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1.
Journal of Integrative Medicine ; (12): 478-491, 2020.
Article in English | WPRIM | ID: wpr-880980

ABSTRACT

BACKGROUND@#Zhibai Dihuang pill (ZBDH), a Chinese herbal formula, has been widely used as an adjunctive therapy to help reduce the patient's steroid dose and maintain low disease activity in systemic lupus erythematosus (SLE).@*OBJECTIVE@#This systematic review evaluates the therapeutic effect of modified ZBDH in reducing steroid use in patients with SLE.@*SEARCH STRATEGY@#A systematic literature search was carried out using seven databases, including PubMed, Embase, Cochrane Central Register of Controlled Trials, Chinese Biomedical Literature Database, Chinese National Knowledge Infrastructure, Chinese VIP Information and Wanfang Database, from their inception to June 1st, 2019. The search terms included "systemic lupus erythematosus," "Chinese medicine" and "clinical trial," and their synonyms. Subject headings matching the above terms were also used.@*INCLUSION CRITERIA@#This meta-analysis included randomized controlled trials that evaluated the reduction of steroid dose in patients with SLE. Traditional Chinese medicine (TCM) formulas in experimental group should be prescribed based on ZBDH and used as adjunctive therapy and the comparator should contain steroids.@*DATA EXTRACTION AND ANALYSIS@#Two authors independently conducted database search, study selection, data extraction and quality assessment. The extracted information contained study design, sample size, recruitment mode, diagnostic criteria, inclusion and exclusion criteria, participant characteristics, TCM patterns, TCM formulas and treatment outcomes. The primary outcome was the change of steroid dose. Secondary outcomes included SLE Disease Activity Index (SLEDAI), biomarkers of disease activity and clinical response rate. STATA 15.0 was used to analyze the pooled effects reported as weighted mean difference (WMD) or odds ratio, with a 95% confidence interval (CI).@*RESULTS@#In total, 20 trials involving 1470 SLE patients were included. The pooled result showed that modified ZBDH taken in combination with standard care led to a larger reduction in steroid dose, compared to standard care alone (WMD: 3.79; 95% CI: 2.58-5.01; P < 0.001). Favorable outcomes were also seen in secondary outcome criteria, such as SLEDAI and complement 3. The modified ZBDH treatments were well tolerated without increasing adverse effects.@*CONCLUSION@#The systematic review provided preliminary evidence supporting the use of ZBDH as a co-therapy to aid steroid dose reduction in patients with SLE. However, more rigorous studies should be conducted to validate these findings, and explore the mechanisms of ZBDH's relevant bioactive constituents.

2.
China Journal of Chinese Materia Medica ; (24): 3323-3328, 2012.
Article in Chinese | WPRIM | ID: wpr-308592

ABSTRACT

<p><b>OBJECTIVE</b>To study the feasibility of applying the Bron-Kerbosch (BK) algorithm on the discovery of basic formulas (BFs) of traditional Chinese medicine.</p><p><b>METHOD</b>This essay introduces the BK algorithm for the discovery of BFs of traditional Chinese medicine and relevant indicators. On the basis of the compatibility network of drugs, with the confidence coefficient of basic formulas anti the support degree to the decline of alpha level as indicators, the BK algorithm was used for the discovery of BFs of traditional Chinese medicine. And prescriptions of Professor Ma Shaoyao, a traditional Chinese medicine (TCM) dermatologist of Longhua hospital, were taken as examples for analysis.</p><p><b>RESULT</b>After the parameters were optimized, three BFs for psoriasis and four BFs for eczema were found using the BK algorithm, which had a relatively high confidence coefficient and basically conformed to the clinical practices.</p><p><b>CONCLUSION</b>The BK algorithm can be used for the discovery of basic formulas (BF) of traditional Chinese medicine, and therefore it is one of the effective methods to study and summarize the diagnosis and treatment experiences and prescription thoughts of famous and experienced TCM doctors.</p>


Subject(s)
Algorithms , Chemistry, Pharmaceutical , Medicine, Chinese Traditional
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