Traditional Chinese Medicine for Bladder Cancer: a Systematic Review and Meta-Analysis

Journal Title: Medical Data Mining - Year 2018, Vol 1, Issue 2

Abstract

Objective: To evaluate the efficacy and safety of traditional Chinese medicine in the treatment of bladder cancer. Methods: The databases of CNKI (1989-2018.10), Wan fang Data (1989-2018.10), VIP (1989-2018.10), PubMed (1966-2018.10), EMbase (1986- 2018.10) and Cochrane Library (3rd issue, 2018) were searched. Evidence quality and rating recommendations were scored using the GRADE system. Results: Thirty-six eligible studies were included with 3,109 patients. The meta-analysis showed that the total effective rate OR combination =2.85[OR=2.85,95% CI(1.98,4.09), P<0.00001].Recurrence OR merge = 0.33 [OR=0.33, 95% CI (0.26,0.42), P<0.00001];Adverse reaction rate OR combination =0.37[OR=0.37, 95%CI(0.32,0.43), P<0.00001];Incidence of adverse reactions OR combination =0.41[OR=0.41, 95%CI(0.30,0.55), P<0.00001];Survival rate OR combination =1.78[OR=1.78, 95%CI(0.55, 5.77), P=0.34];Quality of life improvement rate OR consolidation =12.42[OR=12.42 95%CI(3.21,48.11), P=0.0003].The GRADE system evaluation results show that the evidence level is B and the recommendation level is weak. The traditional Chinese medicine group was superior to the control group in the efficiency rate, postoperative recurrence rate, incidence rate of adverse reactions, survival rate, quality of life improvement rate and incidence rate of toxic and side effects in the treatment of bladder cancer. Conclusion: Traditional Chinese Medicine has a good effect on treating bladder cancer and controlling recurrence of bladder cancer. Due to the impact of the original study on the results of meta-analysis, larger sample and high-quality clinical trials are still needed to verify.

Authors and Affiliations

Li-Hui Zhang1, Yao Yang1, Ying Chen1, Guo-Wei Zhang1*

Keywords

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  • EP ID EP710372
  • DOI -
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How To Cite

Li-Hui Zhang1, Yao Yang1, Ying Chen1, Guo-Wei Zhang1* (2018). Traditional Chinese Medicine for Bladder Cancer: a Systematic Review and Meta-Analysis. Medical Data Mining, 1(2), -. https://europub.co.uk/articles/-A-710372