已发表论文

血浆纤维蛋白原可预测膀胱癌患者根治性膀胱切除术后的预后

 

Authors Yang S, Guan H, Wang S, Wu H, Sun W, Chen Z, Li Q

Received 24 June 2020

Accepted for publication 4 September 2020

Published 29 September 2020 Volume 2020:12 Pages 9303—9314

DOI https://doi.org/10.2147/CMAR.S269244

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Ahmet Emre Eskazan

Background: This study aimed to determine the potential utility of plasma fibrinogen as a prognostic factor in patients with bladder cancer (BCa) after radical cystectomy (RC).
Methods: Patients with BCa who underwent RC from 2014 to 2019 were analyzed retrospectively. The indexes of plasma coagulation and fibrinolysis system factors were collected. Kaplan–Meier survival curves were used to calculate the overall survival (OS) and disease-free survival (DFS). The prognostic value of plasma fibrinogen was analyzed by using Cox regression model, and a nomogram of BCa based on plasma fibrinogen was generated by R software.
Results: Among 145 patients, the optimal cut-off value of plasma fibrinogen was 3.14g/L. High level of plasma fibrinogen was related to the poor prognosis of patients with BCa, and plasma fibrinogen has a more accurate prognostic ability than other plasma coagulation and fibrinolysis system factors. Multivariate Cox regression analysis showed that plasma fibrinogen was an independent predictor of OS (> 3.14 vs ≤ 3.14 HR, 2.58, 95% CI = 1.28– 5.23; p = 0.008) and DFS (> 3.14 vs ≤ 3.14 HR, 2.60, 95% CI = 1.20– 5.65; p = 0.016), and the nomogram based on plasma fibrinogen had better accuracy and discrimination (area under the curve (AUC): OS = 0.741, DFS = 0.733).
Conclusion: Plasma fibrinogen can be used as an independent predictor of OS and DFS for RC patients, and the nomogram based on plasma fibrinogen was a reliable model for predicting the prognosis after RC.
Keywords: bladder cancer, plasma fibrinogen, radical cystectomy, prognosis, nomogram




Figure 2 Analysis of predictive accuracy through the evaluation of...