[Exploration and example interpretation of real-world herbal prescription classification based on similarity matching algorithm].

In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.

Treatment options of traditional Chinese patent medicines for dyslipidemia in patients with prediabetes: A systematic review and network meta-analysis.

Objective: To compare the clinical efficacy and safety of SIX Traditional Chinese Patent Medicines (TCPM) recommended by guidelines in improving lipids for patients with prediabetes by network meta-analysis. Methods: Randomized controlled trials of 6 TCPM in the treatment of prediabetes were searched systematically in various databases. After extracting effective data, the risk of bias was assessed using Review Manager 5.3 and Cochrane Collaboration Systems Evaluator's Manual. Network meta-analysis was performed using STATA 15.0 based on the frequency statistical model. The effect size and credibility of the evidence for the intervention were summarized based on a minimal contextualized framework. Results: A total of 27 studies involving 2,227 patients were included. Compared with lifestyle modification (LM), Shenqi + LM [SMD -0.49 (95% CI: -0.85, -0.12)] and Jinqi + LM [SMD -0.44 (95% CI: -0.81, -0.06)] showed statistically significant effect in lowering TG, Shenqi + LM [SMD -0.51 (95%CI: -0.86, -0.17)] and Jinqi + LM [SMD -0.44 (95%CI: -0.80, -0.08)] in lowering TC, Jinlida + LM [SMD -0.31 (95%CI: -0.59, -0.04)] in lowering LDL-C, Shenqi + LM [SMD 0.29 (95%CI: 0.06, 0.51)] and Jinqi + LM [SMD 0.16 (95%CI: 0.01, 0.31)] in increasing HDL-C. Conclusion: For patients with prediabetes, Traditional Chinese patent medicine Jinqi and Shenqi combined with lifestyle modification were associated with a significant reduction in TG and TC, while Shenqi + LM was among the most effective. Jinlida + LM was among the least effective. Systematic Review Registration: https://clinicaltrials.gov/, identifier PROSPERO(CRD42021279332).

Comparative efficacy of 6 traditional Chinese patent medicines combined with lifestyle modification in patients with prediabetes: A network meta-analysis.

OBJECTIVE: To evaluate the efficacy of 6 Traditional Chinese patent medicines combined with lifestyle modification in the treatment of prediabetes with network meta-analysis. METHOD: The randomized controlled trials (RCTs) of Shen qi jiang tang capsule/granule (Shenqi), Tian mai xiao ke tablet (Tianmai), Tian qi capsule (Tianqi), Jin qi jiang tang tablet (Jinqi), Jin li da granule (Jinlida), Tang mai kang granule (Tangmaikang) in the treatment of prediabetes in PubMed, Web of Science, The Cochrane Library, EMbase, China Knowledge Network (CNKI), WanFang and Weipu databases were searched. Three reviewers independently conducted the screening, extracted the data and assessed methodological quality. Data analysis was performed using Rev Man 5.3 and STATA 15.0 software. RESULTS: A total of 50 RCTs, including 4594 patients, were included. The addition of Shenqi (OR 0.19 [95 %CI: 0.07, 0.52]) and Jinqi (OR 0.32 [95 %CI: 0.15, 0.71]) to existing lifestyle modification resulted in significant lower incidence rate of DM compared with none/placebo added to lifestyle modification. The addition of Jinlida (SMD -0.41% [95 %CI:-0.81, -0.01]) and Tangmaikang (SMD -0.83%[95 %CI: -1.46,-0.20]) resulted in significant additional HbA1c reductions compared with none/placebo added to lifestyle modification. The addition of all CTPMs except Tianqi resulted in significant additional FBG reductions and the addition of Shenqi (SMD -1.96[95 %CI: -3.64, -0.28]) resulted in significant additional PBG reductions. CONCLUSION: For patients with prediabetes, Shenqi + LM was among the most effective in reducing the incidence of diabetes for patients with prediabetes, while Jinlida + LM was among the least effective. Jinqi + LM and Tianqi + LM might be among the most effective, while western oral drugs + LM, Tianmai + LM, Tangmaikang + LM and Placebo + LM might be among the least effective. In addition, Tangmaikang + LM and Jinlida + LM might be among the most effective in reducing HbA1c, while Tianmai + LM, Tangmaikang + LM, Shenqi + LM, Jinlida + LM and Jinqi + LM might be among the most effective in reducing FPG for patients with prediabetes. Yet direct comparison and further investigation to explore mechanisms are warranted.

Effect of RG (Coptis root and ginseng) formula in patients with type 2 diabetes mellitus: a study protocol for a randomized controlled and double-blinding trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a common metabolic disease with significant health, social, and economic consequences. Traditional Chinese medicine (TCM) could effectively regulate blood sugar and influence gut microbiota in T2DM patients. Preliminary studies showed that the Coptis root and ginseng (RG) formula could relieve insulin resistance and prevent the progression of diabetes in mice. OBJECTIVES: The purpose of this study is to explore the efficacy and safety of RG formula in the treatment of adult patients with T2DM, as well as observing its effects on gut microbiota. METHODS AND ANALYSIS: This trial is a randomized, double-blind, placebo-controlled study. A total of 60 participants will be randomized in a 1:1 ratio into an experiment group (RG formula) and a control group (placebo). Patients in both groups will be given diabetes education and basic blood glucose control. Glucose-lowering drugs with significant influence on gut microbiota will be avoided. This trial will last 25 weeks including 1-week run-in, 12-week intervention, and 12-week follow-up visit. The primary outcome is the change in the HbA1c. The secondary outcomes comprise the change in the fasting blood glucose (FBG), postprandial blood glucose (PBG), fasting insulin (FIL), fasting C-peptide(C-P), insulin resistance index (IRI), inflammatory factors, and species abundance of gut microbiota between the two groups. Safety of medication will also be evaluated. The correlation analysis will be explored between the glycemic indicators, inflammatory factors, and abundance of gut microbiota. DISCUSSION: This study will provide the clinical evidence for the efficacy of RG formula in regulating blood sugar and influencing gut microbiota, which will be beneficial to form the integrated therapeutic regimen in T2DM with TCM. TRIAL REGISTRATION: "Clinical Study on the Intervention of Coptis Root and Ginseng," Chinese Clinical Trials Registry ChiCTR 2100042126 . Registered on 14 January 2021.

Qingre Yiqi Method along with Oral Hypoglycemic Drugs in Treating Adults with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

OBJECTIVE: To evaluate the efficacy of the Qingre Yiqi method in the treatment of type 2 diabetes mellitus (T2DM) with meta-analysis. METHOD: The randomized controlled trials (RCTs) of the Qingre Yiqi method in the treatment of T2DM in the PubMed, Medline, EMBase, Cochrane Library, Web of Science, Weipu Journal, China Knowledge Network (CNKI), and Wanfang database were conducted. Three reviewers independently conducted the screening, extracted the data, and assessed methodological quality. Data analysis was performed using Rev Man 5.3 software for statistical analysis. RESULTS: A total of 15 RCTs, including 1440 patients, were included. The results showed that compared with oral hypoglycemic drugs alone, the add-on treatment of the Qingre Yiqi method could significantly improve Chinese medicine syndrome (OR (95%CI) = 3.66 [2.47,5.42], P < 0.00001) and lower the level of HbA1c (MD (95%CI) = -0.68 [0.91, -0.45], P < 0.00001), triglyceride (TG) (MD (95%CI) = -0.38 [-0.58,-0.17], P=0.0004), low-density lipoprotein cholesterol (LDL-C) (MD (95%CI) = -0.25 [-0.37, -0.13], P < 0.0001), and total cholesterol(TC) (MD(95%CI) = -0.40[-0.67, -0.13], P=0.003). In terms of fasting blood glucose (FBG) and postprandial blood sugar (PBG), subgroup analysis showed that the baseline of FBG and the number of combined oral hypoglycemic drugs of PBG were the major sources of heterogeneity. CONCLUSION: Compared with the standard treatment, the Qingre Yiqi method along with oral hypoglycemic drugs showed the more beneficial effects for T2DM on improving TCM syndromes and reducing the blood glucose and partial lipid parameter.