Literature DB >> 27664559

Nomogram for 5-year relapse-free survival of a patient with advanced gastric cancer after surgery.

Yusuke Muneoka1, Kohei Akazawa2, Takashi Ishikawa3, Hiroshi Ichikawa4, Atsushi Nashimoto5, Hiroshi Yabusaki6, Norio Tanaka7, Shin-Ichi Kosugi8, Toshifumi Wakai4.   

Abstract

BACKGROUND: Prognoses vary substantially among patients with advanced gastric cancer following curative surgery. The aim of the current study was to develop and verify the validity of a novel nomogram that predicts the probability of 5-year relapse-free survival (RFS) in patients who underwent curative resection for stage II/III gastric cancer.
MATERIALS AND METHODS: A nomogram to predict 5-year RFS following surgical resection of gastric cancer was constructed based on the data of patients who underwent surgery for primary gastric carcinoma at three institutions in Japan in January 2001-December 2006. Multivariate analysis using a Cox proportional hazards regression model was performed, and the nomogram's predictive accuracy (discrimination) and the agreement between observed outcomes and predictions (calibration) were evaluated by internal validation.
RESULTS: Multivariate analyses revealed that age at operation, depth of tumor, tumor location, lymph node classification, and presence of combined resection were significant prognostic factors for RFS. In the internal validation, discrimination of the developed nomogram for 5-year RFS was superior to that of the American Joint Committee on Cancer TNM classification (concordance indices of 0.80 versus 0.67; P < 0.001). Moreover, calibration appeared to be accurate. Based on these results, we have created free software to more easily predict 5-year RFS.
CONCLUSION: We developed and validated a nomogram to predict 5-year RFS after curative surgery for stage II/III gastric cancer. This tool will be useful for the assessing a patient's individual recurrence risk when considering additional therapy in clinical practice.
Copyright © 2016 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Advanced gastric cancer; Cox proportional hazards regression model; Nomogram; Prediction; Recurrence risk

Mesh:

Year:  2016        PMID: 27664559     DOI: 10.1016/j.ijsu.2016.09.080

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  14 in total

1.  Prognosis of elderly gastric cancer patients after surgery: a nomogram to predict survival.

Authors:  Michela Roberto; Andrea Botticelli; Lidia Strigari; Michele Ghidini; Concetta Elisa Onesti; Margherita Ratti; Ilaria Benzoni; Claudio Pizzo; Rosa Falcone; Daniele Lomiento; Bianca Maria Donida; Luigi Totaro; Federica Mazzuca; Paolo Marchetti
Journal:  Med Oncol       Date:  2018-06-19       Impact factor: 3.064

Review 2.  Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis.

Authors:  H G van den Boorn; E G Engelhardt; J van Kleef; M A G Sprangers; M G H van Oijen; A Abu-Hanna; A H Zwinderman; V M H Coupé; H W M van Laarhoven
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

3.  Construction of a nomogram for the prediction of prognosis in patients with resectable gastric cancer undergoing fewer than sixteen lymph node biopsies.

Authors:  Zhe Li; Hong Cen
Journal:  Onco Targets Ther       Date:  2019-09-11       Impact factor: 4.147

4.  Development and external validation of a prognostic nomogram for patients with gastric cancer after radical gastrectomy.

Authors:  Xi'e Hu; Zhenyu Yang; Songhao Chen; Jingyi Xue; Sensen Duan; Lin Yang; Ping Yang; Shujia Peng; Yanming Dong; Lijuan Yuan; Xianli He; Guoqiang Bao
Journal:  Ann Transl Med       Date:  2021-12

5.  A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma.

Authors:  Qinping Guo; Yinquan Wang; Jie An; Siben Wang; Xiushan Dong; Haoliang Zhao
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

6.  Development and Validation of a Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric Cancer.

Authors:  Shu-Qiang Yuan; Wen-Jing Wu; Miao-Zhen Qiu; Zi-Xian Wang; Lu-Ping Yang; Ying Jin; Jing-Ping Yun; Yuan-Hong Gao; Yu-Hong Li; Zhi-Wei Zhou; Feng Wang; Rui-Hua Xu
Journal:  J Cancer       Date:  2017-09-29       Impact factor: 4.207

7.  Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy.

Authors:  Chao-Yang Wang; Jin Yang; Hao Zi; Zhong-Li Zheng; Bing-Hui Li; Yang Wang; Zheng Ge; Guang-Xu Jian; Jun Lyu; Xiao-Dong Li; Xue-Qun Ren
Journal:  BMC Cancer       Date:  2020-01-06       Impact factor: 4.430

8.  Development and External Validation of a Nomogram to Predict Recurrence-Free Survival After R0 Resection for Stage II/III Gastric Cancer: An International Multicenter Study.

Authors:  Jun Lu; Bin-Bin Xu; Chao-Hui Zheng; Ping Li; Jian-Wei Xie; Jia-Bin Wang; Jian-Xian Lin; Qi-Yue Chen; Mark J Truty; Chang-Ming Huang
Journal:  Front Oncol       Date:  2020-10-22       Impact factor: 6.244

9.  Establishment and Validation of a Nomogram Based on Negative Lymph Nodes to Predict Survival in Postoperative Patients with non-Small Cell Lung Cancer.

Authors:  Xinyi Huang; Pingping Hu; Fei Yan; Jiandong Zhang
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

10.  Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database.

Authors:  Jia Gu; Zhifan Zuo; Lei Sun; Li Li; Ning Zhao
Journal:  Ann Transl Med       Date:  2020-04
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