@article{ATM31992,
author = {Zhen-Qiang He and Hao Duan and Fu-Hua Lin and Ji Zhang and Yin-Sheng Chen and Guan-Hua Zhang and Cheng-Cheng Guo and Chao Ke and Xiang-Heng Zhang and Zheng-He Chen and Jian Wang and Zhong-Ping Chen and Xiao-Bing Jiang and Yong-Gao Mou},
title = {Pretreatment neutrophil-to-lymphocyte ratio plus albumin-to-gamma-glutamyl transferase ratio predict the diagnosis of grade III glioma},
journal = {Annals of Translational Medicine},
volume = {7},
number = {22},
year = {2019},
keywords = {},
abstract = {Background: The present study explored the predictive value of systemic inflammatory indexes in diagnosing grade III gliomas of oligodendroglial origin.
Methods: A retrospective study of 154 patients with grade III gliomas was conducted. Systemic inflammatory indexes, including neutrophil-to-lymphocyte ratio (NLR), albumin-to-gamma-glutamyl transferase ratio (AGR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, prognostic nutritional index, and fibrinogen-to-albumin ratio, were reviewed. The resulting predictive model was externally validated using a demographic-matched cohort of 49 grade III glioma patients.
Results: In the training set, gliomas of oligodendroglial origin tended to have a lower NLR (P=0.018) and a higher AGR (P=0.036) than those with tumors of astrocytic origin. Moreover, both NLR and AGR had predictive value for oligodendroglial tumors, when compared with astrocytic tumors. The best diagnostic value was obtained using NLR + AGR (AUC =64.9%, 95% CI: 55.5–74.3%, P=0.005). In the validation set, NLR + AGR satisfactorily predicted the presence of oligodendroglial tumors (AUC =66.5%, 95% CI: 50.6–82.4%, P},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/31992}
}