression
This study is the first to identify preoperative NPAR as a significant prognostic biomarker for ADG using machine learning approaches. The prognostic model incorporating NPAR, platelet-to-mean platelet volume ratio, and age demonstrated favorable predictive performance, offering a novel perspective for accurate risk stratification and personalized treatment in patients with ADG.
Authors
- Jiyang An
- Lili Zhou (ORCID: https://orcid.org/0000-0002-0910-8689)
- Congcong Zhu (ORCID: https://orcid.org/0000-0002-1657-8726)
Institutions
- First Affiliated Hospital of Henan University of Science and Technology (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-11-25
- DOI
- https://doi.org/10.2196/79945
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00