인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The aim of this study was to collect and analyze the clinical studies of traditional herbal medicine and acupuncture treatments for colorectal cancer patients searched in Pubmed and Cochrane library in English. We collected the clinical studies, including randomized controlled trial, case control study and cohort study, in the PubMed and Cochrane library using keywords ‘Colorectal Cancer’, ‘Korean Medicine’, ‘Traditional Chinese Medicine’, ‘Kampo’ and ‘Acupuncture’. Then we analyzed them according to the objective of the therapy, i.e. improving therapy prognosis, reducing chemotherapy’s adverse event and reducing operational adverse event. In case RCT, we evaluate the quality of the study with jadad scale. Total 18 studies were selected. There were 3 studies about improving therapy prognosis, 6 studies about reducing chemotherapy’s adverse event and 9 studies about reducing operational adverse event. Traditional medicine might improve therapy prognosis in terms of the survival rate, relapse/metastasis rate, quality of life and immune function. The specific herbal formula, ‘Goshajinkigan’ might not be successful about reducing chemotherapy’s adverse event, peripheral neurotoxicity. ‘Hangeshanshinto’ might reduce the duration of oral mucositis but it is not clear to reduce the incidence of that. ‘PHY906’ might reduce the incidence of diarrhea. Acupuncture might reduce operational adverse event such as gastrointestinal dysfunction and pain. And ‘Daikenchuto’ might not be successful in reducing operational adverse event, gastrointestinal dysfunction. Further studies are needed to clarify the efficacy of traditional herbal medicine and acupuncture for colorectal cancer patients.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-519-000983607
