首页> 外文期刊>世界中西医结合杂志(英文) >Thought and Method on Establishing the Prediction Model of TCM Dominant Population with Advanced Digestive Tract Malignant Tumors based on TCM Tumor Registration Platform
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Thought and Method on Establishing the Prediction Model of TCM Dominant Population with Advanced Digestive Tract Malignant Tumors based on TCM Tumor Registration Platform

机译:用先进的消化道建立中医占优势群预测模型的思路与方法基于TCM肿瘤登记平台的恶性肿瘤

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摘要

Advanced digestive tract malignant tumors,represented by advanced colorectal cancer,advanced gastric cancer and advanced esophageal cancer,have insidious onsets and high mortality.Western medicine based on targeted therapy greatly can improves the benefit and efficacy for patients through population stratification,but its population is limited.Traditional Chinese medicine(TCM)has a long history in treatment of tumors,which is an important part of comprehensive treatment of tumors.Clinical observation has shown that different patients could get different efficacy from TCM treatment.Based on real world registration studies,patients with advanced colorectal cancer,advanced gastric cancer or advanced esophageal cancer who had received TCM treatment were observed and followed,and a TCM dominant population that achieved significant efficacy was screened out to carry out multivariate regression analysis,further explore key factors that affect survival in advanced digestive tract malignant tumors,and establish a prediction model of TCM dominant population.It will provide reference for the follow-up TCM treatment,and provide reference for development of individualized treatment plans,making the TCM treatment for advanced digestive tract malignant tumors more targeted,and helping to improve the benefit rate in TCM.

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  • 来源
    《世界中西医结合杂志(英文)》 |2020年第008期|7-15|共9页
  • 作者单位

    Graduate School of Beijing University of Chinese Medicine Beijing 100029 China;

    Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing 100091 China;

    Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing 100091 China;

    Cancer Hospital Chinese Academy of Medical Sciences Beijing 100021 China;

    Dongzhimen Hospital Beijing University of Chinese Medicine Beijing 100700 China;

    School of Statistics Renmin University of China Beijing 100872 China;

    Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing 100091 China;

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  • 正文语种 eng
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  • 入库时间 2022-08-19 04:55:46
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