The Chinese Society of Clinical Oncology (CSCO): clinical guidelines for the diagnosis and treatment of gastric cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Feng-Hua Wang, Lin Shen, Jin Li, Zhi-Wei Zhou, Han Liang, Xiao-Tian Zhang, Lei Tang, Yan Xin, Jing Jin, Yu-Jing Zhang, Xiang-Lin Yuan, Tian-Shu Liu, Guo-Xin Li, Qi Wu, Hui-Mian Xu, Jia-Fu Ji, Yuan-Fang Li, Xin Wang, Shan Yu, Hao Liu, Wen-Long Guan, Rui-Hua Xu

ABSTRACT

China is one of the countries with the highest incidence of gastric cancer. There are differences in epidemiological characteristics, clinicopathological features, tumor biological characteristics, treatment patterns, and drug selection between gastric cancer patients from the Eastern and Western countries. Non-Chinese guidelines cannot specifically reflect the diagnosis and treatment characteristics for the Chinese gastric cancer patients. The Chinese Society of Clinical Oncology (CSCO) arranged for a panel of senior experts specializing in all sub-specialties of gastric cancer to compile, discuss, and revise the guidelines on the diagnosis and treatment of gastric cancer based on the findings of evidence-based medicine in China and abroad. By referring to the opinions of industry experts, taking into account of regional differences, giving full consideration to the accessibility of diagnosis and treatment resources, these experts have conducted experts' consensus judgement on relevant evidence and made various grades of recommendations for the clinical diagnosis and treatment of gastric cancer to reflect the value of cancer treatment and meeting health economic indexes. This guideline uses tables and is complemented by explanatory and descriptive notes covering the diagnosis, comprehensive treatment, and follow-up visits for gastric cancer. More... »

PAGES

10

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40880-019-0349-9

    DOI

    http://dx.doi.org/10.1186/s40880-019-0349-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112851031

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30885279


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