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Traditional Chinese medicine on treating pain caused by prostate cancer A systematic review and meta-analysis

期刊

MEDICINE
卷 98, 期 44, 页码 -

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MD.0000000000017624

关键词

pain; prostate cancer; protocol; systematic review; traditional Chinese medicine

资金

  1. 2016 Being Chinese Medicine Salary Heritage 3+3 Project [2016-SZ-C-60]
  2. Young Scientist Development Program 2016, Dongzhimen Hospital Affiliated to Being University of Chinese Medicine [DZMYS-201609]

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Introduction: Prostate cancer is a male malignant tumor disease with high prevalence in recent years. Patients with advanced prostate cancer are more likely to have bone metastasis and have strong bone pain, and even lead to pathological fracture, which has a serious impact on the quality of life of patients. Traditional Chinese medicine has good clinical efficacy in treating pain caused by prostate cancer. This review hopes to adopt meta-analysis to evaluate the efficacy and safety of TCM in the treatment of pain caused by prostate cancer and provide evidence for its application in clinical practice. Methods and analysis: We will search for PubMed, Cochrane Library, AMED, EMbase, WorldSciNet; Nature, Science online and China Journal Full-text Database (CNKI), China Biomedical Literature CD-ROM Database (CBM), and related randomized controlled trials included in the China Resources Database. The time is limited from the construction of the library to June 2019. We will use the criteria provided by Cochrane 5.1.0 for quality assessment and risk assessment of the included studies, and use the Revman 5.3 and Stata 13.0 software for meta-analysis of the effectiveness, recurrence rate, and symptom scores of pain caused by prostate cancer. Ethics and dissemination: This systematic review will evaluate the efficacy and safety of TCM for pain caused by prostate cancer. Because all of the data used in this systematic review and meta-analysis has been published, this review does not require ethical approval. Furthermore, all data will be analyzed anonymously during the review process Trial.

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