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.

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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
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article

Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression

Jiyang An, Lili Zhou, Congcong Zhu
JMIR Medical Informatics
Inflammatory Biomarkers in Disease Prognosis
article

Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression

Jiyang An, Lili Zhou, Congcong Zhu
article en

Abstract

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.

JMIR Medical InformaticsVol. 14
First Affiliated Hospital of Henan University of Science and Technology (CN), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 50%
Inflammatory Biomarkers in Disease Prognosis
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