Prognostic Evaluation of Prognostic Nutrition Index for Patients with Radical Cystectomy: A Meta-analysis
10.3971/j.issn.1000-8578.2021.21.0326
- VernacularTitle:预后营养指数评估根治性膀胱切除术患者预后的Meta分析
- Author:
Wenchao TANG
1
;
Yuanwei LI
;
Jia CHEN
;
Yipeng QIN
;
Zhiying WU
;
Huifeng FU
Author Information
1. Department of Urology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha 410005, China
- Publication Type:Research Article
- Keywords:
Bladder cancer;
Radical cystectomy;
Prognostic nutritional index;
Prognosis
- From:
Cancer Research on Prevention and Treatment
2021;48(9):871-876
- CountryChina
- Language:Chinese
-
Abstract:
Objective To systematically evaluate the relation between prognostic nutrition index (PNI) and prognosis of bladder cancer (BC) patients treated with radical cystectomy (RC). Methods We searched the literatures about the relation between PNI and the prognosis of patients treated with radical cystectomy published from the inception to January 30, 2021 in PubMed, Embase, Web of Science, CNKI, Wanfang, VIP and Chinese Medical Journal Database, and used RevMan5.3 software for Meta analysis. Results We included six literatures which comprise a total of 1273 patients. The results showed that there was a significant correlation between low PNI and OS of BC patients treated with RC (HR=2.0, 95%CI: 1.56-2.56), and there was a significant difference in RFS, PFS and DSS between low PNI and BC patients treated with RC (HR=1.93, 95%CI: 1.51-2.48). In the subgroup analysis, there were statistical differences in PNI and the prognosis of BC patients treated with RC between the Chinese group (HR=2.13, 95%CI: 1.62-2.81) and the Japanese group (HR=1.78, 95%CI: 1.08-2.94), and the PNI cutoff value had a good predictive effect on the prognosis of patients in the range of 46.08-51.30. Conclusion There is a significant relation between the level of PNI and OS of bladder cancer patients treated with radical cystectomy. Low PNI can be used as an effective marker to predict the prognosis of patients.
