Literature DB >> 34972748

Predicting Overall Survival Using Preoperative Nutritional and Inflammation Status for Colorectal Cancer.

Tamuro Hayama1, Tsuyoshi Ozawa2, Mitsuo Tsukamoto2, Yoshihisa Fukushima2, Ryu Shimada2, Keijiro Nozawa2, Keiji Matsuda2, Shoichi Fujii3, Takeo Fukagawa2, Yojiro Hashiguchi2.   

Abstract

AIM: It has been shown that nutritional status and inflammation correlate with survival in patients with various cancer types. In this study, we evaluated several kinds of nutritional and inflammation parameters in preoperative blood samples and constructed new risk model predicting survival in patients with colorectal cancer. PATIENTS AND METHODS: We retrospectively examined 286 patients with stage I-III colorectal cancer who had undergone curative resection at Teikyo University Hospital. The association between overall survival (OS) and nutritional status and inflammation factors were examined using Kaplan-Meier curves and log-rank tests.
RESULTS: Serum albumin, cholesterol and C-reactive protein concentration, neutrophil count and platelet count were shown to be correlated with OS. We constructed a new risk model (nutrition inflammation status, NIS) using these factors, and compared it with other nutrition and inflammation models.
CONCLUSION: NIS was useful as a new model for predicting OS in patients undergoing curative resection for colorectal cancer, compared with known models.
Copyright © 2022 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  CAR; Colon cancer; GPS; NIS.; NLR; PNI

Mesh:

Year:  2022        PMID: 34972748      PMCID: PMC8765180          DOI: 10.21873/invivo.12724

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  36 in total

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Authors:  Meghana D Gadgil; Cheryl A M Anderson; Namratha R Kandula; Alka M Kanaya
Journal:  J Nutr       Date:  2015-04-22       Impact factor: 4.798

5.  Combination of Serum Albumin and Cholinesterase Levels as Prognostic Indicator in Patients ith Colorectal Cancer.

Authors:  Manabu Yamamoto; Hiroaki Saito; Chihiro Uejima; Akimitsu Tanio; Yoichiro Tada; Tomoyuki Matsunaga; Teruhisa Sakamoto; Soichiro Honjo; Keigo Ashida; Yoshiyuki Fujiwara
Journal:  Anticancer Res       Date:  2019-02       Impact factor: 2.480

6.  Prognostic value of the preoperative prognostic nutritional index in oldest-old patients with colorectal cancer.

Authors:  Tetsuro Tominaga; Takashi Nonaka; Makoto Hisanaga; Akiko Fukuda; Yukinori Tanoue; Takafumi Yoshimoto; Shigekazu Hidaka; Terumitsu Sawai; Takeshi Nagayasu
Journal:  Surg Today       Date:  2019-11-12       Impact factor: 2.549

7.  Prognostic significance of C-reactive protein to albumin ratio in colorectal cancer patients: a meta-analysis.

Authors:  Yu Fan; Shouyan Xiang; Zhe Dai; Chen Zou; Xiaoyan Wang; Zhenjun Gao
Journal:  Int J Colorectal Dis       Date:  2019-04-23       Impact factor: 2.571

8.  Integrative Assessment of Pretreatment Inflammation-, Nutrition-, and Muscle-Based Prognostic Markers in Patients with Muscle-Invasive Bladder Cancer Undergoing Radical Cystectomy.

Authors:  Makito Miyake; Yosuke Morizawa; Shunta Hori; Nagaaki Marugami; Kota Iida; Kenta Ohnishi; Daisuke Gotoh; Yoshihiro Tatsumi; Yasushi Nakai; Takeshi Inoue; Satoshi Anai; Kazumasa Torimoto; Katsuya Aoki; Nobumichi Tanaka; Keiji Shimada; Noboru Konishi; Kiyohide Fujimoto
Journal:  Oncology       Date:  2017-06-24       Impact factor: 2.935

9.  Systemic immune-inflammation index for predicting prognosis of colorectal cancer.

Authors:  Jian-Hui Chen; Er-Tao Zhai; Yu-Jie Yuan; Kai-Ming Wu; Jian-Bo Xu; Jian-Jun Peng; Chuang-Qi Chen; Yu-Long He; Shi-Rong Cai
Journal:  World J Gastroenterol       Date:  2017-09-14       Impact factor: 5.742

10.  The pretreatment Controlling Nutritional Status (CONUT) score is an independent prognostic factor in patients undergoing resection for colorectal cancer.

Authors:  Tamuro Hayama; Tsuyoshi Ozawa; Yuka Okada; Mitsuo Tsukamoto; Yoshihisa Fukushima; Ryu Shimada; Keijiro Nozawa; Keiji Matsuda; Shoichi Fujii; Yojiro Hashiguchi
Journal:  Sci Rep       Date:  2020-08-06       Impact factor: 4.379

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  1 in total

1.  Prognostic Utility of Platelet-to-Albumin Ratio among Critically Ill Patients with Colorectal Cancer: A Propensity Score Matching Study.

Authors:  Anshu Li; Zhiyong Wang; Qing Lv; Yan Ling
Journal:  J Oncol       Date:  2022-05-26       Impact factor: 4.501

  1 in total

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