已发表论文

术前纤维蛋白原对非转移性结直肠癌患者临床预后的预测价值

 

Authors Sun Y, Han W, Song Y, Gao P, Yang Y, Yu D, Wang Y, Wang Z

Received 4 August 2020

Accepted for publication 3 December 2020

Published 23 December 2020 Volume 2020:12 Pages 13301—13309

DOI https://doi.org/10.2147/CMAR.S275498

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Harikrishna Nakshatri

Background: The prognostic role of preoperative fibrinogen in colorectal cancer (CRC) patients remains controversial. Therefore, we assessed the predictive value of preoperative fibrinogen and developed a tool for predicting the survival of CRC patients.
Methods: This retrospective study evaluated 1869 patients who underwent curative resection for CRC. Univariate and multivariate survival analyses were conducted to identify the factors correlated with overall survival (OS) and cancer-specific survival (CSS). Nomograms were developed as a graphical representation of the Cox proportional hazards regression models. The performance of the nomograms was assessed by Harrell’s concordance index (c-index) and calibration plots.
Results: The preoperative fibrinogen levels were correlated with age, tumor differentiation, tumor location, pT category, and TNM stage. In the multivariate analysis, elevated fibrinogen level was independently correlated with worse OS and CSS (OS: hazard ratio [HR] = 0.777, 95% confidence interval [95% CI] = 0.630– 0.958, P = 0.018; CSS: HR = 0.757, 95% CI = 0.605– 0.947, P = 0.015). The nomograms could predict outcomes with a c-index for OS and CSS of 0.79 and 0.81, respectively. The nomograms also had a good calibration.
Conclusion: Preoperative fibrinogen level was an independent marker of poor prognosis in patients with nonmetastatic CRC, and there was a threshold level for the use of fibrinogen as a prognostic factor. Furthermore, nomograms may help predict the individual risk of OS and CSS in patients treated for CRC.
Keywords: colorectal cancer, fibrinogen, prognosis, TNM staging, nomogram