Nomogram predicting the cancer-specific survival of early-onset colorectal cancer patients with synchronous liver metastasis: a population-based study

被引：0
|
作者：
Xueliang Ding
Xiaodong Yang
Dafu Wu
Yaguang Huang
Yanwen Dai
Jiajing Li
Weilong Chang
Mozhen Chi
Shaobo Tian
机构：
[1] Affiliated Renhe Hospital of China Three Gorges University,Department of Clinical Laboratory
[2] The First Affiliated Hospital of Zhengzhou University,Department of Pathology
[3] The First Affiliated Hospital of Zhengzhou University,Department of Gastrointestinal Surgery
[4] Affiliated Renhe Hospital of China Three Gorges University,Department of Scientific Research
[5] Union Hospital,Department of Gastrointestinal Surgery
[6] Tongji Medical College,undefined
[7] Huazhong University of Science and Technology,undefined
来源：
International Journal of Colorectal Disease | 2022年 / 37卷
关键词：
Early-onset colorectal cancer; Liver metastasis; Prognostic factor; Nomogram; SEER;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1309 / 1319
页数：10
相关论文
共 50 条
  • [31] Development and external validation of a nomogram for predicting the effect of tumor size on cancer-specific survival of resected gallbladder cancer: a population-based study
    Zhang, Yaodong
    Zhou, Tao
    Han, Sheng
    Chang, Jiang
    Jiang, Wangjie
    Wang, Ziyi
    Li, Changxian
    Li, Xiangcheng
    INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY, 2021, 26 (06) : 1120 - 1129
  • [32] Development and external validation of a nomogram for predicting the effect of tumor size on cancer-specific survival of resected gallbladder cancer: a population-based study
    Yaodong Zhang
    Tao Zhou
    Sheng Han
    Jiang Chang
    Wangjie Jiang
    Ziyi Wang
    Changxian Li
    Xiangcheng Li
    International Journal of Clinical Oncology, 2021, 26 : 1120 - 1129
  • [33] A Novel Nomogram for the Prediction and Evaluation of Prognosis in Patients with Early-onset Kidney Cancer: a Population-based Study
    Lv, Dingyang
    Wang, Qiwei
    Sun, Ke
    Li, Jinshuai
    Zhou, Huiyu
    Wen, Jie
    Shuang, Weibing
    JOURNAL OF CANCER, 2025, 16 (04): : 1189 - 1201
  • [34] Nomogram for predicting overall survival of patients with bladder cancer: A population-based study
    Wang, Jiawu
    Wu, Yan
    He, Weiyang
    Yang, Bo
    Gou, Xin
    INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS, 2020, 35 (02) : 29 - 39
  • [35] Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study
    Yang, Si-si
    Zhong, Xiao-huan
    Wang, Hui-xin
    Min, An-jie
    Wang, Wei-ming
    CURRENT MEDICAL SCIENCE, 2021, 41 (05) : 953 - 960
  • [36] Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study
    Si-si Yang
    Xiao-huan Zhong
    Hui-xin Wang
    An-jie Min
    Wei-ming Wang
    Current Medical Science, 2021, 41 : 953 - 960
  • [37] Treatment patterns and survival outcomes of early-onset colorectal cancer patients in Alberta, Canada: a population-based study
    O'Sullivan, Dylan E.
    Cheung, Winson Y.
    Boyne, Devon J.
    Jarada, Tamer N.
    Tang, Patricia A.
    Gill, Sharlene
    Hilsden, Robert J.
    Brenner, Darren R.
    CANCER TREATMENT AND RESEARCH COMMUNICATIONS, 2022, 32
  • [38] A Clinical Nomogram for Predicting Cancer-Specific Survival in Pulmonary Large-Cell Neuroendocrine Carcinoma Patients: A Population-Based Study
    Ma, Haochuan
    Xu, Zhiyong
    Zhou, Rui
    Liu, Yihong
    Zhu, Yanjuan
    Chang, Xuesong
    Chen, Yadong
    Zhang, Haibo
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 14 : 7299 - 7310
  • [39] Nomogram for predicting distant metastasis of male breast cancer: A SEER population-based study
    Wang, Dasong
    Yang, Lei
    Yang, Yan
    Chen, Maoshan
    Yang, Hongwei
    MEDICINE, 2022, 101 (39) : E30978
  • [40] A Novel Nomogram for Predicting Breast Cancer-specific Survival in Male Patients
    Zhou, Qianmei
    Zhang, Qingxue
    Zhao, Shuo
    Zhang, Yingying
    Wang, Qian
    Li, Jingruo
    AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS, 2022, 45 (10): : 427 - 437
12345