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Research ArticleMeta-Analysis of the Therapeutic Effect of Shenqi JiangtangGranule on Type 2 Diabetes Mellitus
Ruo-Lan Li ,1 Tai-Wei Dong,1 Ji-Gang Wei,2 Feng Gao,1 Min Li ,1 Yang Bai,3
Pei-Feng Wei ,1,3 and Miao-Miao Xi 3
1College of Pharmacy, Shaanxi University of Chinese Medicine, Shiji Road, Qindu District, Xianyang, Shaanxi 712046, China2Tongchuan Mineral Bureau Central Hospital, No. 15, Chuankou Road, Wangyi District, Tongchuan, Shaanxi 727000, China30e Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Weiyang West Road, Qindu District,Xianyang, Shaanxi 712046, China
Correspondence should be addressed to Pei-Feng Wei; peifeng_ad@163.com and Miao-Miao Xi; miaomiaoxi2014@163.com
Received 25 May 2020; Revised 1 July 2020; Accepted 23 July 2020; Published 29 September 2020
Guest Editor: Reggiani Vilela Gonçalves
Copyright © 2020 Ruo-Lan Li et al. 2is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Objective. To systematically evaluate the effectiveness of Shenqi Jiangtang granule (SQJT) in the treatment of type 2 diabetes.Methods. We searched CNKI, Wanfang Data, VIP, and PubMed databases to collect randomized controlled trials (RCT) of ShenqiJiangtang granules in the treatment of type 2 diabetes. 2e search time was from January 2014 to the present. Data were extracted,and quality was evaluated. Metadata analysis of the extracted data was carried out using RevMa5.2 software. 2e final results areexpressed in relative risk (RR), mean difference (MD), and 95% CI. Results. 2is study included a total of 13 studies, 1160 subjects.Meta-analysis results showed that the test group was better than the control group (RR� 1.26, 95% CI 1.18–1.34, P< 0.00001).2efasting blood glucose, postprandial blood glucose, and glycated hemoglobin of the test group were also significantly better thanthose of the control group.Conclusion. Shenqi Jiangtang granules have a certain clinical effect and low adverse reaction rate for thetreatment or adjuvant treatment of type 2 diabetes. At present, the drug has been widely used in clinical practice, but a largenumber of large-sample clinical trials are needed to further verify its specific efficacy and safety.
1. Introduction
Diabetes is a metabolic disease characterized by high bloodsugar, which is divided into type 1 and type 2. Type 1diabetes is an autoimmune disease that causes destructionof islet β cells, accounting for about 5%–10% of patientswith diabetes [1]. Type 2 diabetes mellitus (T2DM) is alsoknown as adult-onset diabetes. It develops after 35 to 40years of age and accounts for more than 90% of diabeticpatients. 2is disease is characterized by hyperglycemiaresulting from defects in insulin secretion, insulin action,or both [2]. 2e pathogenesis of T2DM is more compli-cated. With the development of social economy and theimprovement of people’s living standards, the prevalence ofT2DM is rapidly increasing worldwide [3]. 2erefore, webelieve that the pathogenesis of the disease may have a closerelationship with the patient’s own lack of exercise, high-
calorie diet, and poor eating habits. According to statisticsfrom relevant data, the number of diabetes patients in 2107has reached 42.49 million, and approximately 35.21 millionpeople worldwide have impaired glucose tolerance (i.e.,they are in prediabetes) [4]. It is emerging as one of themost prevalent human ailments next to cardiovasculardiseases and is the sixth leading cause of death worldwide(WHO). It is estimated that, by 2030, the number of peoplewith diabetes worldwide will be close to 550 million [5].Diabetes is a chronic disease. Patients with long-term highblood sugar will cause more serious complications such asdiabetic neuropathy, diabetic nephropathy, and diabeticfoot [6, 7] which seriously threaten the patient’s health andquality of life [8]. At present, the treatment of diabetes ismainly through long-term, regular use of drugs to improvethe patient’s glucose metabolism [9, 10]. 2e first-linedrugs used in clinical treatment of T2DM mainly include
HindawiEvidence-Based Complementary and Alternative MedicineVolume 2020, Article ID 5754823, 13 pageshttps://doi.org/10.1155/2020/5754823
acarbose, metformin hydrochloride, and sulfonylureadrugs. 2ey have fast-acting effects and less side effects, butlong-term use can also cause adverse reactions such aslactic acidosis, nausea, and bloating, not conducive to long-term treatment [11]. From the perspective of traditionalChinese medicine, diabetes is classified as “diabetes anddementia,” and its pathogenesis is attributed to Yin andTianjin loss, hot and dry, qi deficiency, blood stasis, andblood stasis internal resistance [12–14]. 2e principle oftreatment should be to invigorate qi, nourish yin, andnourish fluid to quench thirst [15]. 2e treatment of dia-betes by traditional Chinese medicine focuses on the ad-justment of the overall function, and the traditionalChinese medicine has a mild performance in reducingblood sugar and improving the metabolic function of thebody, has a long-lasting effect and little adverse reactions,and can prevent and cure multiple organ complications[16], and we should carry out more in-depth clinical re-search. At present, in the treatment of T2DM in traditionalChinese medicine, Shenqi Jiangtang granules are widelyused. Clinical trials on their efficacy have shown thatShenqi Jiangtang granules are superior to simple Westernmedicine treatments [17]. Considering a single study mighthave been underpowered to detect the overall effects, aquantitative synthesis of the accumulated data from dif-ferent studies was deemed important to provide evidenceon the association between the Shenqi Jiangtang granulesand type 2 diabetes. So, we carried out this meta-analysis onall published studies to estimate the therapeutic effect ofShenqi Jiangtang granules on type 2 diabetes.
2. Materials and Methods
2.1. Inclusion and Exclusion Criteria
2.1.1. Type of Study. 2e literature of clinical RCTs related toShenqi Jiangtang granules in the treatment of type 2 diabeteswas considered, whether blind or not.
2.1.2. Research Object. Patients who meet the “Chinese Type2 Diabetes Prevention and Treatment Guidelines (2017Version)” [18] and are diagnosed with type 2 diabetes, thatis, patients with polydipsia, polyphagia, polyuria, and bodymass decline, random blood glucose ≥11.1mmol/L, fastingBlood glucose (FBG) ≥7.0mmol/L, and/or 2 hours post-prandial blood glucose (P2h BG) ≥11.1mmol/L, wereincluded.
2.1.3. Intervention. 2e patients in the control group werenot given treatment or simply treated with Western med-icine. 2e patients in the test group were treated with ShenqiJiangtang granules on the basis of the control group.
2.1.4. Outcome Indicators. 2e main outcome indicatorswere effectiveness, fasting blood glucose (FBG), postprandialblood glucose (PBG), glycated hemoglobin (HbA1c), andadverse reaction rate.
2.1.5. Exclusion Criteria. A large number of repeated pub-lications; non-RCT studies (including clinical case reports,relevant literature reviews, animal pharmacological experi-ments, and non-RCT clinical trials and other types of lit-erature); the literature with incomplete outcome indicators;the literature that cannot extract data; and other non-compliant inclusions standard literature were the exclusioncriteria.
2.2. Document Retrieval Process. Relevant medical journalsin Chinese and English databases, such as the ChinaKnowledge Network (CNKI), Wanfang Data KnowledgePlatform (Wanfang Data), VIP Database, and PubMed, weresearched from 2014 to the present. 2e retrieval processfollows the PICOS principle, namely, P: type 2 diabetes; I:Shenqi Jiangtang granules +Western medical method; C:western medical method; O: type 2 diabetes-related indi-cators; and S: randomized controlled trial. We set the fol-lowing keywords as search strategies: type 2 diabetes, ShenqiJiangtang granules, lower blood sugar, and clinical trials, andwe use this search strategy to presearch Chinese and Englishdatabases, further optimize the search keywords based onthe search results, and record the final search literature.
2.3. Data Extraction and Quality Evaluation of the LiteratureMethodology. After collecting and summarizing the docu-ments retrieved above, according to the established inclusionand exclusion criteria, combined with the systematic reviewmethod of the Cochrane Collaboration Network to selectqualified documents, relevant information will be extractedfrom the qualified documents after screening. 2rough theRCT quality assessment standard of the Cochrane Collab-oration Network, the methodological quality of the includeddocuments is evaluated, and the documents are included inthe following 7 aspects: random method, allocation con-cealment, blind implementation, concealment of outcomeindicators, and integrity of outcome indicators.
2.4. Statistical Methods. RevMan 5.2 software was used forstatistical analysis of the extracted data. Binary variables andcontinuous variables were calculated using relative risk (RR)and mean (MD), respectively, and a 95% confidence interval(CI) was calculated. When the combined data have nosignificant heterogeneity (P> 0.10 or I2≤ 50%), the fixed-effect model is used for analysis; when the combined datahave significant heterogeneity (P≤ 0.10 or I2≥ 50%), thenthe random effects model is used for analysis. P< 0.05 wasconsidered statistically significant.
2.5. Evidence Quality Evaluation. GraphPad Prism 6 soft-ware was used to input and quantify the quality of the in-cluded outcome indicators [19]. 2e GRADE evidencequality evaluation divides the outcome indicators into 3grades, of which 1–3 are unimportant outcome indicators,4–6 are important outcome indicators, and 7–9 are keyoutcome indicators; RCT is set as the high quality of in-tervention effect estimation evidence, and observational
2 Evidence-Based Complementary and Alternative Medicine
studies were set as low-quality evidence. Based on the re-search design, it can be divided into 5 downgrade factors and4 upgrade factors [20]. 2e main research object of thisarticle is RCT articles, mainly based on the risk of bias,inaccuracy, inconsistency, indirectness, and publication biasto classify the quality of evidence.
3. Results
3.1. Literature Screening Process and Results. A total of 516related documents were retrieved through the system. Afterscreening duplicate documents, limiting publication time,and reading titles and abstracts, a total of 503 articles wereexcluded, and finally, 13 articles were included. 2e specificscreening process is shown in Figure 1.
3.2. Basic Information Included in the Literature. All studiesare conducted in China and are RCT experiments. Table 1shows the detailed characteristics of all studies, such as age,sex ratio, intervention methods, treatment cycle, and out-come indicators. A total of 1160 patients were tested in thisstudy, including 580 in the test group (T) and 580 in thecontrol group (C).
3.3. Inclusion of Literature Quality Evaluation. Refer to thebias risk assessment standard provided by the CochraneCollaboration Network to conduct randomization, alloca-tion concealment, blind implementation, blindness of out-come indicators, completeness of outcome indicators, andother 7 aspects of bias studies for the included documents. Itis expressed in three ways: low risk, high risk, and unclear.2e results are shown in Figure 2.
3.4. Meta-Analysis Results
3.4.1. Meta-Analysis Based on the Effectiveness of ClinicalTreatment. Among the 13 studies included, 9 articles in-cluded statistics on the total effectiveness of the experimentalgroup and the control group, and the analysis showed noheterogeneity (DF� 8, P � 0.95, I2 � 0%), so a fixed-effectmodel is used. Meta-analysis results are shown in Figure 3.2e combined RR value of the included literature is 1.26(95% CI (1.18, 1.34)). As shown in Figure 4, we performed asubgroup analysis of the included studies according to thetype of treatment drug in the control group. 2e resultsshowed that there was no heterogeneity in each subgroup.2e results show that the total effective rate of the experi-mental group is higher than that of the control group, andthe difference is statistically significant (P< 0.00001).
3.4.2. Meta-Analysis Based on Fasting Blood GlucoseIndicators. A total of 12 literature were included in thefasting blood glucose test. 2e results of the study showedthat there was no heterogeneity between the studies(DF� 11, P � 0.77, I2 � 0%). 2e fixed-effect model wasused. Figure 5 shows that the fasting blood glucose controldegree of the Shenqi Jiangtang granules combined medi-cation group was better than that of the control group,MD� −1.18 (95% CI (−1.29, −1.06)), and the results of thetest group and the control group were statistically different(P< 0.00001). As shown in Figure 6, we conducted a sub-group analysis of the included studies based on the type oftherapeutic drugs in the control group. 2e results showedthat there was no heterogeneity in each subgroup.2e resultsshowed that the fasting blood glucose index of the experi-mental group was lower than that of the control group, andthe difference was statistically significant.
3.4.3. Meta-Analysis Based on Postprandial Blood GlucoseIndicators. A total of 12 literature were included in thepostprandial blood glucose test, and the results showed thatthere was no heterogeneity (DF� 11, P � 0.18, I2 � 27%); afixed-effect model was used. Figure 7 shows that ShenqiJiangtang granules degree of postprandial blood glucosecontrol in the combined medication group was better thanthat in the control group, MD� −1.74 (95% CI (−1.95,−1.53)). 2e results of the test group and the control groupwere statistically different (P< 0.00001) (see Figure 7). Asshown in Figure 8, we conducted a subgroup analysis of theincluded studies based on the type of therapeutic drugs inthe control group. 2e results showed that there was noheterogeneity in each subgroup. 2e results showed that thepostprandial blood glucose index of the experimental groupwas lower than that of the control group, and the differencewas statistically significant.
3.4.4. Meta-Analysis Based on the Glycated HemoglobinIndex. A total of 12 literature were included in the detectionof outcome indicators for glycated hemoglobin. 2e resultsof the study showed that there was no heterogeneity between
516 records identified from database search
112 from VIP 0 from PubMed144 from wan fang260 from CNKI
30 records excluded(duplicate records)
486 potentially relevant articlesidentified for title and abstract review
300 records excluded on time limit(before 2013)
186 articles identified consider for full
50 records excluded 46 review articles
48 non“randomized controlled trial”29 outcome indicators do not meet
requirements
13 articles included in synthesisShenqi Jiangtang granule for type II diabetes
(n = 13)
Figure 1: Document screening flow chart.
Evidence-Based Complementary and Alternative Medicine 3
Tabl
e1:
Principalc
haracteristicsof
thestud
iesinclud
edin
themeta-analysis.
Reference
Samplesiz
e(C
/T)
Gender
(male/
female)
Age
(range,m
ean)
Treatm
entmetho
dTreatm
ent
cycle(w
eek)
Measurement
index
Zhang
etal.,2019
[21]
60/60
T: 31/
29
C:
33/
27
T:45–6
7(57.13±9.86)
C:4
2–69
(57.46±9.74)
T:SQ
JT+Metform
in+Glim
epiride
C:M
etform
in+Glim
epiride
121、
2、3、
4
Sui2
019[22]
52/52
T: 30/
22
C:
31/
21
T:39–6
8(54.31±5.11)
C:3
8–67
(53.25±4.70)
T:SQ
JT+Metform
in+Ro
siglitazon
eC:
Metform
in+Ro
siglitazon
e12
1、2、
4
LiuandGao,
2017
[23]
20/20
T: 23/
14
C:
10/
10
T:41–6
5(56.55±7.17)
C:4
2–65
(55.30±7.36)
T:SQ
JT+Metform
inC:M
etform
in12
1、2、
3、4
Sun,
2017
[24]
48/48
T: 28/
20
C:
30/
18
T:38–6
4(56.27±4.61)
C:3
6–62
(54.15±4.29)
T:SQ
JT+Metform
inC:M
etform
in8
1、2、
3、4
Wang,
2016
[25]
69/69
T: 43/
26
C:
41/
28
T:25–6
5(54.3±3.2)
C:2
6–65
(53.2±3.4)
T:SQ
JT+Metform
in+Insulin
glargine
C:M
etform
in+Insulin
glargine
121、
2、3、
4
Yang
,2017[26]
40/40
T: 21/
19
C:
22/
18
T:42–6
5(55.8±8.9)
C:4
5–64
(55.4±6.8)
T:SQ
JT+Metform
inC:M
etform
in24
2、3、
4
Chen,
2018
[27]
52/52
T: 32/
20
C:
31/
21
T:26–6
3(55.2±3.5)
C:2
7–60
(54.3±3.7)
T:SQ
JT+Metform
inC:M
etform
in12
2、3、
4
FanandGao,
2014
[28]
40/40
T: 22/
18
C:
24/
16T:
42–7
4C:4
0–73
T:SQ
JT+Metform
inC:M
etform
in12
1、2、
3、4
Zhang,
2019
[29]
49/49
T: 29/
20
C:
31/
18
T:40–7
5(59.18±7.66)
C:4
3–74
(60.27±6.34)
T:SQ
JT+Metform
inC:M
etform
in12
3、4
Song
,2018[30]
36/36
T: 21/
15
C:
20/
16
T:43–7
6(59.12±10.83)
C:41–
74(58.94±10.15)
T:SQ
JT+Liraglutide
C:L
iraglutid
e12
1、2、
3、4
Li,2
015[31]
42/42
T: 27/
15
C:
26/
16
T:53–6
8(63.1±6.6)
C:5
4–69
(62.8±6.2)
T:SQ
JT+Re
paglinide
C:R
epaglin
ide
41、
2、3、
4
Wang,
2013
[32]
42/42
T: 26/
16
C:
27/
15
T:35–6
6(45.9±7.4)
C:3
3–63
(43.5±5.2)
T:SQ
JT+Metform
inC:M
etform
in8
1、2、
3、4
Liu,
2018
[33]
30/30
T: 14/
16
C:
13/
17
T:60–7
6(67.2±9.4)
C:6
0–78
(66.8±10.2)
T:SQ
JT+Metform
inC:M
etform
in12
2、3
Note.1.
Efficient;2.
FBG;3
.PBG
;4.H
bA1c.
4 Evidence-Based Complementary and Alternative Medicine
the studies (DF� 11, P � 0.08, I2 � 39%). A fixed-effectmodel was used. Figure 9 shows that the control level ofglycated hemoglobin in the Shenqi Jiangtang granulescombined medication group was better than that in thecontrol group, MD� −1.13 (95% CI (−1.24, −1.01)), and theresults of the experimental group and the control group werestatistically different (P< 0.00001). As shown in Figures 10and 11, we conducted a subgroup analysis of the includedstudies based on the type of therapeutic drugs in the controlgroup. 2e results showed that the metformin control groupwas heterogeneous, so a random effect model was used. 2eheterogeneity effect is small and may be caused by clinicalheterogeneity. 2ere was no heterogeneity in the remainingsubgroups. 2e results showed that the glycated hemoglobinindex of the experimental group was lower than that of thecontrol group, and the difference was statistically significant.
3.4.5. Meta-Analysis of Adverse Reactions. Adverse eventswere mentioned in the 4 articles included, and the resultsshowed no heterogeneity between studies (DF� 3, P � 0.6,
I2 � 0%), using a fixed-effect model. Figure 12 shows thecombination of Shenqi Jiangtang granules 2e incidence ofadverse reactions in the treatment group was lower than thatin the control group MD� 0.21 (95% CI (0.08, 0.51)), andthere was a significant difference between the experimentalgroup and the control group (P � 0.0006). As shown inFigure 13, we conducted a subgroup analysis of the includedstudies based on the type of therapeutic drugs in the controlgroup.2e results showed that there was no heterogeneity ineach subgroup.2e results showed that the adverse reactionsof the experimental group were lower than that of thecontrol group, and the difference was statistically significant.
3.4.6. Sensitivity Analysis. Sensitivity analysis of the effi-cacy, fasting blood glucose, postprandial blood glucose,glycated hemoglobin, and adverse reaction rate of ShenqiJiangtang granules in the treatment of type 2 diabetes wasperformed by changing the effect model and removingthe larger or smaller proportion of the weights. 2e re-sults of the study did not change significantly, indicating
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Other bias
Caix
ia W
ang,
201
6
Chan
ghon
g So
ng, 2
018
Feng
ling
Jiu, 2
019
Gua
ngha
i Liu
, 201
8
Hua
Yan
g, 2
017
Hui
ping
Liu
, 201
7
Lei Z
hang
, 201
9
Shiy
u Ch
en, 2
018
Wei
Li,
2015
Yanz
hao
Zhan
g, 2
019
Ying
li Fa
n, 2
019
Yue S
un, 2
017
Zaip
ing
Wan
g, 2
013
Figure 2: Document quality evaluation chart.
Experimental Control Risk ratio Risk ratio
0.2 0.5 1 2 5
Study or subgroupEvents Total Events Total
Weight(%) M-H, fixed, 95% CI M-H, fixed, 95% CI
Caixia Wang 2016Changhong Song 2018Fengling Jiu 2019Huiping Liu 2017Lei Zhang 2019Wei Li 2015Yingli Fan 2019Yue Sun 2017Zaiping Wang 2013
Total (95% CI)Total eventsHeterogeneity: chi2 = 2.73, df = 8 (P = 0.95); I2 = 0%Test for overall effect: Z = 7.07 (P < 0.00001)
643347195440384439
378
542638154530303427
299
693652206042404842
409
18.18.7
12.75.0
15.110.010.011.49.0
100.0
1.19 [1.03, 1.36]1.27 [1.01, 1.59]1.24 [1.03, 1.49]1.27 [0.96, 1.66]1.20 [1.01, 1.42]1.33 [1.09, 1.63]1.27 [1.04, 1.54]1.29 [1.06, 1.58]1.44 [1.14, 1.84]
1.26 [1.18, 1.35]
693652206042404842
409
Control Experimental
Figure 3: Forest map of the effective rate of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Evidence-Based Complementary and Alternative Medicine 5
that our results were statistically reliable, as shown inTable 2.
3.4.7. Evaluation of Publication Bias Based on the TotalEffective Clinical Efficacy. Evaluation of the total effective-ness of the included literature is performed, as shown inFigure 14, and the funnel chart results suggest that the studydata of Shenqi Jiangtang granules combined with conven-tional Western medicine in the treatment of type 2 diabetesare more authentic and less likely to be biased.
3.5. Evaluation of the Evidence Quality. GraphPad Prism 6was used to evaluate the quality of the included literature.2e total effective rate of treatment is a key outcome in-dicator, and fasting blood glucose, postprandial bloodglucose, and glycated hemoglobin are important outcomeindicators. 2e grading chart of evidence quality of eachoutcome index is shown in Figure 15. All included docu-ments are RCT experiments, and there is no obvious pub-lication bias.
4. Discussion
As a high-risk group, type 2 diabetes patients are increas-ingly valued by more and more medical workers, which hasalso caused a lot of attention.2e patient’s body has been in adisorder of blood glucose and blood lipid metabolism for along time, and the possibility of various chronic compli-cations has also increased significantly [34]. Westernmedicine hypoglycemic drugs achieve a good hypoglycemiceffect by enhancing the body’s consumption of glucose,inhibiting its absorption and production [35]. However, inthe long-term observation ofWestern medicine treatment, ithas been found that insulin secreted and synthesized by isletβ cells under physiological conditions has no obvious hy-poglycemic effect, the feedback of insulin concentrationincreases, and the patient’s blood glucose level increasessignificantly. Long-term resistance of the islet function notonly affects the hypoglycemic effect of the drug but alsocauses certain damage to islet β cells, resulting in functionalexhaustion [36]. “Su Wen·Singular Disease” records that“this person must eat sweet and fat but also fat so his qi
M-H, fixed, 95% CI M-H, fixed, 95% CIExperimental Control Risk ratio Risk ratio
Study or subgroup
1.6.2. MetforminHuiping Liu 2017Yingli Fan 2019Yue Sun 2017Zaiping Wang 2013
Subtotal (95% CI)Total eventsHeterogeneity: chi2 = 0.84, df = 3 (P= 0.84); I2 = 0%Test for overall effect: Z = 4.89 (P < 0.00001)
1.6.3. Metformin assisted other Western medicineCaixia Wang 2016Fengling Jiu 2019Lei Zhang 2019
Subtotal (95% CI)Total eventsHeterogeneity: chi2 = 0.13, df = 2 (P = 0.94); I2 = 0%Test for overall effect: Z = 3.87 (P = 0.0001)
Total (95% CI)Total eventsHeterogeneity: chi2 = 2.73, df = 8 (P = 0.95); I2 = 0%Test for overall effect: Z = 7.07 (P < 0.00001)Test for subgroup differences: chi2 = 1.87, df = 3 (P = 0.60), I2 = 0%
1.6.4. LiraglutideChanghong Song 2018
Subtotal (95% CI)Total eventsHeterogeneity: not applicableTest for overall effect: Z = 2.07 (P < 0.04)
1.6.5. RepaglinideWei Li 2015
Subtotal (95% CI)Total eventsHeterogeneity: not applicableTest for overall effect: Z = 2.78 (P < 0.005)
Events
19384439
140
20404842
150
15303427
106
20404842
150
5.010.011.49.0
35.5
1.27 [0.96, 1.66]1.27 [1.04, 1.54]1.29 [1.06, 1.58]1.44 [1.14, 1.84]1.32 [1.18, 1.48]
644754
165
695260
181
543845
137
695260
181
18.112.715.145.8
1.19 [1.03, 1.36]1.24 [1.03, 1.49]1.20 [1.01, 1.42]1.20 [1.10, 1.32]
33
33
3636
26
26
3636
8.78.7
1.27 [1.01, 1.59]1.27 [1.01, 1.59]
40
40
4242
30
30
4242
10.010.0
1.33 [1.09, 1.63]1.33 [1.09, 1.63]
378409
299409 100.0 1.26 [1.18, 1.35]
Total Events TotalWeight
(%)
0.5 0.7 1 1.5 2
Control Experimental
Figure 4: Forest map of subgroup analysis on the effective rate of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
6 Evidence-Based Complementary and Alternative Medicine
overflowed and turned to thirst.” Obesity is the basis for theonset of type 2 diabetes, and phlegm turbidity, dampness,and heat content are the initial factors. Phlegm turbidity,dampness, and heat obstruction are scorching, soil stag-nation, spleen loss of health, liver loss and drainage, and
water valley fineness. Stagnation of blood is an importantpart of the rise of blood sugar and its incidence, and bloodstasis is the main cause of various comorbidities [37]. 2emain components of Shenqi Jiangtang granules are ginseng,ginsenosides, Astragalus, Ophiopogon japonicus, raspberry,
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
Caixia Wang 2016Changhong Song 2018Fengling Jiu 2019Guanghai Liu 2018Hua Yang 2017Huiping Liu 2017Lei Zhang 2019Shiyu Chen 2018Wei Li 2015Yingli Fan 2019Yue Sun 2017Zaiping Wang 2013
Total (95% CI)Heterogeneity: chi2 = 7.30, df = 11 (P = 0.77); I2 = 0%Test for overall effect: Z = 19.89 (P < 0.00001)
6.027.045.985.756.125.745.266.216.226.1
6.047.01
1.071.071.061.340.850.990.571.030.492.161.351.17
7.487.987.426.857.126.866.537.327.337.2
7.297.89
1.231.361.211.720.941.040.821.120.573.021.421.25
693652304020605242404842
531
693652304020605242404842
531
9.14.27.02.28.73.4
21.17.9
26.01.04.45.0
100.0
–1.46 [–1.84, –1.08]–0.94 [–1.51, –0.37]–1.44 [–1.88, –1.00]–1.10 [–1.88, –0.32]–1.00 [–1.39, –0.61]–1.12 [–1.75, –0.49]–1.27 [–1.52, –1.02]–1.11 [–1.52, –0.70]–1.11 [–1.34, –0.88]–1.10 [–2.25, 0.05]
–1.25 [–1.80, –0.70]–0.88 [–1.40, –0.36]
–1.18 [–1.29, –1.06]
–2 –1 0 1 2
Experimental Control
Figure 5: Forest map of FBG of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
1.7.1. Metformin Guanghai Liu 2018 Hua Yang 2017 Huiping Liu 2017 Shiyu Chen 2018 Yingli Fan 2019 Yue Sun 2017 Zaiping Wang 2013Subtotal (95% CI)Heterogeneity: chi2 = 1.11, df = 6 (P = 0.98); I2 = 0%Test for overall effect: Z = 10.27 (P < 0.00001)
5.756.125.746.216.1
6.047.01
1.340.850.991.032.161.351.17
30402052404842
272
6.857.126.867.327.2
7.297.89
1.720.941.041.123.021.421.25
30402052404842
272
2.28.73.47.91.04.45.0
32.6
–1.10 [–1.88, –0.32]–1.00 [–1.39, –0.61]–1.12 [–1.75, –0.49]–1.11 [–1.52, –0.70]–1.10 [–2.25, 0.05]
–1.25 [–1.80, –0.70]–0.88 [–1.40, –0.36]–1.06 [–1.27, –0.86]
1.7.2. Metformin assisted other Western medicine Caixia Wang 2016 Fengling Jiu 2019 Lei Zhang 2019Subtotal (95% CI)Heterogeneity: chi2 = 0.86, df = 2 (P = 0.65); I2 = 0%Test for overall effect: Z = 13.90 (P < 0.00001)
6.025.985.26
1.071.060.57
695260
181
7.487.426.53
1.231.210.82
695260
181
9.17.0
21.137.2
–1.46 [–1.84, –1.08]–1.44 [–1.88, –1.00]–1.27 [–1.52, –1.02]–1.35 [–1.54, –1.16]
1.7.3. Liraglutide Changhong Song 2018Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 3.26 (P = 0.001)
7.04 1.07 3636
7.98 1.36 3636
4.24.2
–0.94 [–1.51, –0.37]–0.94 [–1.51, –0.37]
1.7.4. Repaglinide Wei Li 2015Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 9.57 (P < 0.00001)
6.22 0.49 4242
7.33 0.57 4242
26.026.0
–1.11 [–1.34, –0.88]–1.11 [–1.34, –0.88]
Total (95% CI)Heterogeneity: chi2 = 7.30, df = 11 (P = 0.77); I2 = 0%Test for overall effect: Z = 19.89 (P < 0.00001)Test for subgroup differences: chi2 = 5.32, df = 3 (P = 0.15), I2 = 43.7%
531 531 100.0 –1.18 [–1.29, –1.06]
–4 –2 0 2 4
Favours [experimental] Favours [control]
Figure 6: Forest map of subgroup analysis on the FBG of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus
Evidence-Based Complementary and Alternative Medicine 7
trichosanthin, Rehmannia glutinosa, poria, medlar, Alisma,Schisandra, and yam. Modern pharmacological studies haveshown that ginsenoside can repair islet β cells, promoteinsulin release, and can inhibit alloxan and improve hy-perglycemia [38]. Astragalus can regulate the body’s im-munity, scavenge oxygen free radicals, protect vascular
endothelial cells, increase insulin sensitivity, weaken insulinresistance, and regulate blood lipid and blood glucose. Poriacan lower blood sugar and increase the function of islet βcells. Studies have shown that the use of poria can increasethe antioxidant capacity of kidneys in type 2 diabetic miceand plays a protective role in the kidneys. Ginseng can also
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
Caixia Wang 2016Changhong Song 2018Fengling Jiu 2019Guanghai Liu 2018Hua Yang 2017Lei Zhang 2019Shiyu Chen 2018Wei Li 2015Yanzhao Zhang 2019Yingli Fan 2019Yue Sun 2017Zaiping Wang 2013
Total (95% CI)Heterogeneity: chi2 = 15.03, df = 11 (P = 0.18); I2 = 27%Test for overall effect: Z = 16.07 (P < 0.00001)
6.348.836.4
8.268.456.786.349.536.2110.49.178.97
2.091.541.881.431.341.122.121.033.332.471.782.96
8.5810.958.51
10.159.458.588.62
10.827.7312.9
10.9210.37
2.172.252.031.761.561.442.281.343.813.572.043.15
693652304060524249404842
560
693652304060524249404842
560
8.95.77.96.8
11.121.16.3
17.22.22.57.72.6
100.0
–2.24 [–2.95, –1.53]–2.12 [–3.01, –1.23]–2.11 [–2.86, –1.36]–1.89 [–2.70, –1.08]–1.00 [–1.64, –0.36]–1.80 [–2.26, –1.34]–2.28 [–3.13, –1.43]–1.29 [–1.80, –0.78]–1.52 [–2.94, –0.10]–2.50 [–3.85, –1.15]–1.75 [–2.52, –0.98]–1.40 [–2.71, –0.09]
–1.74 [–1.95, –1.53]
–4 –2 0 2 4
Experimental Control
Figure 7: Forest map of PBG of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
1.8.1. Metformin Guanghai Liu 2018 Hua Yang 2017 Shiyu Chen 2018 Yanzhao Zhang 2019 Yingli Fan 2019 Yue Sun 2017 Zaiping Wang 2013Subtotal (95% CI)Heterogeneity: chi2 = 8.23, df = 6 (P = 0.22); I2 = 27%Test for overall effect: Z = 9.60 (P < 0.00001)
1.8.2. Metformin assisted other Western medicine Caixia Wang 2016 Fengling Jiu 2019 Lei Zhang 2019Subtotal (95% CI)Heterogeneity: chi2 = 1.21, df = 2 (P = 0.55); I2 = 0%Test for overall effect: Z = 11.21 (P < 0.00001)
1.8.3. Liraglutide Changhong Song 2018Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 4.67 (P < 0.00001)
8.83
1.8.4. Repaglinide Wei Li 2015Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 4.95 (P < 0.00001)
9.53 1.03
Total (95% CI)Heterogeneity: chi2 = 15.03, df = 11 (P = 0.18); I2 = 27%Test for overall effect: Z = 16.07 (P < 0.00001)Test for subgroup differences: chi2 = 5.59, df = 3 (P = 0.13), I2 = 46.3%
8.268.456.346.2110.49.178.97
1.431.342.123.332.471.782.96
30405249404842
301
10.159.458.627.7312.9
10.9210.37
1.761.562.283.813.572.043.15
30405249404842
301
6.811.16.32.22.57.72.6
39.2
–1.89 [–2.70, –1.08]–1.00 [–1.64, –0.36]–2.28 [–3.13, –1.43]–1.52 [–2.94, –0.10]–2.50 [–3.85, –1.15]–1.75 [–2.52, –0.98]–1.40 [–2.71, –0.09]–1.66 [–2.00, –1.32]
6.346.4
6.78
2.091.881.12
695260
181
8.588.518.58
2.172.031.44
695260
181
8.97.9
21.137.9
–2.24 [–2.95, –1.53]–2.11 [–2.86, –1.36]–1.80 [–2.26, –1.34]–1.97 [–2.31, –1.62]
1.54 3636
10.95 2.25 3636
5.75.7
–2.12 [–3.01, –1.23]–2.12 [–3.01, –1.23]
4242
10.82 1.34 4242
17.217.2
–1.29 [–1.80, –0.78]–1.29 [–1.80, –0.78]
560 560 100.0 –1.74 [–1.95, –1.53]
–4 –2 0 2 4
Favours [experimental] Favours [control]
Figure 8: Forest map of subgroup analysis on the PBG of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
8 Evidence-Based Complementary and Alternative Medicine
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
Caixia Wang 2016Changhong Song 2018Fengling Jiu 2019Hua Yang 2017Huiping Liu 2017Lei Zhang 2019Shiyu Chen 2018Wei Li 2015Yanzhao Zhang 2019Yingli Fan 2019Yue Sun 2017Zaiping Wang 2013
Total (95% CI)Heterogeneity: chi2 = 17.92, df = 11 (P = 0.08); I2 = 39%Test for overall effect: Z = 18.82 (P < 0.00001)
6.166.426.2
6.358.148.115.967.136.125.7
6.546.72
1.121.231.020.670.920.661.020.681.230.711.581.65
7.577.527.567.149.357.267.358.236.77
77.277.14
1.141.711.140.841.140.791.060.861.550.821.731.77
693652402060524249404842
550
693652402060524249404842
550
9.72.98.0
12.43.3
20.38.6
12.54.5
12.23.12.6
100.0
–1.41 [–1.79, –1.03]–1.10 [–1.79, –0.41]–1.36 [–1.78, –0.94]–0.79 [–1.12, –0.46]–1.21 [–1.85, –0.57]–1.15 [–1.41, –0.89]–1.39 [–1.79, –0.99]–1.10 [–1.43, –0.77]–0.65 [–1.20, –0.10]–1.30 [–1.64, –0.96]–0.73 [–1.39, –0.07]–0.42 [–1.15, –0.31]
–1.13 [–1.24, –1.01]
–2 –1 0 1 2
Experimental Control
Figure 9: Forest map of HbA1c of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, random, 95% CIMean difference
IV, random, 95% CI
1.9.1 Metformin Hua Yang 2017 Huiping Liu 2017 Shiyu Chen 2018 Yanzhao Zhang 2019 Yingli Fan 2019 Yue Sun 2017 Zaiping Wang 2013Subtotal (95% CI)Heterogeneity: tau2 = 0.07; chi2 = 13.15, df = 6 (P = 0.04); I2 = 54%Test for overall effect: Z = 7.11 (P < 0.00001)
Total (95% CI)Heterogeneity: tau2 = 0.07; chi2 = 13.15, df = 6 (P = 0.04); I2 = 54%Test for overall effect: Z = 7.11 (P < 0.00001)Test for subgroup differences: not applicable
6.358.145.966.125.7
6.546.72
0.670.921.021.230.711.581.65
7.149.357.356.77
77.277.14
0.841.141.061.550.821.731.77
19.710.917.412.919.610.49.2
100.0
100.0
40205249404842
291
291
40205249404842
291
291
–0.79 [–1.12, –0.46]–1.21 [–1.85, –0.57]–1.39 [–1.79, –0.99]–0.65 [–1.20, –0.10]–1.30 [–1.64, –0.96]–0.73 [–1.39, –0.07]–0.42 [–1.15, –0.31]–0.98 [–1.25, –0.71]
–0.98 [–1.25, –0.71]
–4 –2 0 2 4
Favours [experimental] Favours [control]
Figure 10: Forest map of subgroup analysis on the HbA1c of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Experimental Control Mean differenceStudy or subgroup
Mean TotalSD SDMean TotalWeight
(%) IV, fixed, 95% CIMean differenceIV, fixed, 95% CI
1.9.2. Metformin assisted other Western medicine Caixia Wang 2016 Fengling Jiu 2019 Lei Zhang 2019Subtotal (95% CI)Heterogeneity: chi2 = 1.52, df = 2 (P = 0.47); I2 = 0%Test for overall effect: Z = 12.97 (P < 0.00001)
1.9.3. Liraglutide Changhong Song 2018Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 3.13 (P = 0.002)
6.166.2
6.11
1.121.020.66
695260
181
7.577.567.26
1.141.140.79
695260
181
18.114.938.071.1
–1.41 [–1.79, –1.03]–1.36 [–1.78, –0.94]–1.15 [–1.41, –0.89]–1.26 [–1.45, –1.07]
6.42 1.23 3636
7.52 1.71 3636
5.45.4
–1.10 [–1.79, –0.41]–1.10 [–1.79, –0.41]
1.9.4. Repaglinide Wei Li 2015Subtotal (95% CI)Heterogeneity: not applicableTest for overall effect: Z = 6.50 (P < 0.00001)
7.13 0.68 4242
259 259 100.0
8.23 0.86 4242
23.523.5
–1.10 [–1.43, –0.77]–1.10 [–1.43, –0.77]
–1.21 [–1.37, –1.05]Total (95% CI)Heterogeneity: chi2 = 2.30, df = 4 (P = 0.68); I2 = 0%Test for overall effect: Z = 14.82 (P < 0.00001)Test for subgroup differences: chi2 = 0.79, df = 2 (P = 0.67); I2 = 0%
–4 –2 0 2 4
Favours [experimental] Favours [control]
Figure 11: Forest map of subgroup analysis on the HbA1c of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Evidence-Based Complementary and Alternative Medicine 9
increase the sensitivity of insulin and effectively regulateblood sugar and blood lipids; in addition, it can increase theantioxidant capacity of the myocardium, protect vascular
endothelial cells, and inhibit cardiomyocyte apoptosis [39].Ophiopogon japonicus has a strong lipid-lowering effect andcan reduce the content of TC in blood [40]. Schisandra can
Experimental Control Risk ratio Risk ratioStudy or subgroup
Events Total Events TotalWeight
(%) M-H, fixed, 95% CI M-H, fixed, 95% CI
Caixia Wang 2016Shiyu Chen 2018Wei Li 2015Yanzhao Zhang 2019
Total (95% CI)Total eventsHeterogeneity: chi2 = 1.86, df = 3 (P = 0.60); I2 = 0%Test for overall effect: Z = 3.43 (P < 0.0006)
0221
5
6848
26
69524249
212
69524249
212
0.08 [0.00,1.34]0.25 [0.06, 1.12]0.50 [0.10, 2.58]0.13 [0.02, 0.96]
0.21 [0.08, 0.51]
24.530.215.130.2
100.0
0.01 0.1 1 10 100
Experimental Control
Figure 12: Forest map of subgroup analysis of adverse reactions of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Experimental Control Risk ratio Risk ratioStudy or subgroup
Events Total Events TotalWeight
(%) M-H, fixed, 95% CI M-H, fixed, 95% CI
1.10.2. Metformin Shiyu Chen 2018 Yanzhao Zhang 2019Subtotal (95% CI)Total eventsHeterogeneity: chi2 = 0.29, df = 1 (P = 0.59); I2 = 0%Test for overall effect: Z = 2.73 (P < 0.006)
1.10.2. Metformin + insulin glargine Caixia Wang 2016Subtotal (95% CI)Total eventsHeterogeneity: not applicableTest for overall effect: Z = 1.76 (P = 0.08)
21
3
0
0
6969
6
6
6969
24.524.5
5249
101
88
16
5249
101
30.230.260.4
0.25 [0.06, 1.12]0.13 [0.02, 0.96]0.19 [0.06, 0.62]
0.08 [0.00, 1.34]0.08 [0.00, 1.34]
1.10.3. Repaglinide Wei Li 2015Subtotal (95% CI)Total eventsHeterogeneity: not applicableTest for overall effect: Z = 0.83 (P = 0.41)
2
2
4242
4
4
4242
15.115.1
0.50 [0.10, 2.58]0.50 [0.10, 2.58]
5212
26212 100.0 0.21 [0.08, 0.51]Total (95% CI)
Total eventsHeterogeneity: chi2 = 1.86, df = 3 (P = 0.60); I2 = 0%Test for overall effect: Z = 3.43 (P < 0.0006)Test for subgroup differences: chi2 = 1.53, df = 2 (P = 0.46), I2 = 0%
0.002 0.1 1 10 500
Favours [experimental] Favours [control]
Figure 13: Forest map of subgroup analysis of adverse reactions of Shenqi Jiangtang granule in the treatment of type 2 diabetes mellitus.
Table 2: Sensitivity analysis of Shenqi Jiangtang granule in treating type 2 diabetes.
Outcomeindicators
Fixed effect model Random effect model Remove big weight Remove small weightMD 95% CI P MD 95% CI P MD 95% CI P MD 95% CI P
Efficient 1.26 [1.18, 1.35] 0.0001 1.26 1.18–1.34 0.0001 1.28 1.19–1.38 0.0001 1.26 1.18–1.35 0.0001
FBG −1.18 [−1.29,−1.06] 0.0001 −1.18 [−1.29,
−1.06] 0.0001 −1.2 [−1.33,−1.07] 0.0001 −1.18 [−1.29,
−1.06] 0.0001
PBG −1.74 [−1.95,−1.53] 0.0001 −1.77 [−2.03,
−1.51] 0.0001 −1.72 [−1.96,−1.48] 0.0001 −1.74 [−1.96,
−1.53] 0.0001
HbA1c −1.13 [−1.24,−1.01] 0.0001 −1.11 [−1.27,
−0.95] 0.0001 −1.1 [−1.28,−0.91] 0.0001 −1.14 [−1.29,
−0.99] 0.0001
Adverse reaction 0.21 [0.08, 0.51] 0.0001 0.24 [0.1, 0.6] 0.0001 0.24 [0.06, 0.92] 0.0001 0.16 [0.05, 0.47] 0.001
10 Evidence-Based Complementary and Alternative Medicine
0.2
0.15
0.1
0.05
0
0.2 0.5 1 2 5
SE (l
og[R
R])
RR
Figure 14: Funnel plot of the total efficacy of SQJT granules compared with conventional medicines.
Meta-analysis of Shenqi Jiangtang granule in treating type 2 diabetes
Patient or population: patients with Type 2 diabetesSettings: Experimental group, control groupIntervention: Shenqi Jiangtang granule + conventional treatment
Outcomes Illustrative comparative risks∗ (95% CI) Relative effect(95% CI)
No.of Participants(studies)
Quality of the evidence(GRADE)
CommentsAssumed riskControl
Corresponding riskShenqi Jiangtang granule + conventional treatment
Efficient Study population
Moderate
731 per 1000 921 per 1000(863 to 980)
731 per 1000 921 per 1000(863 to 980)
RR 1.26(1.18 to 1.34)
818(9 studies) moderate 1
HbA1c �e mean hba1c in the intervention groups was1.11 lower(1.27 to 0.95 lower)
PBG 1120(12 studies) moderate 1
�e mean pbg in the intervention groups was1.77 lower(2.03 to 1.51 lower)
FBG 1062(12 studies) moderate 1
�e mean �g in the intervention groups was1.18 lower(1.29 to 1.06 lower)
1100(12 studies) moderate 1
Adverse reaction rate Study population RR 0.21(0.08 to 0.51)
424(4 studies) moderate 1,2
123 per 1000 26 per 1000(10 to 63)
Moderate
125 per 1000 26 per 1000(10 to 64)
∗�e basis for the assumed risk (e.g the median control group risk acroos studies) is provided in footnotes. �e corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio;
GRADE Working Group grades of evidenceHigh quality: Further research is very unlikely to change our confidence in the estimate of effect.Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.Low quality: Further research is likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.Very low quality: We are very uncertain about the estimate.
1 Blindness is missing in some research articles2 Total population size is less than 400
Figure 15: Grading evaluation chart of evidence quality.
Evidence-Based Complementary and Alternative Medicine 11
inhibit glucosidase and plays a role in lowering blood sugar[41]. 2e combined use of various drugs can play a role inregulating the body and has obvious therapeutic effects onstress hyperglycemia, lipid peroxide after abnormal glucosemetabolism, and insulin-damaging hyperglycemia [42].
In this study, after the intervention of the experimentalgroup through Shenqi Jiangtang granules combined withconventional Western medicine treatment and the controlgroup with only conventional Western medicine treatment,the main outcome indicators showed a treatment trend, butthe improvement of the indicators of the patients in theexperimental group was significantly greater than that of thecontrol group. For the patients in the group, the difference indata was statistically significant (P< 0.05). First, it shows thetherapeutic effect of Western medicine conventional hy-poglycemic drugs on type 2 diabetes and also suggests thatShenqi Jiangtang granules can significantly improve theeffectiveness of clinical treatment based on Western medi-cine treatment and further improve PBG, FBG, HbA1c, andother related indicators.
Limitations in our meta-analysis should be considered asfollows: First of all, the literature was included with lowquality and small sample sizes. Also, the research methodswere not reported in details, thereby making bias risk as-sessment difficult. Particularly, none of the studies providedany detail on single or double blinding and allocationconcealment, which indicated poor quality of the method-ology and led to high risk of selection andmeasurement bias.Secondly, although we adopted an adequate search strategyto minimize publication bias, some potential biases may stillexist because of language restriction. 2irdly, drug safety is akey factor in clinical applications, but only four RCTs de-scribed adverse reactions or events. 2erefore, the safety ofusing Shengqi Jiangtang granule should be validated infuture to bring more convincing evidence. Besides, none ofthe studies reported end-point outcomes such as the inci-dence of type 2 diabetes, fatality rate, and life quality, thusmaking the assessment of the long-term efficacy of ShenqiJiangtang granule difficult, which will affect the furtherdevelopment of drugs.
Findings from this meta-analysis illustrate that ShenqiJiangtang granule in the treatment of type 2 diabetes mellitusmay be effective. Because of the poor methodological qualityand small sample sizes, further validation is essential.2erefore, we recommend the conduction of multicenter,large-sample, and randomized controlled double-blind trialsto provide more accurate and reliable evidence for clinicalresearch.
Data Availability
2e data used to support the findings of this study are in-cluded within the article.
Disclosure
Ruo-Lan Li, Tai-Wei Dong, and Ji-Gang Wei are consideredco-first authors.
Conflicts of Interest
2e authors declare no conflicts of interest.
Authors’ Contributions
Ruo-Lan Li, Tai-Wei Dong, and Ji-Gang Wei contributedequally to this work.
Acknowledgments
2is study was supported by the Subject Innovation Team ofShaanxi University of Chinese Medicine (2019-QN02) andInnovation Team of 2e Second Affiliated Hospital ofShaanxi University of Traditional Chinese Medicine(2020XKTD-A04).
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12 Evidence-Based Complementary and Alternative Medicine
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