Literature DB >> 35241553

The Clinical Influence of the CONUT Score on Survival of Patients With Gastric Cancer Receiving Curative Treatment.

Toru Aoyama1,2, Keisuke Komori3,2, Masato Nakazano3,2, Kentaro Hara3,2, Hiroshi Tamagawa3, Keisuke Kazama3, Itaru Hashimoto3,2, Takanobu Yamada3,2, Yukio Maezawa3,2, Kenki Segami3,2, Kazuki Kano3, Shinsuke Nagasawa3,2, Norio Yukawa3, Yasushi Rino3, Takashi Ogata2, Takashi Oshima3,2.   

Abstract

BACKGROUND: We investigated the influence of the preoperative Controlling Nutritional Status (CONUT) score on survival and recurrence of gastric cancer in patients after curative treatment. PATIENTS AND METHODS: This study included 331 patients who underwent curative surgery followed by adjuvant treatment for gastric cancer between 2013 and 2017. The risk factors for overall survival (OS) and recurrence-free survival (RFS) were identified.
RESULTS: Based on the 1-, 3- and 5-year survival rates, a CONUT score of 2 was regarded as the optimal cut-off value for classification. The 3- and 5-year OS rates were 93.6% and 88.6%, respectively in the low-CONUT group, and 82.7% and 73.6% in high-CONUT group (p=0.022). The 3- and 5-year RFS rates were 78.8% and 68.7%, respectively, in the low-CONUT group, and 89.3% and 86.6%, respectively, in the high-CONUT group (p=0.05). A multivariate analysis showed that the CONUT score was a significant independent predictive factor for OS and RFS.
CONCLUSION: The CONUT score was a predictive factor for survival in patients who underwent curative treatment for gastric cancer. It is necessary to develop an effective plan for perioperative care and surgical strategy according to the CONUT score.
Copyright © 2022, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  CONUT score; Gastric cancer; survival

Mesh:

Year:  2022        PMID: 35241553      PMCID: PMC8931873          DOI: 10.21873/invivo.12784

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


  26 in total

1.  CONUT: a tool for controlling nutritional status. First validation in a hospital population.

Authors:  J Ignacio de Ulíbarri; A González-Madroño; N G P de Villar; P González; B González; A Mancha; F Rodríguez; G Fernández
Journal:  Nutr Hosp       Date:  2005 Jan-Feb       Impact factor: 1.057

Review 2.  Perioperative body composition changes in the multimodal treatment of gastrointestinal cancer.

Authors:  Toru Aoyama
Journal:  Surg Today       Date:  2019-04-26       Impact factor: 2.549

Review 3.  Inflammation and cancer: back to Virchow?

Authors:  F Balkwill; A Mantovani
Journal:  Lancet       Date:  2001-02-17       Impact factor: 79.321

Review 4.  Clinical Impact of Perioperative Oral Nutritional Treatment for Body Composition Changes in Gastrointestinal Cancer Treatment.

Authors:  Toru Aoyama; Masato Nakazono; Shinnosuke Nagasawa; Kenki Segami
Journal:  Anticancer Res       Date:  2021-04       Impact factor: 2.480

5.  Loss of Lean Body Mass as an Independent Risk Factor for Continuation of S-1 Adjuvant Chemotherapy for Gastric Cancer.

Authors:  Toru Aoyama; Taiichi Kawabe; Hirohito Fujikawa; Tsutomu Hayashi; Takanobu Yamada; Kazuhito Tsuchida; Norio Yukawa; Takashi Oshima; Yasushi Rino; Munetaka Masuda; Takashi Ogata; Haruhiko Cho; Takaki Yoshikawa
Journal:  Ann Surg Oncol       Date:  2014-12-17       Impact factor: 5.344

6.  Gastric Cancer, Version 3.2016, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Jaffer A Ajani; Thomas A D'Amico; Khaldoun Almhanna; David J Bentrem; Joseph Chao; Prajnan Das; Crystal S Denlinger; Paul Fanta; Farhood Farjah; Charles S Fuchs; Hans Gerdes; Michael Gibson; Robert E Glasgow; James A Hayman; Steven Hochwald; Wayne L Hofstetter; David H Ilson; Dawn Jaroszewski; Kimberly L Johung; Rajesh N Keswani; Lawrence R Kleinberg; W Michael Korn; Stephen Leong; Catherine Linn; A Craig Lockhart; Quan P Ly; Mary F Mulcahy; Mark B Orringer; Kyle A Perry; George A Poultsides; Walter J Scott; Vivian E Strong; Mary Kay Washington; Benny Weksler; Christopher G Willett; Cameron D Wright; Debra Zelman; Nicole McMillian; Hema Sundar
Journal:  J Natl Compr Canc Netw       Date:  2016-10       Impact factor: 11.908

7.  Patient-generated subjective global assessment versus nutritional risk screening 2002 for gastric cancer in Chinese patients.

Authors:  Dong Yang; Zhichao Zheng; Yan Zhao; Tao Zhang; Yong Liu; Xing Xu
Journal:  Future Oncol       Date:  2019-12-03       Impact factor: 3.404

8.  Preoperative Nutritional Assessment by Controlling Nutritional Status (CONUT) is Useful to estimate Postoperative Morbidity After Esophagectomy for Esophageal Cancer.

Authors:  Naoya Yoshida; Yoshifumi Baba; Hironobu Shigaki; Kazuto Harada; Masaaki Iwatsuki; Junji Kurashige; Yasuo Sakamoto; Yuji Miyamoto; Takatsugu Ishimoto; Keisuke Kosumi; Ryuma Tokunaga; Yu Imamura; Satoshi Ida; Yukiharu Hiyoshi; Masayuki Watanabe; Hideo Baba
Journal:  World J Surg       Date:  2016-08       Impact factor: 3.352

9.  The pretreatment Controlling Nutritional Status (CONUT) score is an independent prognostic factor in patients with resectable thoracic esophageal squamous cell carcinoma: results from a retrospective study.

Authors:  Takahiro Toyokawa; Naoshi Kubo; Tatsuro Tamura; Katsunobu Sakurai; Ryosuke Amano; Hiroaki Tanaka; Kazuya Muguruma; Masakazu Yashiro; Kosei Hirakawa; Masaichi Ohira
Journal:  BMC Cancer       Date:  2016-09-06       Impact factor: 4.430

10.  Prognostic Importance of Controlling Nutritional Status in Patients Undergoing Curative Thoracoscopic Esophagectomy for Esophageal Cancer.

Authors:  Noriyuki Hirahara; Takeshi Matsubara; Hikota Hayashi; Kiyoe Takai; Soichi Nakada; Yoshitsugu Tajima
Journal:  Am J Ther       Date:  2018 Sep/Oct       Impact factor: 2.688

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