@article{oai:repository.lib.tottori-u.ac.jp:00004712,
 author = {Matsunaga, Tomoyuki and Miyata, Hiroshi and Sugimura, Keijiro and Motoori, Masaaki and Asukai, Kei and Yanagimoto, Yoshitomo and Yamamoto, Kazuyoshi and Akita, Hirofumi and Nishimura, Junichi and Wada, Hiroshi and Takahashi, Hidenori and Yasui, Masayoshi and Omori, Takeshi and Ohue, Masayuki and Fujiwara, Yoshiyuki and Yano, Masahiko},
 issue = {1},
 journal = {Yonago Acta Medica, Yonago Acta Medica},
 month = {Feb},
 note = {Background: The prognostic value of combination of C-reactive protein and prealbumin (CRP/PAlb) in esophageal cancer remains unclear. Methods: We enrolled 167 esophageal cancer patients who underwent curative esophagectomy. Univariate and multivariate analyses were performed to determine the prognostic significance of various markers, including CRP-to-albumin (CRP/Alb) ratio, modified Glasgow prognostic score, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index. Results: Receiver operating characteristic analysis revealed the optimal cut-off value of each inflammatory factor, and CRP/PAlb ratio had the greatest discriminative power in predicting recurrence-free survival (RFS) among the examined measures (AUC 0.668). The 5-year overall survival and RFS rates were significantly lower in patients with high CRP/PAlb ratio than in those with low CRP/PAlb ratio (P < 0.001, P = 0.001, respectively). In the univariate analysis, RFS was significantly worse in patients with low BMI, T2 or deeper tumor invasion, positive lymph node metastasis, positive venous invasion, high CRP/PAlb ratio, high CRP/Alb ratio, high NLR, and high LMR. Multivariate analysis revealed that CRP/PAlb, but not CRP/Alb, was an independent prognostic factor along with lymph node metastasis. Conclusion: CRP/PAlb ratio was useful for predicting the prognosis of esophageal cancer patients.},
 pages = {8--19},
 title = {Prognostic Significance of C-reactive Protein-to-prealbumin Ratio in Patients with Esophageal Cancer},
 volume = {63},
 year = {2020}
}