Zhipeng Hu
Maoyi Yang
Ya Liu
Sihan Peng- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
Background: Type 2 diabetes mellitus (T2DM) is a heterogeneous disease characterized by persistent hyperglycemia. Huang-Lian Jie-Du decoction (HLJDD) is a traditional Chinese medicine formula which is widely used in treating T2DM in China. A thorough understanding of current body of evidence is needed.
Objective: this study aims to summarize the clinical evidence of HLJDD for T2DM to provide an up-to-date and accurate understanding of this issue for research and clinical practice.
Methods: Six databases were searched from inception to June 27, 2020 without language and publication status restrictions and randomized controlled trials about HLJDD on T2DM were included. Two evaluators searched and screened citations independently. Risk of bias was assessed by 2019 version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB2). Risk ratio (RR) with 95% confidence interval (CI) was used as an effect measure for dichotomous outcomes and mean difference (MD) with 95% CI was used for continuous outcomes. Subgroup analyses and sensitivity analyses were carried out.
Results: Nine studies including 811 participants were included in this study. The overall risk of bias was high risk. Compared with metformin alone, combination treatment of HLJDD and metformin may result in a reduction in HbA1c, FBG, 2hPG, HOMA-IR and an improved lipid metabolism. Evidence comparing HLJDD and metformin or no intervention or placebo was insufficient. The quality of evidence was low.
Conclusions: Current evidence about HLJDD on T2DM is still uncertain and more high-quality studies are needed to firmly establish the clinical efficacy and safety of HLJJD.
Introduction
Type 2 diabetes mellitus (T2DM) is a heterogeneous disease characterized by persistent hyperglycemia as main symptom and insulin resistance as pathophysiological feature. In recent years, although some studies have shown a gradual slowdown of incidence, the prevalence of T2DM continues to rise (Magliano, et al., 2019). Currently, there are more than 425 million diabetic patients in the world, 90% of which are T2DM (Cho et al., 2018). China has the largest diabetic population in the world (Li et al., 2020). Chronic complications caused by T2DM have a significant impact on the health and quality of life of patients. T2DM also increases the incidence of emotional diseases (Katon et al., 2005). In addition, some studies have shown that this disease can also have a significant impact on employment, reproduction and some other issues (Tunceli et al., 2005). Despite the fact that we have now developed many hypoglycemic agents, they have not been effective in stopping the progression of T2DM. Currently, this disease has become one of the major causes of mortality worldwide (Saeedi et al., 2020). T2DM-related medical expenses caused a heavy burden on the medical system and have a serious impact on the social economy (Peters et al., 2017; American Diabetes Association 2018; Dall et al., 2019). Thus, management of T2DM is still a research hotspot.
In China, traditional Chinese medicine (TCM) is widely used as an adjunctive treatment for T2DM, with Huang-Lian Jie-Du decoction (HLJDD) being one of the representative formulas. HLJDD was first recorded in Emergency Formulas to Keep Up One’s Sleeve (Zhŏu Hòu Bèi Jí Fāng), consisting of four herbs: Coptis chinensis Franch. Ranunculaceae (huáng lián), Scutellaria baicalensis Georgi. Lamiaceae (huáng qín), Phellodendron chinense Schneid. Rutaceae (huáng băi) and Gardenia jasminoides Ellis. Rubiaceae (zhī zĭ). According to the basic theory of TCM, HLJDD can relieve T2DM by clearing heat and resolving toxins and thus can have a therapeutic effect on T2DM. The main active ingredients in this formula, which were measured by HPLC, include geniposide, berberine, palmatine, etc (YANG et al., 2019). These ingredients were found to be effective in treating T2DM through a variety of mechanisms (Gu et al., 2010; Zhang et al., 2010; Li et al., 2019a; Li et al., 2019b; Mi et al., 2019; Sun et al., 2020a; Sun et al., 2020b; Wu et al., 2020). A series of clinical studies have been carried out on the treatment of T2DM with HLJDD, and promising results have been obtained. However, due to the limitations in study design, these studies were unable to provide conclusive evidence for HLJDD in treating T2DM.
The aim of systematic review is to provide an accurate presentation of this issue. Since systematic review plays an increasingly important role in health care decisions, it is critical to ensure its accuracy. Regardless of the certainty of evidence, accurate presentation can provide reliable guidance for clinical decision making. In 2018, two systematic-reviews of HLJDD for T2DM were published, but they both had serious methodological flaws (CHEN et al., 2018; GUO 2019). Some other clinical trials were carried out after the publication of these two meta-analyses. Given this situation, this study systematically summarized and evaluated the clinical evidence in treating T2DM with HLJDD by using evidence-based medicine methods, aiming to provide an up-to-date and accurate presentation of this issue for research and clinical practice.
Methods
This study has been registered in advance on the website of Open Science Framework (OSF, https://osf.io/) with a registration number of DOI: 10.17605/OSF.IO/AJDU3. The registered website is: https://osf.io/ajdu3. In order to ensure the reliability of this research, we carried out this meta-analysis under the guidance of the latest Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019) and methodological expectations for conduct, reporting and updating of systematic reviews of intervention (MECIR).
Database and Search Strategies
Six databases including PubMed, embase, Cochrane Central Register of Controlled Trial (CENTRAL), China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform and VIP information resource integration service platform (cqvip) were searched from inception to June 27, 2020 without language and publication status restrictions. Search strategies that combined controlled vocabulary and text words were developed. ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (ICTRP) portal and Chinese Clinical Trial Registry (CHiCTR) were also searched to find out ongoing research. In addition, reference lists of reviews and meta-analyses were also searched. Detailed search strategies of bibliographic databases were provided in Supplementary Material S1.
Inclusion and Exclusion Criteria
Type of Studies
Randomized controlled trials (RCTs) were included. Observational studies were not included due to potential high risk of bias and confounding. Observational studies include non-randomized controlled trial, controlled before-and-after study, interrupted time series study, historically controlled study, cohort study, case-control study, cross-sectional study, case series (uncontrolled longitudinal study).
Type of Participants
Adults (≥18 years old) with an established diagnosis of T2DM were included. Ideally, the diagnostic criteria should be reported in papers. If a study did not report diagnostic criteria specifically, we excluded it as a sensitivity analysis to explore its impact on the results. There was no restriction on other demographic factors of participants and settings.
Type of Interventions
HLJDD at any mode, dose, duration, or frequency of delivery was included. The composition of HLJDD cannot be modified. Considering the diversity of scenarios in the clinical application of HLJDD, we included metformin or no treatment as control groups in this study. Treatment group can be HLJDD alone or combination therapy of HLJDD and metformin. Co-interventions, if administrated in intervention group, should be the same in control group.
Type of Comparisons
To ensure clinical homogeneity, data analyses and presentation of results were carried out strictly based on the following comparisons:
Combination of HLJDD and metformin vs. metformin alone.
HLJDD alone vs. metformin.
HLJDD alone vs. no treatment.
Type of Outcome Measures
Primary Outcome
Glycated hemoglobin (HbA1c).
Secondary Outcomes
Fasting blood glucose (FBG).
Two-hour Postprandial glucose (2hPG).
Homeostasis model assessment of insulin resistance (HOMA-IR).
Body mass index (BMI).
Blood lipid profile: High Density Liptein Cholesterol (HDL-C), Low-Density Lipoprotein Cholesterol (LDL-C), Total Cholesterol (TC), Triglyceride (TG).
Safety Outcome
Adverse events.
Data Collection and Analysis
Study Selection
Two evaluators screened citations independently by reading titles and abstracts. Full text of potentially qualified literature was obtained. Discrepancies were solved by consultation with a third author. If discrepancies still cannot be resolved after consultation, those articles would be classified as “Studies Awaiting Classification”. The list of studies excluded after reading full text and reason for exclusion were provided in Supplementary Material S2.
Data Extraction
A pre-specified template was constructed to collect the following data from studies: First author and year, Country, Study design, Diagnostic criteria, Age (treatment/control) (years), No. of Patients (treatment/control), female (treatment/control), Duration of T2DM (treatment/control) (year), Co-intervention, Treatment, Comparator, Run-in period, Duration of treatment, Follow-up, Funding, Baseline HbA1C (treatment/control) (%), Baseline BMI (treatment/control), Baseline FBG (mmol/L), Baseline 2hPG (mmol/L), Baseline HOMA-IR, Baseline TC (mmol/L), Baseline TG (mmol/L), Baseline HDL-C (mmol/L), Baseline LDL-C (mmol/L), HbA1C (treatment/control), BMI (treatment/control), post-intervention FBG (mmol/L), post-intervention 2hPG (mmol/L), HOMA-IR, post-intervention TC (mmol/L), post-intervention TG (mmol/L), post-intervention HDL-C (mmol/L), post-intervention LDL-C (mmol/L), comorbidity, adverse event. For studies with multiple publications, we combined these publications and used them in research. We contacted the authors for additional information by email if necessary. Data extraction was carried out by two authors independently, and discrepancies were solved by discussion.
Risk of Bias Assessment
In order to ensure the methodological reliability of this study, the risk of bias of the included studies was assessed by using the latest 2019 version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB2) (JAC et al., 2019). Detailed guidance of assessment can be found on the website https://www.riskofbias.info/. The nature of the effect of interest was “intention-to-treat” effect. Discrepancies were solved by discussion with a third author, Hongyan Xie. We plotted “traffic light” plot and weighted bar plot by using the robvis package for R to show the risk of bias assessment results (McGuinness and Higgins 2020). Finally, in order to promote transparency of assessment, we provided supporting information in Supplementary Material S3.
Data Synthesis
Data analysis was carried out according to Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated August 2019). Meta package for R was used for data synthesis. Risk ratio (RR) with 95% confidence interval (CI) was used as an effect measure for dichotomous outcomes and mean difference (MD) with 95% CI was used for continuous outcomes (Borenstein et al., 2017; Deeks et al., 2019a; Deeks et al., 2019b). Chi2 test was used to test the heterogeneity among studies and a significant level of p < 0.1 was considered to be heterogeneous. I2 statistics were used to quantify inconsistency across studies and I2 greater than 50% may represent substantial heterogeneity. A random-effects model was used to pooled the studies if there was substantial heterogeneity. As a sensitivity analysis, we also used another statistical model (fixed or random) to calculate the effect size and compare the results of two models to explore the impact of the model on the results. Prediction intervals were not calculated as the number of included studies was less than ten [(Riley et al., 2011; Veroniki et al., 2019)]. If one outcome was considered inappropriate for data synthesis, we presented this result by narrative overview.
Subgroup Analysis
Subgroup analyses were carried out according to these prespecified subgroup hypotheses (Oxman and Guyatt 1992; Sun et al., 2010):
duration of T2DM (≤5 years or >5 years).
Treatment duration (≥3 months or <3 months).
Age (>50 years old or ≤50 years old).
Baseline level (depending on data).
Sensitivity Analysis
Sensitivity analyses were conducted to investigate the robustness of the results by re-calculating pooled estimates after omitting one study at a time and using another statistical model (random-effects model or fixed-effect model).
Publication Bias
Publication bias was not carried out because of insufficient included studies.
Certainty of Evidence
Certainty of evidence was evaluated by grading of recommendations assessment, development, and evaluation (GRADE) methodology (Guyatt et al., 2008). The evidence from RCT was initially rated as high quality and can be degraded for reasons including risk of bias, imprecision, inconsistency, indirectness and publication bias (Guyatt, et al., 2011a; Guyatt, et al., 2011b; Guyatt,et al., 2011c; Guyatt, et al., 2011d; Guyatt, et al., 2011e).
Results
Search Results
A total of 671 citations were identified through database search. After reading titles and abstracts, 41 full-texts were obtained for further screening. Finally, 9 studies were included in meta-analysis and 2 studies were determined as awaiting classification due to lack of sufficient information (Weishan 2012; Wenjun and Pu 2013; Wenjun and Xingguo 2013; Jin 2015; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019; Yajin 2020). A list of excluded studies by reading full-text was provided in Supplementary Material S2. The process of study selection was shown in Figure 1.
FIGURE 1. Study flow diagram.
Characteristics of Included Studies
Nine studies including 811 participants were included in this meta-analysis. All the studies were conducted in China, with a time span from 2005 to 2020. In terms of formula composition, one study did not provide detailed information about medicine, while other studies reported detailed composition of HLJDD (Wen 2018). None of these studies reported quality control or chemical analysis of HLJDD. As to diagnostic criteria, 7 studies used the WHO definition as a diagnostic criteria, 2 studies used Chinese guidelines, and 1 study did not report diagnostic criteria (Jin 2015). The impact of these two studies on the pooled effect size was explored in sensitivity analysis. One study compared the difference in efficacy between metformin, HLJDD and combination treatment of metformin plus HLJDD at the same time, and we split this study into part 1 and part 2 (Wenjun and Xingguo 2013). One study reported the effect of HLJDD compared to no intervention with both groups receiving lifestyle interventions (Weishan 2012). Characteristics of included studies was provided in Table 1.
TABLE 1. Characteristics of included studies.
Risk of Bias Assessment
The overall judgements of risk of bias for all trials included in this study were high risk. The results of risk of bias were shown in Figures 2, 3. Details in risk of bias assessment were provided in supporting information (Supplementary Material S3).
FIGURE 2. Risk of bias graph.
FIGURE 3. Risk of bias summary.
Glycated Hemoglobin
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Compared with metformin alone, combination treatment of HLJDD and metformin may result in a reduction in HbA1c (MD −1.08%; 95% CI −1.25 to −0.90; p < 0.01; I2 = 0%; fixed effect model; 6 studies; 461 participants; low-certainty evidence) (Table 2, Figure 4) (Wenjun and Pu 2013; Wenjun and Xingguo 2013; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019). Subgroup analyses according to different courses of T2DM, treatment durations, ages, baseline levels showed no significant difference between groups (p = 0.61, 0.51, 0.37, 0.42 respectively) (Supplementary Material S4). Sensitivity analysis by changing statistical model and omitting studies did not show significant changes in the pooled effect (Supplementary Material S5).
TABLE 2. Certainty of evidence.
FIGURE 4. Forest plot for combination therapy of HLJDD and metformin compared with metformin on Hb1Ac.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study reported the effect of HLJDD alone on HbA1c compared with metformin and found that HLJDD could significantly decrease the level of HbA1c after three months of treatment but the effect was not as good as the metformin group (MD −0.17%; 95% CI −0.37 to 0.03; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study reported that HLJDD can reduce HbA1c compared with no intervention after four months treatment (MD −0.22%; 95% CI −0.42 to −0.02; 60 participants) (Weishan 2012).
Fasting Blood Glucose
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Combination treatment of HLJDD and metformin may result in a reduction in FBG compared with metformin (MD −1.42; 95% CI −1.63 to −1.20; p < 0.01; I2 = 4%; fixed effect model; 6 studies; 461 participants; very low-certainty evidence) (Table 2) (Figure 5) (Wenjun and Pu 2013; Wenjun and Xingguo 2013; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019). Subgroup analyses according to different courses of T2DM, treatment durations, and ages showed no significant difference between groups (p for interaction = 0.18, 0.13 and 0.17 respectively) (Supplementary Material S6). Subgroup analysis based on baseline levels were not conducted due to limited information. Sensitivity analysis by changing statistical model and omitting studies did not show significant changes in the pooled effect (Supplementary Material S7).
FIGURE 5. Forest plot for combination therapy of HLJDD and metformin compared with metformin on FBG.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study did not found difference between HLJDD alone and metformin in FBG (MD 0.22; 95% CI −0.32 to 0.76; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study investigated the difference between HLJDD and no intervention and found that HLJDD plus lifestyle intervention could decrease FBG compared with lifestyle intervention (MD −0.96; 95% CI −1.12 to 0.8; 60 participants) (Weishan 2012).
2-h Postprandial Glucose
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
One study reported that combination therapy of HLJDD and metformin may result in decrease in 2hPG compared with metformin alone (MD −1.36; 95% CI −2.14 to −0.58; 100 participants) (Wen 2018).
Huang-Lian Jie-Du Decoction Alone vs. Metformin or No Treatment
No study compared the effect of HLJDD with metformin or no intervention on 2hPG.
Homeostasis Model Assessment of Insulin Resistance
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Combination therapy of HLJDD and metformin could result in a reduction in HOMA-IR compared with metformin alone (MD –0.53; 95% CI –0.76 to –0.31; p < 0.01; I2 = 72%; random-effects model; 3 studies; 167 participants; very low-certainty evidence) (Table 2) (Figure 6) (Wenjun and Pu 2013; Wenjun and Xingguo 2013; Qiang 2018). Subgroup analysis was not conducted. Sensitivity analysis by changing statistical model and omitting studies one by one did not show significant changes in the pooled effect (Supplementary Material S8).
FIGURE 6. Forest plot for combination therapy of HLJDD and metformin compared with metformin on HOMA-IR.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study did not found difference between HLJDD alone and metformin in HOMA-IR (MD –0.02; 95% CI –0.29 to 0.25; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study found that HLJDD plus no intervention could decrease HOMA-IR compared with no intervention (MD –0.40; 95% CI –0.57 to –0.23; 60 participants) (Weishan 2012).
Body Mass Index
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
No study report BMI for Combination of HLJDD and metformin vs. metformin alone.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study found that there was an association between treatment by HLJDD and decrease of BMI compared with metformin alone (MD −0.22; 95% CI −0.42 to −0.02; 60 participants) (Wenjun and Pu 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
No study report BMI for HLJDD alone vs. no treatment.
High Density Liptein Cholesterol
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Five studies reported HDL-C as outcome. Results showed that combination therapy can increase HDL-C level compared with metformin (MD 0.24; 95% CI 0.12 to 0.37; p < 0.01; I2 = 69%; random-effects model; 5 studies; 395 participants; very low-certainty evidence) (Table 2) (Figure 7) (Wenjun and Xingguo 2013; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019). Subgroup analyses by duration of T2DM, treatment duration, age and baseline level showed no significant difference in effect size (p for interaction = 0.94, 0.33, 0.17 and 0.88 respectively) (Supplementary Material S9). Sensitivity analysis by using changing statistical model and omitting studies one by one did not show significant changes in the pooled effect (Supplementary Material S10).
FIGURE 7. Forest plot for combination therapy of HLJDD and metformin compared with metformin on HDL-C.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study found that there was no significant difference between HLJDD and metformin in HDL-C (MD 0.05; 95% CI –0.14 to 0.24; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study reported that there was significant difference between HLJDD and no intervention in HDL-C (MD 0.39; 95% CI 0.25 to 0.53; 60 participants) (Weishan 2012).
Low-Density Lipoprotein Cholesterol
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Combination therapy of HLJDD and metformin may decrease the level of LDL-C compared with metformin alone (MD –0.98; 95% CI –1.73 to –0.22; p < 0.01; I2 = 97%; random-effects model; 4 studies; 295 participants; very low-certainty evidence) (Table 2) (Figure 8) (Wenjun and Xingguo 2013; Qiang 2018; Xiang 2018; Jiajun 2019). Subgroup analyses by duration of T2DM showed no significant difference in effect size (p for interaction = 0.34). Subgroup analyses by age and baseline showed that there was significant difference in treatment effect (p < 0.01 for these subgroup analyses) (Supplementary Material S11). Sensitivity analysis showed that the result was not robust (Supplementary Material S12).
FIGURE 8. Forest plot for combination therapy of HLJDD and metformin compared with metformin on LDL-C.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study did not find significant difference between HLJDD alone and metformin in LDL-C (MD –0.12; 95% CI –0.37 to 0.13; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study found that HLJDD could decrease HOMA-IR compared with no intervention (MD –0.27; 95% CI –0.5 to –0.04; 60 participants) (Weishan 2012).
Total Cholesterol
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Combination therapy of HLJDD and metformin may decrease the level of TC compared with metformin alone (MD –1.03; 95% CI –1.53 to –0.53; p < 0.01; I2 = 93%; random-effects model; 5 studies; 395 participants; very low-certainty evidence) (Table 2) (Figure 9) (Wenjun and Xingguo 2013; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019). Subgroup analyses by duration of T2DM and age showed no significant difference in effect size (p for interaction = 0.96 and 0.14 respectively). Subgroup analyses by treatment duration and baseline showed that there was significant difference in treatment effect (p = 0.03 and p < 0.01 for these subgroup analyses) (Supplementary Material S13). Sensitivity analysis indicated that the result was robust (Supplementary Material S14).
FIGURE 9. Forest plot for combination therapy of HLJDD and metformin compared with metformin on TC.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study found that there was significant difference between HLJDD alone and metformin in TC (MD –0.52; 95% CI –0.77 to 0.27; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
No study reported the difference between HLJDD and no intervention on TC as outcome.
Triglyceride
Combination of Huang-Lian Jie-Du Decoction and Metformin vs. Metformin Alone
Combination therapy of HLJDD and metformin may decrease the level of TG compared with metformin alone (MD −0.55; 95% CI −0.81 to −0.29; p < 0.01; I2 = 91%; random-effects model; 5 studies; 395 participants; very low-certainty evidence) (Table 2) (Figure 10) (Wenjun and Xingguo 2013; Qiang 2018; Wen 2018; Xiang 2018; Jiajun 2019). Subgroup analyses by age showed significant difference in effect size (p < 0.01). Subgroup analyses by duration of T2D, treatment duration and baseline level showed no significant difference in treatment effect (p = 0.44, 0.44 and 0.42 for these subgroup analyses) (Supplementary Material S15). Sensitivity analysis indicated that the result was not robust (Supplementary Material S16).
FIGURE 10. Forest plot for combination therapy of HLJDD and metformin compared with metformin on TG.
Huang-Lian Jie-Du Decoction Alone vs. Metformin
One study reported that there was no significant difference between HLJDD alone and metformin in TG (MD −0.17; 95% CI −0.37 to 0.03; 36 participants) (Wenjun and Xingguo 2013).
Huang-Lian Jie-Du Decoction Alone vs. No Treatment
One study reported that there was no significant difference between HLJDD and no intervention on TC (MD −0.22; 95% CI −0.42 to 0.02; 60 participants) (Weishan 2012).
Adverse Events
Three studies reported adverse events as outcome. One study reported that no adverse event was observed (Weishan 2012). One study reported that there were 1 case of headache, 3 cases of nausea and vomiting, 1 case of dizziness and 1 case of dry cough in HLJDD group (Yajin 2020). One study reported 1 case of hypoglycemia and 4 cases of mild nausea and loss of appetite and then gradually disappeared (Wen 2018).
Discussion
Main Results of This Research
By using evidence-based methods, some important results were obtained from this study. A total of 671 relevant publications were searched, and eventually 9 studies were included in the quantitative analysis. By conducting a risk of bias assessment, we found that all studies suffered from high risk of bias. By pooling data, we found that the combination of HLJDD and metformin may reduce HbA1c, FBG, PBG, BMI, and HOMA-IR compared to metformin alone. In addition, we found that combination therapy was also associated with improved lipid metabolism, but the results were not robust. Evidence is insufficient regarding the use of HLJDD alone vs. metformin or vs. no intervention. Only 3 studies reported adverse events, so it is not yet sufficient to evaluate safety of HLJDD.
Certainty of Evidence
We evaluated the certainty of evidence of this study through GRADEpro. As a result, it was found that the certainty of evidence regarding HLJDD combined with metformin was low. The degradation for the certainty of evidence was mainly due to high risk of bias, the inconsistency among studies and the imprecision of the findings. We did not evaluate the certainty of evidence for HLJDD alone vs. metformin alone or no intervention because there were too few research evidences.
Risk of Bias
None of the trials included in this study implemented random allocation concealment and blinding methods well, which may lead to an exaggerated effect of the intervention. None of them use ITT analysis, which would have skewed the results in the direction of favoring HLJDD. Taking these points together, we think that the effect size obtained in this study may be overstated. The results of this study should be interpreted and applied with caution.
Heterogeneity Among Studies
Statistical heterogeneity is a consequence of clinical or methodological heterogeneity, or both, among studies. By clearly defined the PICO for each comparison, the clinical heterogeneity was minimized. Due to the low methodological quality of the studies included in this study, as reflected by the risk of bias assessment results, this largely leads to the heterogeneity of the results. In addition, due to the small number of studies and sample size, we failed to find out more potential effect modifiers. This highlights the importance of strengthening the methodological control of future research.
Publication Bias
Since fewer than 10 studies were included, we did not perform publication bias assessment in this study. The best way to evaluate whether there is publication bias is to compare published clinical trial report with registration information or study protocols. None of the trials included in this study were registered, and no studies protocol was available, so we were unable to assess the completeness of data. For these reasons, we cannot yet rule out the possibility of publication bias.
Agreement and Disagreement With Other Studies
There are currently two systematic reviews about this issue, both of which suffered from serious methodological flaws [(CHEN et al., 2018; GUO 2019)]. In terms of literature search, this research conducted a more thorough data search and obtained some updated literature, which ensures that this research is up to date. In these two meta-analyses, modified HLJDD was also included in data analysis. In addition, some studies allowed researchers to adjust the composition of formula according to the patients' condition during the research. For these reasons, there were significant heterogeneity in formula composition among included studies. Combining these data in meta-analysis would lead to clinical heterogeneity and difficulties in the interpretation of results. In addition, it is not appropriate for authors to combine different comparisons when performing data analysis. The authors did not assess the certainty of evidence, which limited the application of results. Finally, the author confirmed the effects of HLJDD in T2DM, which in our view is inappropriate given the heterogeneity among studies, the high risk of bias and the potential publication bias.
Implication for Clinical Practice and Future Research
This research was unable to draw any firm conclusion about the effects of HLJDD due to lack of high-quality evidence. Given the uncertainty of efficacy, clinicians should be cautious in recommending this prescription until more robust clinical studies are available. In addition, although there are some studies reporting adverse events, safety of HLJJD is still largely unknown, so clinicians and patients need to take into account that its potential risk have not been completely ruled out.
Based on the evidence now available, more high-quality studies evaluating the efficacy of HLJDD, particularly the effect of combination of HLJDD and metformin vs. metformin alone, are urgently needed. Based on the methodological evaluation in this research, the following points are suggested for special consideration in future research:
Use of proper placebo and masking in studies to evaluate placebo effects of HLJDD.
Register Studies Before They Begin to Reduce Selective Publication of Data
Use appropriate data analysis methods, such as ITT analysis.
Select Proper Sample Size Through Sample Size Estimation
Conduct follow-up visits to investigate long-term effect of HLJDD.
Improve the quality of reporting results by complying with the CONSORT statement.
Limitation of This Research
Although we try our best to avoid bias during the study, some limitations still inevitably exist. The number of studies included in this study is small and the quality is low, which lead to the low certainty of evidence. Although we conducted subgroup analyses based on pre-defined subgroup hypotheses, the source of heterogeneity is still not fully identified. Due to the limited number of studies included, we were unable to perform meta-regression to further explore the source of heterogeneity. The cutoff points for age and duration are mainly based on related studies and more biological basis is needed. In addition, the included studies did not pay enough attention to the safety of HLJDD. In terms of effect on lipid metabolism, the results are not robust due to small number of included studies and inconsistency of results, which limit the clinical applicability of results.
Conclusion
To sum up, this meta-analysis found that combination treatment of HLJDD and metformin may have an effect on T2DM but the evidence is very uncertain and more high-quality studies are needed to firmly establish the clinical efficacy and safety of HLJJD.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author Contributions
CX and MY conceptualized this research. ZH, MY, and HX conducted this meta-analysis. SP and JG drafted the original manuscript and CX and MY revised this manuscript.
Funding
This work is funded by Science and Technology Program of Sichuan Province (Grant No. 2019YFS0022).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2021.648861/full#supplementary-material.
Abbreviations
2hPG, 2-h Postprandial glucose; CENTRAL, Cochrane Central Register of Controlled Trial; CHiCTR, Chinese Clinical Trial Registry; CI, confidence interval; CNKI, China National Knowledge Infrastructure; cqvip, VIP information resource integration service platform; FBG, Fasting blood glucose; GRADE, Grading of Recommendations Assessment, Development and Evaluation; HbA1c, Glycated hemoglobin; HDL-C, High Density Liptein Cholesterol; HLJDD, Huang-Lian Jie-Du decoction; HOMA-IR, Homeostasis model assessment of insulin resistance; ICTRP, WHO International Clinical Trials Registry Platform; LDL-C, Low-Density Lipoprotein Cholesterol; ROB2, version 2 of the Cochrane risk-of-bias tool for randomized trials; RR, Risk ratio; T2DM, Type 2 diabetes mellitus; TCM, traditional Chinese medicine; TC, Total Cholesterol; TG, Triglyceride.
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Keywords: meta-analysis, systematic review, type diabetes mellitus, traditional Chinese medicine, huang-lian jie-du decoction
Citation: Hu Z, Yang M, Liu Y, Yang Q, Xie H, Peng S, Gao J and Xie C (2021) Effect of Huang-Lian Jie-Du Decoction on Glucose and Lipid Metabolism in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Front. Pharmacol. 12:648861. doi: 10.3389/fphar.2021.648861
Received: 02 January 2021; Accepted: 07 April 2021;
Published: 29 April 2021.
Edited by:
Anthony Booker, University of Westminster, United KingdomReviewed by:
Jianxin Chen, Beijing University of Chinese Medicine, ChinaFengmei Lian, China Academy of Chinese Medical Sciences, China
Copyright © 2021 Hu, Yang, Liu, Yang, Xie, Peng, Gao and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Maoyi Yang, 3406673658@qq.com
†These authors have contributed equally to this work and share first authorship