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Comparative efficacy of Chinese patent medicines in patients with carotid atherosclerotic plaque: a Bayesian network meta− analysis

Su, Wenquan ; Xie, Xiaolong ; et al.
In: Chinese Medicine, Jg. 18 (2023), Heft 1, S. 1-28
Online academicJournal

Comparative efficacy of Chinese patent medicines in patients with carotid atherosclerotic plaque: a Bayesian network meta− analysis 

Background: Traditional Chinese patent medicines (TCPMs) have been widely used to treat carotid atherosclerotic plaque (CAP) in China. However, systematic evaluation of the clinical efficacy of TCPMs for CAP is still unknown, and the comparative efficacy of different TCPMs is unclear. Objectives: This study aims to compare and rank the effectiveness and safety of different TCPMs in treating CAP using a Bayesian network meta− analysis (NMA). Methods: This NMA was performed according to the Preferred Reporting Items for Systematic Reviews and Meta− Analyses (PRISMA) Extension Statement. Eight databases were searched from their inception to August 2023 for randomized controlled trials (RCTs). The articles regarding eligibility and extracted data were screened independently by two authors. The Cochrane Risk of Bias tool was used to evaluate quality and bias. The change of carotid artery intimal− medial thickness (IMT), carotid maximal plaque area, carotid atherosclerotic plaque Course score, serum lipid levels, CRP, and adverse events rate (AER) were used as outcomes. Data from each RCTs were first pooled using random− effect pairwise meta− analyses and illustrated as odds ratios (ORs) or standardized mean differences (SMDs) with 95% confidence interval (CI). NMAs were performed using Stata17.0 software and the GeMTC package of R software to evaluate the comparative effectiveness of TCPMs, and displayed as ORs or SMDs with 95% CI. A Bayesian hierarchical random− effects model was used to conduct NMAs using the Markov Chain Monte Carlo algorithm. The GRADE partially contextualised framework was applied for NMA result interpretation. Results: NMA included 27 RCT trials with 4131 patients and nine types of TCPMs. Pairwise meta− analyses indicated that Conventional Western medicine (CWM) + TCPM was superior to CWM in reducing the IMT (SMD: − 1.26; 95% CI − 1.59 to − 0.93), the carotid maximal plaque area (SMD − 1.27; 95% CI − 1.71, − 0.82) and the carotid atherosclerotic plaque Course score (SMD − 0.72; 95% CI 95% CI − 1.20, − 0.25). NMAs demonstrated that CWM + Jiangzhiling pill (JZL) with SUCRA 70.6% exhibited the highest effective intervention for reducing IMT. CWM + SXBX (Shexiang baoxin pill) was superior to other TCPMs in reducing the carotid maximal plaque area (83.0%), the atherosclerotic plaque Course score (92.5%), TC (95.6%) and LDL (92.6%) levels. CWM + NXT (Naoxintong capsule), CWM + XS (Xiaoshuang granules/enteric capsule), and CWM + ZBT (Zhibitai) were superior to other CPMs in improving TG (90.1%), HDL (86.1%), and CRP (92.6%), respectively. No serious adverse events were reported. Conclusions: For CAP patients, CWM + XSBX was among the most effective in reducing carotid maximal plaque area, atherosclerotic plaque Course score, TC and LDL levels, and CWM + JZL was the most effective in reducing IMT. Overall, CWM + XSBX may be considered an effective intervention for the treatment of CAP. This study provides reference and evidence for the clinical optimization of TCPM selection in CAP treatment. More adequately powered, well− designed clinical trials to increase the quality of the available evidence are still needed in the future due to several limitations.

Keywords: Traditional Chinese medicine; Chinese patent medicines; Carotid atherosclerotic plaque; Network meta-analysis; Randomized controlled trials

Wenquan Su and Xiaolong Xie contributed equally to this work.

Introduction

Carotid atherosclerotic plaque (CAP) is an important cause of carotid artery stenosis and has a high global prevalence. CAP global prevalence was approximately 21.1% in 2020, equivalent to 815.76 million people, and carotid artery stenosis global prevalence was approximately 1.5%, equivalent to 57.79 million people between the ages of 30 and 79 [[1]]. CAP prevalence between the ages of 30 and 79 was approximately 20.15%, equivalent to 199.83 million people in China [[2]]. The global burden of CAP is expected to increase as populations age, placing a huge burden on health care. Some guidelines have recommended CAP as a potentially useful predictor of coronary events and stroke [[3]]. CAP is an independent risk factor for stroke, and 45–50% of ischemic strokes are associated with bilateral CAP [[4]]. CAP is also detected in up to 80% of ischemic stroke patients [[1]]. According to a study, every 10% increase in plaque burden leads to a 2.26− fold higher risk of stroke recurrence (95% CI 1.03–4.96) [[5]]. Additionally, CAP is an effective predictor for coronary event incidence. A study involving 89 papers with 2,783 patients exhibited that CAP outperforms intimal− medial thickness (IMT) in predicting coronary artery disease, with a summary sensitivity of 80% and a summary specificity of 67%, regardless of the diagnostic technique [[6]]. CAP has become an important global public health concern, increasing the risk of cardiovascular and cerebrovascular disease. CAP increases as the global population ages and is highest among the elderly, significantly increasing the health care burden. However, several studies have discovered that CAP formation can be slowed, stopped, reversed, or even disappear, which has significant implications for improving human health and relieving the medical burden [[7]].

Currently, carotid endarterectomy (CEA), carotid stent placement (CAS), and optimal drug therapy (OMT) are the primary treatments for CAP and carotid artery stenosis [[8]]. Although surgical methods may improve stenosis caused by excessive CAP growth, these invasive treatments always carry surgical risks and complications, such as cervical hematoma, craniofacial nerve injury, cardiovascular events, cerebral hyperperfusion syndrome, and infection, and should be reserved for patients with significant syndromes, high stenosis, or vulnerable plaque. Additionally, a study has demonstrated that CEA reduced the risk of bilateral stroke by only 4.1% at five years compared to OMT [[9]]. Therefore, OMT, as a non− invasive treatment for CAP, is receiving increasing attention [[10]]. Statin is the central drug in OMT to stabilize and reverse atherosclerotic plaque. A three− dimensional ultrasound study to evaluate CAP has demonstrated regression of 90.25 ± 85.12 mm3 in CAP volume after three months of atorvastatin treatment, compared to a progression of 16.81 ± 74.10 mm3 on placebo (P < 0.0001) [[11]]. The effect of statin on reversing CAP progression depends on lowering the low− density lipoprotein cholesterol (LDL− C) levels. Expert consensus has recommended long− term intensive statin therapy to reduce LDL− C to 1.8 mmol/L and significantly increase HDL− C, potentially reversing atherosclerotic plaque, but inducing a 12% increased risk of new diabetes, a 5% increased risk of muscle disease and a two—to three− fold increased risk of severe liver damage [[12]]. An MRI assessment study revealed that statin therapy did not consistently reduce the CAP lipid content. The effect occurred primarily between years one and two, with little further reduction in year three [[13]]. Long− term intensive statin therapy carries a greater risk, especially for patients who use statins cautiously, such as the elderly, those with low body mass, abnormal liver and kidney function, and those with a history of adverse drug reactions. Therefore, there is an urgent need for complementary and alternative drugs to improve drug regimens of OMT further because the efficacy of statins in reversing CAP is not entirely satisfactory.

Traditional Chinese patent medicines (TCPMs) with reliable pharmaceutical ingredients and manufacturing processes have been widely used to treat chronic diseases as an important part of Traditional Chinese medicine (TCM) in China [[14]]. In 2018, a meta− analysis of 12 randomized controlled trials (RCT) articles, including 1,052 CAP patients, demonstrated that combined TCM and Western medicine are superior to Western medicine alone for treating CAP regarding clinical efficacy (OR = 3.07 [1.96, 4.81], P < 0.00001), IMT (OR =—0.09 [become an important global public health concern 0.10, − 0.08], P < 0.00001), course score (OR = − 0.96 [− 1.09, − 0.83], P < 0.00001), and plaque area (OR = − 0.20 [− 0.23, − 0.17], P < 0.00001)[[15]]. Guidelines have recommended that TCPMs combined with conventional Western medicine (CWM) to treat atherosclerotic disease, including coronary arteries, carotid and cerebral arteries [[16]]. Among them, Tongxinluo capsule (TXL), Xiaoshuang granules/enteric capsule (XS), Naoxintong capsule (NXT), Xuesaitong capsule/soft capsule (XST), Jiangzhiling pill (JZL), Pushen capsule (PS), Shexiang baoxin pill (SXBX), Zhibitai (ZBT), and Dengzhan shengmai capsule (DZSM) were approved by the State Food and Drug Administration of China to treat symptoms of cerebrovascular disease, including dizziness, headache, stroke, aphasia, paralysis and fainting. In the treatment of CPA, TCPMs have the functions of tonifying qi, activating blood, resolving stasis, freeing the collateral vessels, resolving phlegm and resolving turbidity. According to Pharmacopoeia of the people's Republic of China 2020, Table 1 presents the details of traditional effects of the included TCPMs. A vast number of randomized controlled trials have reported and published TCPMs for treating CAP [[18]]. However, systematic evaluation of the clinical efficacy of TCPMs for CAP is still unknown, and the comparative effectiveness of different TCPMs is unclear. This study utilizes Bayesian network meta− analysis (NMA) to compare and rank different TCPMs to provide reference and evidence support for the clinical optimization of TCPM selection in CAP treatment.

Table 1 Ingredients and traditional effects of the included TCPMs

TCPMs

Ingredients (pin yin)

Traditional effects

Tongxinluo capsule (TXL)

Panax ginseng C.A.Mey. (Renshen), Hirudo (Shuizhi), Scorpio (Quanxie), Paeonia lactiflora Pall. (Chishao), Cicadae Periostracum (Chantui), Eupolyphaga Steleophaga (Tubie Chong), Scolopendra (Wugong), Santalum album L. (Tanxiang), Dalbergia odorifera T.C.Chen (Jiangxiang), Boswellia ameero Balf.f. (Ruxiang), Ziziphus jujuba Mill. (Suanzao Ren), Cinnamomum camphora (L.) J.Presl (Bingpian)

Tonifying qi, activating blood, freeing the collateral vessels to relieve pain

Xiaoshuang granules/enteric capsule (XS)

Astragalus membranaceus (Fisch.) Bunge (Huangqi), Angelica sinensis (Oliv.) Diels (Danggui), Paeonia lactiflora Pall. (Chishao), Pheretima (Dilong), Ligusticum chuanxiong S.H.Qiu, Y.Q.Zeng, K.Y.Pan, Y.C.Tang & J.M.Xu (Chuanxiong), Prunus persica (L.) Batsch (Taoren), Carthamus tinctorius L. (Honghua)

Tonifying qi, activating blood, freeing the collateral vessels

Naoxintong capsule (NXT)

Astragalus membranaceus (Fisch.) Bunge (Huangqi), Paeonia lactiflora Pall. (Chishao), Salvia miltiorrhiza Bunge (Danshen), Angelica sinensis (Oliv.) Diels (Danggui), Ligusticum chuanxiong S.H.Qiu, Y.Q.Zeng, K.Y.Pan, Y.C.Tang & J.M.Xu (Chuanxiong), Prunus persica (L.) Batsch (Taoren), Carthamus tinctorius L. (Honghua)、Boswellia ameero Balf.f. (Ruxiang), Commiphora myrrha (Nees) Engl. (Moyao), Spatholobus suberectus Dunn (Jixue Teng)、Achyranthes bidentata Blume (Niuxi)、Cinnamomum cassia (L.) J.Presl (Guizhi)、Morus alba L. (Sangzhi)、Pheretima (Dilong)、Scorpio (Quanxie)、Hirudo (Shuizhi)

Tonifying qi, activating blood, resolving stasis, freeing the collateral vessels

Xuesaitong capsule/soft capsule (XST)

Notoginseng Total Saponins (Sanqi Zongzaogan)

Activating blood, resolving stasis, activating collaterals

Jiangzhiling pill (JZL)

Polygonum abbreviatum Kom. (Heshouwu)、Lycium barbarum L. (Gouqizi), Polygonatum kingianum Collett & Hemsl. (Huangjing), Crataegus pinnatifida Bunge (Shanzha), Cassia obtusifolia L. (Juemingzi)

enriching the kidney, nourishing the liver, tonifying blood

Pushen capsule (PS)

Polygonum abbreviatum Kom. (Heshouwu), Typha angustifolia L. (Puhuang), Salvia miltiorrhiza Bunge (Danshen), Ligusticum chuanxiong S.H.Qiu, Y.Q.Zeng, K.Y.Pan, Y.C.Tang & J.M.Xu (Chuanxiong), Paeonia lactiflora Pall. (Chishao), Crataegus pinnatifida Bunge (Shanzha), Alisma orientale (Sam.) Juz. (Zexie)、Codonopsis pilosula (Franch.) Nannf. (Dangshen)

Activating blood, resolving stasis, enriching yin, resolving turbidity

Shexiang baoxin pill (SXBX)

Moschus (Rengong Shengxiang), Ginseng extract (Renshen Tiquwu), Bovis calculus artifactus (Rengong Niuhuang)、Cinnamomum cassia (L.) J.Presl (Rougui)、Liquidambar orientalis Mill. (Suhexiang)、Bufonis venenum (Chansu), Cinnamomum camphora (L.) J.Presl (Bingpian)

Opening the orifices with aroma, tonifying qi

Zhibitai (ZBT)

Crataegus pinnatifida Bunge (Shanzha)、Alisma orientale (Sam.) Juz. (Zexie)、Atractylodes macrocephala Koidz. (Baizhu)、Red rice (Hongqu)

Resolving phlegm, resolving stasis, fortifying the spleen, harmonizing the stomach

Dengzhan shengmai capsule (DZSM)

Erigeron breviscapus (Vaniot) Hand.− Mazz. (Xixin), Panax ginseng C.A.Mey.(Renshen),Schisandra chinensis (Turcz.) Baill. (Wuweizi), Ophiopogon japonicus (Thunb.) Ker Gawl. (Maidong)

Tonifying qi, enriching yin, activating blood

Methods

Protocol and registration

This NMA was performed per the Preferred Reporting Items for Systematic Reviews and Meta− Analyses (PRISMA) Extension Statement [[20]]. This study's protocol was registered in the international prospective register of systematic reviews (PROSPERO) (CRD42022366012).

Eligibility criteria

Study types

RCTs published in Chinese or English, regardless of blinding, publication status, were included.

Participant types

A patient was diagnosed with CAP, including hypertension, coronary atherosclerotic heart disease, and diabetes, using carotid ultrasound [[21]]. Age, gender, race, disease course, region, and nationality were unrestricted.

Intervention types

The experiment group was administrated TCPMs, regardless of dosage and treatment duration, combined with CWM per guidelines. Patients in the control group received CWM with or without a placebo (PBO) of TCPM or CWM plus another TCPM. Considering that patients with CAP were complicated with hyperlipidemia, hypertension, diabetes, coronary heart disease, cerebral infarction and other underlying diseases, the CWM was primarily used against antihypertensive, hypoglycemic, hypolipidemic, and anti− platelet aggregation.

Outcome types

The primary outcome was the change in indicators of carotid artery IMT at the end of treatment. The additional outcomes were the change in the carotid maximal plaque area, carotid atherosclerotic plaque Course score, serum levels of lipids, CRP, and adverse events rate (AER) at the end of treatment.

Exclusion criteria

Studies that met the following criteria were excluded: (1) animal experiments, reviews, meta− analyses, retrospective studies, or case reports; (2) research data with serious errors or no access to the full text after seeking help online or contacting the corresponding author via email; (3) repeated publication (the first published article was retained); (4) studies with incomparable baseline data between the two groups; (5) studies with a high or unclear risk of bias in sequence generation according to the Cochrane Collaboration's risk of bias tool; (6) interventions that were combined with other Chinese herbal medicines or common TCM technology, such as acupuncture, moxibustion, and massage; (7) several cases less than 60.

Search strategy

We searched the following databases from their inception to August 2023. Chinese databases include CNKI, WanFang Data, VIP, and CBM, while English databases include PubMed, Embase, the Cochrane Library, and Web of Science. Additionally, other databases include clinical trial registries (WHO ICTRP, Clinical Trials, and ChiCTR) and Allied and Complementary Medicine Database (AMED). The literature search was constructed around search terms for "Chinese patent medicines", "carotid atherosclerotic plaque", and "randomized controlled trial" and adapted for each database as necessary. Additional file 1 provides a detailed and specific search strategy.

Literature screening and data extraction

We screened the retrieved articles during the searches and two authors independently conducted a comprehensively assessment of potentially eligible articles according to the inclusion/exclusion criteria. The following data were extracted: author, year of publication, place of conduct, baseline characteristics (sex, age), sample size, intervention(s), comparison(s), course of treatment, and outcome(s). Any disagreement was resolved by discussion until a consensus was reached or by consulting a third author.

Risk of bias assessment

All authors received advanced training and used the Cochrane Risk of Bias tool for quality assessment [[22]]. Each article was assessed independently by two authors. In case of disagreement between the two authors, a discussion was conducted or a third author was asked for advice. Seven items were used to assess biases covering six different domains for each included study. The bias domains and items were selection bias (random sequence generation and allocation concealment), performance bias (blinding of participants and personnel), detection bias (blinding of outcome assessment), attrition bias (incomplete outcome data), reporting bias (selective reporting), and other biases (other sources of bias). Each domain was assigned a risk of bias judgment within the included study using the labels 'low risk' of bias, 'high risk' of bias, or 'unclear' risk of bias.

Statistical analysis

We conducted a head− to− head comparisons pairwise meta− analyses between CWM combined with TCPM and CWM using Review Manager 5.3. We conducted an NMA analysis using Stata17.0 software and the GeMTC package of R software, applying the Markov Chain Monte Carlo algorithm and a Bayesian hierarchical random− effects model [[23]]. The results were presented as odds ratios (ORs) with 95% confidence intervals (CIs) for dichotomous variables, and the standardized mean differences (SMDs) with 95% CIs for continuous variables. If the range of 95% CIs of ORs did not cross 1 and 95% CIs of SMDs did not cross 0, then the differences between the groups would be considered statistically significant. The model was used four chains and 50,000 iterations, with the initial 20,000 iterations discarded as the starting point for annealing to eliminate the influence of initial value [[24]]. Using the surface under the cumulative ranking curve (SUCRA), we sorted the probabilities of different interventions of each outcome [[25]]. We used the node− splitting analysis to separate mixed evidence into direct and indirect evidence, to evaluate the consistency of the model. We also conducted the multi− dimensional efficacy analysis integrate multiple outcomes, and obtain the optimal intervention. Furthermore, we used a comparison− adjusted funnel plot to detect the publication bias of included RCTs [[26]]. The interventions were stratified according to the certainty of evidence supporting their relative efficacy which was graded using the GRADE NMA rating system.

Results

Literature screening

Initially, the search strategy yielded 2,159 articles. Duplication resulted in the removal of 1,308 articles. The remaining 851 articles were filtered further and excluded according to the eligibility and exclusion criteria. After rereading the full texts, 27 studies remained for quantitative synthesis [[27]–[53]]. Figure 1 presents the details of the literature screening process.

Graph: Fig. 1Flowchart of the literature screening process

Study characteristics

There were 25 Chinese articles and two English articles involving 11 interventions. All the articles were conducted in China. Overall, 4,131 patients (2,069 in the experimental control group and 2,062 in the control groups). Nine kinds of CPMs were enrolled: Tongxinluo capsule (TXL), Xiaoshuang granules/enteric capsule (XS), Naoxintong capsule (NXT), Xuesaitong capsule/soft capsule (XST), Jiangzhiling pill (JZL), Pushen capsule (PS), Shexiang baoxin pill (SXBX), Zhibitai (ZBT), and Dengzhan shengmai capsule (DZSM). Table 1 presents the details of ingredients of the included TCPMs. Plant names have been checked with www.theplantlist.org.

Most articles were open− label trials except for two double− blind trials. Both groups were based on CWM, with TCPM addition in the treatment group and PBO addition or blank to the control group, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 6), CWM + XS vs. CWM (n = 2), CWM + NXT vs. CWM (n = 3), CWM + XST vs. CWM (n = 2), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 3), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2). There were no significant differences in gender and age between the study groups with comparable baselines, and most were middle− aged or elderly. Table 2 presents the details of the included study characteristics.

Table 2 Characteristics of the studies included in this network meta− analysis

Study ID

Study design

Sample size (T/C)

Sex (M/F)

Average age

Inventions

Course

Dosage

Outcomes

[52]

RCT

1212 (607/605)

T: 367/240

C: 355/250

T: 61.4 ± 8.4

C: 61.4 ± 8.2

T: CWM + TXL

C: CWM + PBO

24 months

1560 mg bid po

1,2,4,5,6,7,8,9

[40]

RCT

168 (84/84)

T: 56/28

C:55/29

T: 58.6 ± 3.2

C: 59.1 ± 2.7

T: CWM + TXL

C: CWM

6 months

1040 mg tid po

1,2,8

[41]

RCT

64 (32/32)

T: 18/14

C:15/17

T: 57.4 ± 6.7

C: 56.8 ± 7.1

T: CWM + TXL

C: CWM

6 months

1040 mg tid po

1,2,4,5,6,7,8,9

[28]

RCT

106 (53/53)

T: 33/20

C:31/22

T: 62.5 ± 9.8

C: 63.8 ± 9.4

T: CWM + TXL

C: CWM

12 months

780 mg tid po

1,2,3,9

[35]

RCT

60 (30/30)

T: 17/13

C:20/10

T: 58.6 ± 8.3

C: 61.0 ± 7.6

T: CWM + TXL

C: CWM

12 months

780 mg tid po

1,3,4,5,6,7,8,9

[30]

RCT

120 (60/60)

T: 33/27

C:29/31

T: 53.4 ± 12.8

C: 55.8 ± 11.7

T: CWM + TXL

C: CWM

5 months

780 mg tid po

1,2,4,5,6,7,9

[45]

RCT

70 (35/35)

T: 17/18

C:19/16

T: 61.2 ± 11.5

C: 63.5 ± 10.7

T: CWM + TXL

C: CWM

3 months

1040 mg tid po

1,4,5,6,7,8,9

[48]

RCT

90 (45/45)

T: CWM + XS

C: CWM

3 months

400 mg tid po

1

[36]

RCT

192 (96/96)

T: 58/38

C:56/40

T: 62.1 ± 8.3

C: 61.9 ± 8.1

T: CWM + XS

C: CWM

6 months

400 mg tid po

1,4,5,6,7,9

[46]

RCT

110 (55/55)

T: CWM + NXT

C: CWM

6 months

1200 mg tid po

1

[39]

RCT

134 (67/67)

T: 38/29

C:35/32

T: 58.7 ± 12.4

C: 64.3 ± 13.5

T: CWM + NXT

C: CWM

6 months

1200 mg tid po

1,4,5,6,7,8

[31]

RCT

80 (40/40)

T: CWM + NXT

C: CWM

3 months

1600 mg tid po

1,2,8

[34]

RCT

71 (36/35)

T: 21/15

C:20/15

T: 64.8 ± 12.4

C: 64.3 ± 13.5

T: CWM + XST

C: CWM

3 months

100 mg tid po

1,3,9

[38]

RCT

106 (53/53)

T: 30/23

C:31/22

T: 68.0 ± 4.1

C: 68.5 ± 4.3

T: CWM + XST

C: CWM

6 months

100 mg tid po

1,2,4,5,6

[53]

RCT

100 (50/50)

T: 25/25

C:23/27

T: 56.0 ± 10.0

C: 55.0 ± 11.0

T: CWM + JZL

C: CWM

3 months

8000 mg bid po

1,2,4,5,6,7,9

[51]

RCT

186 (94/92)

T: 54/40

C:52/40

T: 68.1 ± 1.4

C: 67.2 ± 1.1

T: CWM + JZL

C: CWM

12 months

1000 mg tid po

1,2,4,5,6,7,9

[49]

RCT

145 (73/72)

T: 45/28

C:45/27

T: 61.1 ± 7.5

C: 61.1 ± 7.5

T: CWM + PS

C: CWM

4 months

1000 mg tid po

1,3,4,5,6,7

[27]

RCT

76 (38/38)

T: 25/13

C:26/12

T: 64.1 ± 4.2

C: 63.3 ± 5.2

T: CWM + PS

C: CWM

12 months

1000 mg tid po

1,2, 4,5,6,7,8,9

[37]

RCT

73 (37/36)

T: CWM + PS

C: CWM

6 months

1000 mg tid po

1,2,4,5,6,7,8,9

[44]

RCT

80 (39/41)

T: 24/15

C:25/16

T: 74.2 ± 15.8

C: 72.7 ± 12.4

T: CWM + SXBX

C: CWM

6 months

450 mg tid po

1,2,3,4,5,6,7,8,9

[32]

RCT

116 (58/58)

T: 32/26

C:33/25

T: 66.0 ± 8.2

C: 65.2 ± 8.0

T: CWM + SXBX

C: CWM

3 months

450 mg tid po

1,2,4,5,6

[33]

RCT

62 (32/30)

T: 19/13

C:18/12

T: 59.0 ± 7.0

C: 58.0 ± 7.5

T: CWM + SXBX

C: CWM

12 months

450 mg tid po

1,4,5,6,7,9

[47]

RCT

180 (90/90)

T: 50/40

C:52/38

T: 67.9 ± 4.3

C: 68.7 ± 3.7

T: CWM + ZBT

C: CWM

6 months

240 mg bid po

1,3,4,5,6,7,9

[42]

RCT

124 (62/62)

T: 32/30

C:35/27

T: 62.3 ± 7.9

C: 61.6 ± 7.3

T: CWM + ZBT

C: CWM

6 months

480 mg bid po

1,2,4,5,6,7,8,9

[50]

RCT

60 (30/30)

T: 17/13

C:15/15

T: 70.3 ± 9.3

C: 70.2 ± 10.2

T: CWM + ZBT

C: CWM

3 months

240 mg bid po

1,2,3,4,5,6,7

[43]

RCT

150 (75/75)

T: 34/41

C:42/33

T: 64.4 ± 7.5

C: 64.7 ± 6.9

T: CWM + DZSM

C: CWM

12 months

360 mg tid po

1,3,4,5,6,7,9

[29]

RCT

196 (98/98)

T: 47/51

C:50/48

T: 67.8 ± 5.3

C: 68.2 ± 5.4

T: CWM + DZSM

C: CWM

0.5 months

360 mg tid po

1,2,4,5,6,7,9

RCT randomized controlled trial, T treatment group, C control group, M male, F female, CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule. 1.carotid artery intimal− medial thickness (IMT), 2. carotid maximal plaque area, 3. carotid atherosclerotic plaque course score, 4. total cholesterol (TC), 5. Triglyceride (TG), 6. low density lipoprotein (LDL), 7. high density lipoprotein (HDL), 8. C− reactive protein (CRP), 9. adverse events rate (AER)

Risk of bias assessment

All the included trials reported 'randomly allocating' participants, generating random sequences using random number tables or computer− based or lottery methods, so they were evaluated as "low risk." Two trials reported allocation concealment, evaluated as "low risk," and the other studies did not mention allocation concealment and were evaluated as "uncertain risk." One trial reported double− blind trials were evaluated as "low risk," and the other studies did not mention blinding was evaluated as "high risk" or "uncertain risk". All trials had complete data, no selective reporting or other risk bias, and were all evaluated as "low risk." Fig. 2A depicts the risk bias assessment results. Figure 2B provides the detailed and specific risk of bias assessment.

Graph: Fig. 2Risk of bias graph of the included RCT A: the risk of bias graph; B: the risk of bias summary

Outcomes

Pairwise meta-analysis

We conducted eight pairwise meta− analyses comparing the effects of CWM and CWM combined with TCPM on improving the IMT, the carotid maximal plaque area, the carotid atherosclerotic plaque Course score, blood lipids, and CRP (Fig. 3). We assessed the certainty of the evidence for each outcome under the GRADE framework. The quality of the evidence for all of these comparisons was rated as low. The detailed GRADE assessment was presented in Table 3.

Graph: Fig. 3Forest plot of Pairwise meta-analysis. A: IMT; B: carotid maximal plaque area; C: carotid atherosclerotic plaque course score; D: TC; E: TG; F: LDL; G: HDL; H: CRP; IMT carotid artery intimal- medial thickness, TC total cholesterol, TG Triglyceride, LDL low density lipoprotein, HDL high density lipoprotein, CRP C− reactive protein, AER adverse events rate

Table 3 GRADE assessment

Outcome

№ of studies

Certainty assessment

Effect

Certainty

Study design

Risk of bias

Inconsistency

Indirectness

Imprecision

Publication bias

№ of individuals

Rate (95% CI)

< 6 months of course

IMT

10

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1048

SMD − 1.39 (− 1.96, − 0.82)

⨁⨁◯◯Low

Carotid maximal plaque area

6

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

672

SMD − 1.46 (− 2.26, − 0.66)

⨁⨁◯◯Low

Carotid atherosclerotic plaque course score

2

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

205

SMD − 0.72 (− 1.05, − 0.39)

⨁⨁◯◯Low

TC

7

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

807

SMD − 1.73 (− 2.44, − 1.02)

⨁⨁◯◯Low

TG

7

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

807

SMD − 1.37 (− 1.89, − 0.85)

⨁⨁◯◯Low

LDL

7

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

807

SMD − 1.13 (− 1.56, − 0.69)

⨁⨁◯◯Low

HDL

6

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

691

SMD 1.29 (0.4, 2.18)

⨁⨁◯◯Low

CRP

2

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

150

SMD − 1.35 (− 3.01, 0.31)

⨁⨁◯◯Low

≥ 6 months of course

IMT

16

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1871

SMD − 1.19 (− 1.6, − 0.87)

⨁⨁◯◯Low

Carotid maximal plaque area

9

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

983

SMD − 1.14 (− 1.71, − 0.58)

⨁⨁◯◯Low

Carotid atherosclerotic plaque course score

6

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

647

SMD − 0.71 (− 1.35, − 0.07)

⨁⨁◯◯Low

TC

13

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1487

SMD − 1.01 (− 1.49, − 0.54)

⨁⨁◯◯Low

TG

13

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1487

SMD − 1.06 (− 1.55, − 0.57)

⨁⨁◯◯Low

LDL

13

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1487

SMD − 1.25 (− 1.75, − 0.75)

⨁⨁◯◯Low

HDL

12

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

1381

SMD 0.56 (0.12, 0.99)

⨁⨁◯◯Low

CRP

8

RCT

Serious

Not serious

Not serious

Not serious

Strongly suspected

779

SMD − 0.80 (− 0.95, − 0.66)

⨁⨁◯◯Low

RCT randomized controlled trial

Compared to CWM, CWM combined with TCPM had a stronger effect in reducing the IMT [26 RCTs; SMD − 1.26 (95% CI − 1.59, − 0.93); p < 0.00001; I2 = 94%; low− quality of evidence] (Fig. 3A), decreasing the carotid maximal plaque area [15 RCTs; SMD − 1.27 (95% CI − 1.71, − 0.82); p < 0.00001; I2 = 94%; low− quality of evidence] (Fig. 3B), lowering the carotid atherosclerotic plaque Course score [8 RCTs; SMD − 0.72 (95% CI − 1.20, − 0.25); p < 0.00001; I2 = 91%; low− quality of evidence] (Fig. 3C), lowering the TC [20 RCTs; SMD − 1.26 (95% CI − 1.66, − 0.86); p < 0.00001; I2 = 95%; low− quality of evidence] (Fig. 3D), lowering the TG [20 RCTs; SMD 1.17 (95% CI − 1.53, − 0.81); p < 0.00001; I2 = 94%; low− quality of evidence] (Fig. 3E), lowering the LDL [20 RCTs; SMD − 1.20 (95% CI − 1.55, − 0.85); p < 0.00001; I2 = 93%; low− quality of evidence] (Fig. 3F), raising the HDL [18 RCTs; SMD 0.80 (95% CI 0.38, 1.22); p < 0.00001; I2 = 95%; low− quality of evidence] (Fig. 3G), and lowering the CRP [10 RCTs; SMD − 0.87 (95% CI − 1.11, − 0.64); p = 0.002; I2 = 66%; low− quality of evidence] (Fig. 3H). Substantial heterogeneity was observed in all results.

We conducted sensitivity analysis comparing pooled results from " < 6 months of course" and " ≥ 6 months of course" is illustrated in Fig. 3. There was no significant subgroup difference between the two groups, implying that the difference in length of course did not influence the pooled results on improving the IMT, the carotid maximal plaque area, the carotid atherosclerotic plaque Course score, blood lipids, and CRP.

Network meta− analysis

IMT

A total of 27 RCTs referred to the IMT of nine types of TCPMs and 11 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 6), CWM + XS vs. CWM (n = 2), CWM + NXT vs. CWM (n = 3), CWM + XST vs. CWM (n = 2), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 3), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2) (Table 2). Figure 4A presents the network evidence plot.

Graph: Fig. 4Network diagrams for different outcomes. A: IMT; B: carotid maximal plaque area; C: carotid atherosclerotic plaque course score; D: TC; E: TG; F: LDL; G: HDL; H: CRP; I: AER; CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule, IMT carotid artery intimal- medial thickness, TC total cholesterol, TG Triglyceride, LDL low density lipoprotein, HDL high density lipoprotein, CRP C-reactive protein, AER adverse events rate. The width of the lines represents the proportion of the number of trials for each comparison with the total number of trials, and the size of the nodes represents the proportion of the number of randomized patients (sample sizes)

Compared to CWM, except for CWM + NXT [MD − 0.18 (95% CI − 0.39, 0.03)], CWM + XST [MD − 0.18 (95% CI − 0.43, 0.08)], CWM + PS [MD − 0.17 (95% CI: − 0.39, 0.04)] and CWM + DZSM [MD − 0.09 (95% CI − 0.34, 0.17)], other five TCPMs demonstrated a statistically significant effect in reducing the IMT. Accordingly, other interventions had no statistically significant difference. The details were shown in Table 4.

Table 4 Pairwise league table of IMT (lower− left quadrant) and carotid maximal plaque area (upper− right quadrant)

Carotid maximal plaque area

IMT

CWM + TXL

− 0.16 (− 12.71, 12.42)

0.95 (− 11.56, 13.52)

5.29 (− 5.13, 16.75)

− 1.37 (− 11.09, 8.39)

4.78 (− 4.72, 15.09)

0.50 (− 9.21, 10.22)

− 0.33 (− 12.91, 12.17)

− 2.31 (− 13.55, 9.05)

− 2.06 (− 7.67, 3.52)

0.05 (− 0.25, 0.34)

CWM + XS

− 0.04 (− 0.30, 0.22)

− 0.09 (− 0.41, 0.24)

CWM + NXT

1.12 (− 14.84, 16.91)

5.46 (− 8.71, 20.63)

− 1.21 (− 15.02, 12.58)

4.928 (− 8.56, 19.24)

0.68 (− 13.13, 14.38)

− 0.18 (− 16.041, 15.61)

− 2.16 (− 19.05, 14.76)

− 1.88 (− 13.15, 9.27)

− 0.04 (− 0.33, 0.25)

− 0.09 (− 0.44, 0.27)

0.00 (− 0.33, 0.33)

CWM + XST

4.33 (− 9.76, 19.57)

− 2.31 (− 16.16, 11.51)

3.82 (− 9.57, 18.19)

− 0.44 (− 14.27, 13.28)

− 1.28 (− 17.18, 14.58)

− 3.25 (− 20.25, 13.63)

− 3.00 (− 14.23, 8.23)

0.06 (− 0.24, 0.35)

0.01 (− 0.35, 0.37)

0.10 (− 0.23, 0.43)

0.10 (− 0.26, 0.45)

CWM + JZL

− 6.65 (− 19.49, 5.06)

− 0.50 (− 13.00, 11.75)

− 4.78 (− 17.63, 7.03)

− 5.61 (− 20.86, 8.43)

− 7.58 (− 23.82, 7.55)

− 7.36 (− 17.27, 1.61)

− 0.04 (− 0.30, 0.22)

− 0.09 (− 0.42, 0.24)

− 0.01 (− 0.30, 0.30)

− 0.01 (− 0.34, 0.33)

− 0.10 (− 0.43, 0.23)

CWM + PS

6.15 (− 4.80, 17.95)

1.87 (− 9.39, 13.18)

1.04 (− 12.69, 14.79)

− 0.94 (− 15.89, 13.95)

− 0.68 (− 8.66, 7.26)

0.05 (− 0.21, 0.31)

0.01 (− 0.33, 0.34)

0.09 (− 0.21, 0.40)

0.09 (− 0.24, 0.42)

− 0.01 (− 0.34, 0.32)

0.09 (− 0.21, 0.40)

CWM + SXBX

− 4.27 (− 16.10, 6.66)

− 5.12 (− 19.38, 8.27)

− 7.07 (− 22.47, 7.46)

− 6.83 (− 15.37, 0.91)

− 0.01(− 0.26, 0.26)

− 0.05 (− 0.38, 0.28)

0.03 (− 0.26, 0.34)

0.03 (− 0.29, 0.37)

− 0.06 (− 0.39, 0.27)

0.04 (− 0.26, 0.34)

− 0.06 (− 0.35, 0.25)

CWM + ZBT

− 0.83 (− 14.55, 12.86)

− 2.82 (− 17.69, 12.05)

− 2.56 (− 10.51, 5.44)

− 0.13 (− 0.43, 0.17)

− 0.18 (− 0.54, 0.18)

− 0.09 (− 0.42, 0.24)

− 0.09 (− 0.45, 0.27)

− 0.19 (− 0.55, 0.17)

− 0.09 (− 0.43, 0.25)

− 0.18 (− 0.52, 0.16)

− 0.13 (− 0.47, 0.20)

CWM + DZSM

− 1.99 (− 18.76, 14.96)

− 1.72 (− 12.99, 9.48)

− 0.02 (− 0.37, 0.34)

− 0.06 (− 0.52, 0.39)

0.02 (− 0.41, 0.46)

0.02 (− 0.44, 0.48)

− 0.08 (− 0.54, 0.38)

0.03 (− 0.41, 0.47)

− 0.07 (− 0.50, 0.37)

− 0.01 (− 0.46, 0.42)

0.11 (− 0.35, 0.58)

CWM + PBO

0.27 (− 12.33, 12.80)

0.22 (0.36, 0.07)

0.26 (0.51, − 0.01)

− 0.18 (− 0.39, 0.03)

− 0.18 (− 0.43, 0.08)

− 0.27 (− 0.53, − 0.02)

− 0.17 (− 0.39, 0.04)

− 0.27 (− 0.48, − 0.05)

− 0.21 (− 0.43, − 0.01)

− 0.09 (− 0.34, 0.17)

− 0.20 (− 0.58, 0.19)

CWM

IMT carotid artery medial-intimal thickness, CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule.Data of comparisons for IMT and carotid maximal plaque area are SMD (95% CI). The 95% CI which don't range across 0 favors the column–defining treatment and are showed in bold

According to the SUCRA probability results (Fig. 5A), CWM + JZL was likely the best intervention for reducing the IMT. Table 5 illustrates the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + JZL (70.6%) > CWM + SXBX (70.5%) > CWM + XS (68.6%) > CWM + TXL (57.8%) > CWM + ZBT (56.5%) > CWM + PBO (51.7%) > CWM + XST (48.0%) > CWM + NXT (46.8%) > CWM + PS (46.8%) > CWM + DZSM (27.2%) > > CWM (5.4%).

Graph: Fig. 5Surface under the cumulative ranking curve (SUCRA) plots for different outcomes. The vertical axis represents cumulative probabilities and the horizontal axis represents rank. A: IMT; B: carotid maximal plaque area; C: carotid atherosclerotic plaque course score; D: TC; E: TG; F: LDL; G: HDL; H: CRP; I: AER; CWM conventional western medicine, PBO placebo; TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule, IMT carotid artery intimal-medial thickness, TC total cholesterol, TG Triglyceride, LDL low density lipoprotein, HDL high density lipoprotein, CRP C− reactive protein

Table 5 Pairwise league table of TC (lower− left quadrant) and carotid atherosclerotic plaque course score (upper− right quadrant)

Carotid atherosclerotic plaque course score

TC

CWM + TXL

− 1.47 (− 4.12, 1.20)

− 1.69 (− 3.84, 0.47)

− 0.87 (− 3.51, 1.76)

− 1.00 (− 3.15, 1.16)

− 1.91 (− 4.56, 0.75)

− 1.45 (− 2.99, 0.09)

0.31 (− 0.89, 1.52)

CWM + XS

− 0.28 (− 1.53, 0.97)

− 0.59 (− 2.15, 0.96)

CWM + NXT

− 0.55 (− 1.78, 0.68)

− 0.86 (− 2.40, 0.67)

− 0.27 (− 1.85, 1.29)

CWM + XST

− 0.22 (− 2.87, 2.42)

0.60 (− 2.47, 3.60)

0.47 (− 2.20, 3.09)

− 0.44 (− 3.50, 2.60)

0.02 (− 2.17, 2.18)

− 0.01 (− 0.94, 0.94)

− 0.32 (− 1.64, 1.01)

0.28 (− 1.08, 1.64)

0.55 (− 0.79, 1.90)

CWM + JZL

0.01 (− 0.84, 0.84)

− 0.31 (− 1.57, 0.93)

0.28 (− 1.02, 1.57)

0.56 (− 0.73, 1.82)

0.01 (− 1.01, 1.00)

CWM + PS

0.82 (− 1.81, 3.41)

0.69 (− 1.47, 2.81)

− 0.23 (− 2.86, 2.45)

0.24 (− 1.28, 1.74)

0.75 (− 0.08, 1.58)

0.43 (− 0.80, 1.67)

1.02 (− 0.26, 2.31)

1.30 (0.03, 2.57)

0.75 (− 0.25, 1.73)

0.74 (− 0.14, 1.64)

CWM + SXBX

− 0.13 (− 2.75, 2.49)

− 1.03 (− 4.07, 2.03)

− 0.58 (− 2.71, 1.57)

0.11 (− 0.72, 0.95)

− 0.21 (− 1.44, 1.04)

0.38 (− 0.89, 1.68)

0.66 (− 0.60, 1.93)

0.11 (− 0.88, 1.10)

0.10 (− 0.78, 1.01)

− 0.64 (− 1.52, 0.25)

CWM + ZBT

− 0.91 (− 3.56, 1.75)

− 0.45 (− 1.95, 1.08)

− 0.45 (− 1.40, 0.48)

− 0.77 (− 2.09, 0.54)

− 0.17 (− 1.53, 1.17)

0.10 (− 1.25, 1.44)

− 0.45 (− 1.55, 0.61)

− 0.46 (− 1.45, 0.54)

− 1.20 (− 2.19, − 0.23)

− 0.56 (− 1.56, 0.41)

CWM + DZSM

0.46 (− 1.72, 2.62)

− 0.13 (− 1.21, 0.94)

− 0.45 (− 2.06, 1.17)

0.15 (− 1.50, 1.79)

0.42 (− 1.22, 2.05)

− 0.13 (− 1.56, 1.30)

− 0.14 (− 1.49, 1.23)

− 0.88 (− 2.23, 0.48)

− 0.24 (− 1.61, 1.12)

0.32 (− 1.10, 1.75)

CWM + PBO

− 0.58 (− 1.14, − 0.03)

− 0.90 (− 1.97, 0.17)

− 0.30 (− 1.43, 0.82)

− 0.03 (− 1.13, 1.07)

− 0.58 (− 1.35, 0.18)

− 0.59 (− 1.22, 0.06)

− 1.33 (− 1.95, − 0.70)

− 0.69 (− 1.32, − 0.07)

− 0.13 (− 0.88, 0.64)

− 0.45 (− 1.66, 0.75)

CWM

TC total cholesterol, CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule.Data of comparisons for TC and carotid atherosclerotic plaque course score are SMD (95% CI). The 95% CI which don't range across 0 favors the column-defining treatment and are showed in bold

Carotid maximal plaque area

A total of 16 RCTs referred to the carotid maximal plaque area of eight types of TCPMs and 10 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 4), CWM + NXT vs. CWM (n = 1), CWM + XST vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 2), CWM + SXBX vs. CWM (n = 2), CWM + ZBT vs. CWM (n = 2), and CWM + DZSM vs. CWM (n = 1) (Table 2). Figure 4B presents the network evidence plot. All interventions had no statistically significant difference. The details were shown in Table 4.

According to the SUCRA probability results (Fig. 5B), CWM + SXBX was the most likely the best intervention for reducing the carotid maximal plaque area. Table 8 presents the detailed SUCRA and ranking probability. The ranking of interventions was as follows: CWM + SXBX (83.0%) > CWM + JZL (82.7%) > CWM + XST (53.1%) > CWM + ZBT (52.0%) > CWM + TXL (48.4%) > CWM + NXT (45.3%) > CWM + DZSM (44.7%) > CWM + PS (35.0%) > CWM + PBO (31.1%) > CWM (24.8%).

Carotid atherosclerotic plaque course score

Eight RCTs referred to the carotid atherosclerotic plaque Course score of six types of TCPMs and seven types of interventions, including CWM + TXL vs. CWM (n = 2), CWM + XST vs. CWM (n = 1), CWM + PS vs. CWM (n = 1), CWM + SXBX vs. CWM (n = 1), CWM + ZBT vs. CWM (n = 2), and CWM + DZSM vs. CWM (n = 1). (Table 2). Figure 4C presents the network evidence plot. All interventions had no statistically significant differences. The details were shown in Table 5.

According to the SUCRA probability results (Fig. 5C), CWM + XSBX was the most likely the best intervention for lowering the carotid atherosclerotic plaque Course score. Table 8 depicts the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + SXBX (92.5%) > CWM + TXL (85.9%) > CWM + ZBT (61.0%) > CWM + PS (55.0%) > CWM (23.2%) > CWM + XST (22.7%) > CWM + DZSM (9.7%).

TC

A total of 21 RCTs referred to the TC of nine types of TCPMs and 11 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 4), CWM + XS vs. CWM (n = 1), CWM + NXT vs. CWM (n = 1), CWM + XST vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 3), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2). (Table 2). Figure 4D presents the network evidence plot.

CWM + TXL [MD − 0.58 (95% CI − 1.14, − 0.03)], CWM + SXBX [MD − 1.33 (95% CI − 1.95, − 0.70)], and CWM + ZBT [MD − 0.69 (95% CI − 1.32, − 0.07)] had a statistically significant effect on lowering TC compared to CWM. CWM + SXBX [MD − 1.30 (95% CI − 2.57, − 0.03)] had a statistically significant effect on lowering TC compared to CWM + XST. Accordingly, other interventions had no statistically significant differences. The details were shown in Table 5.

According to the SUCRA probability results (Fig. 5D), CWM + XSBX was the most likely the best intervention for lowering TC. Table 8 indicates the detailed SUCRA and ranking probability. The 11 types of interventions were ranked as follows: CWM + SXBX (95.6%) > CWM + XS (73.6%) > CWM + ZBT (63.8%) > CWM + JZL (57.1%) > CWM + TXL (57.0%) > CWM + PS (56.3%) > CWM + PBO (46.9%) > CWM + NXT (37.9%) > CWM + DZSM (24.6%) > CWM + XST (23.2%) > CWM (14.0%).

TG

A total of 21 RCTs referred to the TG of nine types of TCPMs and 11 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 4), CWM + XS vs. CWM (n = 1), CWM + NXT vs. CWM (n = 1), CWM + XST vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 3), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2) (Table 2). Figure 4E presents the network evidence plot.

CWM + NXT [MD − 0.76 (95% CI − 1.35, − 0.17)], CWM + JZL [MD − 0.52 (95% CI − 0.94, − 0.10)] and CWM + SXBX [MD − 0.59 (95% CI − 0.95, − 0.23)] had a statistically significant effect on lowering TG compared to CWM. Consequently, other interventions had no statistically significant differences. The details were shown in Table 6.

Table 6 Pairwise league table of LDL (lower− left quadrant) and TG (upper− right quadrant)

TG

LDL

CWM + TXL

0.17 (− 0.48, 0.83)

0.46 (− 0.20, 1.12)

− 0.25 (− 0.93, 0.43)

0.22 (− 0.30, 0.74)

0.04 (− 0.41, 0.50)

0.29 (− 0.17, 0.76)

− 0.05 (− 0.50, 0.41)

− 0.21 (− 0.72, 0.30)

− 0.02 (− 0.61, 0.57)

− 0.30 (− 0.60, 0.01)

0.31 (− 0.60, 1.22)

CWM + XS

0.29 (− 0.54, 1.12)

− 0.42 (− 1.27, 0.43)

0.05 (− 0.67, 0.77)

− 0.13 (− 0.81, 0.55)

0.12 (− 0.57, 0.80)

− 0.22 (− 0.90, 0.46)

− 0.39 (− 1.10, 0.33)

− 0.19 (− 1.08, 0.69)

− 0.47 (− 1.05, 0.11)

− 0.20 (− 1.11, 0.71)

− 0.51 (− 1.66, 0.64)

CWM + NXT

− 0.71 (− 1.56, 0.14)

− 0.24 (− 0.97, 0.49)

− 0.42 (− 1.10, 0.27)

− 0.17 (− 0.86, 0.52)

− 0.51 (− 1.19, 0.17)

− 0.67 (− 1.40, 0.05)

− 0.48 (− 1.37, 0.40)

− 0.76 (− 1.35, − 0.17)

− 0.36 (− 1.30, 0.58)

− 0.67 (− 1.84, 0.49)

− 0.16 (− 1.33, 1.02)

CWM + XST

0.47 (− 0.28, 1.21)

0.29 (− 0.42, 1.00)

0.54 (− 0.17, 1.25)

0.20 (− 0.51, 0.90)

0.03 (− 0.71, 0.78)

0.23 (− 0.68, 1.13)

− 0.05 (− 0.66, 0.56)

0.20 (− 0.52, 0.93)

− 0.11 (− 1.10, 0.90)

0.40 (− 0.60, 1.41)

0.56 (− 0.46, 1.60)

CWM + JZL

− 0.18 (− 0.72, 0.37)

0.07 (− 0.49, 0.62)

− 0.27 (− 0.82, 0.28)

− 0.43 (− 1.03, 0.16)

− 0.24 (− 1.03, 0.54)

− 0.52 (− 0.94, − 0.10)

− 0.04 (− 0.66, 0.60)

− 0.34 (− 1.28, 0.60)

0.17 (− 0.78, 1.10)

0.33 (− 0.64, 1.29)

− 0.23 (− 0.99, 0.51)

CWM + PS

0.25 (− 0.25, 0.75)

− 0.09 (− 0.58, 0.40)

− 0.26 (− 0.80, 0.29)

− 0.06 (− 0.82, 0.68)

− 0.34 (− 0.69, 0.01)

0.53 (− 0.11, 1.16)

0.22 (− 0.72, 1.16)

0.73 (− 0.22, 1.67)

0.90 (− 0.09, 1.85)

0.33 (− 0.44, 1.08)

0.57 (− 0.11, 1.24)

CWM + SXBX

− 0.34 (− 0.84, 0.16)

− 0.50 (− 1.05, 0.04)

− 0.31 (− 1.07, 0.44)

− 0.59 (− 0.95, − 0.23)

0.12 (− 0.49, 0.76)

− 0.19 (− 1.11, 0.76)

0.32 (− 0.61, 1.28)

0.49 (− 0.47, 1.47)

− 0.07 (− 0.83, 0.69)

0.16 (− 0.50, 0.84)

− 0.41 (− 1.07, 0.29)

CWM + ZBT

− 0.16 (− 0.70, 0.37)

0.03 (− 0.72, 0.77)

− 0.25 (− 0.60, 0.09)

− 0.33 (− 1.03, 0.38)

− 0.64 (− 1.62, 0.35)

− 0.13 (− 1.12, 0.87)

0.04 (− 0.98, 1.05)

− 0.53 (− 1.35, 0.29)

− 0.29 (− 1.03, 0.45)

− 0.86 (− 1.60, − 0.11)

− 0.45 (− 1.20, 0.27)

CWM + DZSM

0.19 (− 0.59, 0.97)

− 0.09 (− 0.50 0.33)

− 0.07 (− 0.88, 0.73)

− 0.38 (− 1.59, 0.83)

0.13 (− 1.10, 1.35)

0.29 (− 0.95, 1.52)

− 0.27 (− 1.36, 0.80)

− 0.04 (− 1.07, 0.98)

− 0.61 (− 1.63, 0.42)

− 0.20 (− 1.23, 0.81)

0.26 (− 0.82, 1.31)

CWM + PBO

− 0.28 (− 0.94, 0.39)

− 0.43 (− 0.84, − 0.02)

− 0.74 (− 1.54, 0.07)

− 0.23 (− 1.05, 0.58)

− 0.07 (− 0.91, 0.77)

− 0.63 (− 1.22, − 0.05)

− 0.40 (− 0.87, 0.08)

− 0.96 (− 1.44, − 0.48)

− 0.56 (− 1.04, − 0.09)

− 0.10 (− 0.67, 0.46)

− 0.36 (− 1.26, 0.55)

CWM

LDL low density lipoprotein, TG riglyceride, CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule. Data of comparisons for LDL and TG are SMD (95% CI). The 95% CI which don't range across 0 favors the column-defining treatment and are showed in bold

According to the SUCRA probability results (Fig. 5E), CWM + NXT was the most likely the best intervention for lowering the TG. Table 8 presents the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + NXT (90.1%) > CWM + SXBX (81.1%) > CWM + JZL (72.7%) > CWM + XS (66.1%) > CWM + PS (52.5%) > CWM + TXL (47.0%) > CWM + PBO (44.7%) > CWM + ZBT (41.6%) > CWM + DZSM (22.2%) > CWM + XST (21.9%) > CWM (10.0%).

LDL

A total of 21 RCTs referred to the LDL of nine types of TCPMs and 11 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 4), CWM + XS vs. CWM (n = 1), CWM + NXT vs. CWM (n = 1), CWM + XST vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 3), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2). (Table 2). Figure 4F presents the network evidence plot.

CWM + TXL [MD − 0.43 (95% CI − 0.84, − 0.02)], CWM + JZL [MD − 0.63 (95% CI − 1.22, − 0.05)], CWM + SXBX [MD − 0.96 (95% CI − 1.44, − 0.48)], and CWM + ZBT [MD − 0.56 (95% CI − 1.04, − 0.09)] has a statistically significant effect on lowering LDL compared to CWM. CWM + SXBX [MD − 0.86 (95% CI − 1.60, − 0.11)] had a statistically significant effect on lowering LDL compared to CWM + DZSM. Therefore, other interventions had no statistically significant difference. The details were shown in Table 6.

According to the SUCRA probability results (Fig. 5F), CWM + SXBX was the most likely the best intervention for lowering the LDL. Table 8 depicts the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + SXBX (92.6%) > CWM + XS (76.9%) > CWM + JZL (69.9%) > CWM + ZBT (64.4%) > CWM + TXL (53.5%) > CWM + PS (49.1%) > CWM + PBO (47.0%) > CWM + NXT (35.9%) > CWM + XST (24.9%) > CWM + DZSM (23.5%) > CWM (12.3%).

HDL

A total of 19 RCTs referred to the HDL of eight types of TCPMs and 10 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 4), CWM + XS vs. CWM (n = 1), CWM + NXT vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 3), CWM + SXBX vs. CWM (n = 2), CWM + ZBT vs. CWM (n = 3), and CWM + DZSM vs. CWM (n = 2). (Table 2). Figure 4G presents the network evidence plot.

CWM + TXL [MD 0.34 (95% CI: 0.05, 0.64)] had a statistically significant effect on raising HDL compared to CWM. Thus, no statistically significant difference existed between the other interventions. The details were shown in Table 7.

Table 7 Pairwise league table of HDL (lower-left quadrant) and CRP (upper-right quadrant)

CRP

HDL

CWM + TXL

0.19 (− 1.14, 1.48)

0.23 (− 1.11, 1.51)

− 0.10 (− 1.81, 1.54)

0.31 (− 1.39, 1.94)

− 0.14 (− 1.60, 1.32)

− 0.67 (− 1.45, 0.04)

− 0.18 (− 0.81, 0.46)

CWM + XS

0.18 (− 0.47, 0.83)

0.36 (− 0.44, 1.17)

CWM + NXT

0.04 (− 1.49, 1.57)

− 0.30 (− 2.15, 1.55)

0.11 (− 1.73, 1.96)

− 0.33 (− 2.26, 1.66)

− 0.87 (− 1.95, 0.21)

CWM + XST

− 0.02 (− 0.55, 0.48)

0.16 (− 0.56, 0.84)

− 0.20 (− 0.93, 0.49)

CWM + JZL

0.18 (− 0.27, 0.62)

0.36 (− 0.30, 1.01)

− 0.01 (− 0.67, 0.66)

0.20 (− 0.32, 0.75)

CWM + PS

− 0.34 (− 2.20, 1.51)

0.07 (− 1.78, 1.91)

− 0.37 (− 2.31, 1.61)

− 0.91 (− 1.99, 0.18)

0.30 (− 0.20, 0.80)

0.48 (− 0.22, 1.17)

0.12 (− 0.58, 0.82)

0.32 (− 0.25, 0.92)

0.12 (− 0.40, 0.64)

CWM + SXBX

0.41 (− 1.70, 2.53)

− 0.04 (− 2.21, 2.23)

− 0.57 (− 2.07, 0.94)

0.29 (− 0.16, 0.73)

0.46 (− 0.20, 1.12)

0.10 (− 0.56, 0.76)

0.31 (− 0.21, 0.86)

0.10 (− 0.36, 0.58)

− 0.02 (− 0.54, 0.51)

CWM + ZBT

− 0.44 (− 2.62, 1.79)

− 0.98 (− 2.47, 0.51)

0.19 (− 0.31, 0.69)

0.37 (− 0.32, 1.06)

0.01 (− 0.69, 0.71)

0.21 (− 0.35, 0.81)

0.01 (− 0.51, 0.53)

− 0.11 (− 0.68, 0.46)

− 0.09 (− 0.61, 0.43)

CWM + DZSM

0.04 (− 0.52, 0.61)

0.22 (− 0.63, 1.07)

− 0.14 (− 0.99, 0.72)

0.06 (− 0.68, 0.84)

− 0.14 (− 0.85, 0.58)

− 0.26 (− 1.01, 0.50)

− 0.24 (− 0.96, 0.48)

− 0.15 (− 0.90, 0.60)

CWM + PBO

− 0.53 (− 2.21, 1.07)

0.34 (0.05, 0.64)

0.52 (− 0.05, 1.08)

0.16 (− 0.41, 0.73)

0.36 (− 0.04, 0.80)

0.16 (− 0.17, 0.50)

0.04 (− 0.36, 0.44)

0.06 (− 0.28, 0.39)

0.15 (− 0.25, 0.55)

0.30 (− 0.34, 0.93)

CWM

HDL high density lipoprotein, CRP C-reactive protein, CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule. Data of comparisons for HDL and CRP are SMD (95% CI). The 95% CI which don't range across 0 favors the column− defining treatment and are showed in bold

According to the SUCRA probability results (Fig. 5G), CWM + XS was the most likely the best intervention for improving HDL. Table 8 illustrates the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + XS (86.1%) > CWM + JZL (72.9%) > CWM + TXL (72.9%) > CWM + PBO (62.4%) > CWM + PS (45.6%) > CWM + NXT (45.2%) > CWM + DZSM (43.1%) > CWM + ZBT (28.6%) > CWM + SXBX (26.8%) > CWM (16.4%).

Table 8 Surface under the cumulative ranking curve and ranking probability of different Chinese patent medicines on each outcome

Treatment

IMT

Carotid maximal plaque area

Carotid atherosclerotic plaque course score

TC

TG

LDL

HDL

CRP

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

SUCRA

Rank

CWM

5.40%

11

24.80%

10

23.20%

5

14.00%

11

10.00%

11

12.30%

11

16.40%

10

6.00%

7

CWM + PBO

51.70%

6

31.10%

9

46.90%

7

44.70%

7

47.00%

7

62.40%

4

42.80%

6

CWM + TXL

57.80%

4

48.40%

5

85.9%

2

57.00%

5

47.00%

6

53.50%

5

72.90%

3

52.30%

4

CWM + XS

68.60%

3

73.60%

2

66.10%

4

76.90%

2

86.10%

1

CWM + NXT

46.80%

8

45.30%

6

37.90%

8

90.10%

1

35.90%

8

45.20%

6

64.90%

3

CWM + XST

48.00%

7

53.10%

3

22.70%

6

23.20%

10

21.90%

10

24.90%

9

CWM + JZL

70.60%

1

82.70%

2

57.10%

4

72.70%

3

69.90%

3

72.90%

2

CWM + PS

46.80%

9

35.00%

8

55.00%

4

56.30%

6

52.50%

5

49.10%

6

45.60%

5

67.00%

2

CWM + SXBX

70.50%

2

83.00%

1

92.50%

1

95.60%

1

81.10%

2

92.60%

1

26.80%

9

45.70%

5

CWM + ZBT

56.50%

5

52.00%

4

61.00%

3

63.80%

3

41.60%

8

64.40%

4

28.60%

8

71.30%

1

CWM + DZSM

27.20%

10

44.70%

7

9.70%

7

24.60%

9

22.20%

9

23.50%

10

43.10%

7

CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule, IMT carotid artery intimal-medial thickness, TC total cholesterol, TG Triglyceride, LDL low density lipoprotein, HDL high density lipoprotein, CRP C-reactive protein

CRP

A total of 11 RCTs referred to the CRP of five types of TCPMs and seven types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 5), CWM + NXT vs. CWM (n = 2), CWM + PS vs. CWM (n = 2), CWM + SXBX vs. CWM (n = 1), and CWM + ZBT vs. CWM (n = 1). (Table 2). Figure 4H presents the network evidence plot. All interventions had no statistically significant difference. The details were shown in Table 7.

According to the SUCRA probability results (Fig. 5H), CWM + ZBT was the most likely the best intervention for lowering the CRP. Table 8 presents the detailed SUCRA and ranking probability. The interventions were ranked as follows: CWM + ZBT (71.3%) > CWM + PS (67.0%) > CWM + NXT (64.9%) > CWM + TXL (52.3%) > CWM + SXBX (45.7%) > CWM + PBO (42.8%) > CWM (6.0%).

Safety

A total of 18 RCTs reported the number of the AER of eight types of TCPMs and 10 types of interventions, including CWM + TXL vs. CWM + PBO (n = 1), CWM + TXL vs. CWM (n = 5), CWM + XS vs. CWM (n = 1), CWM + XST vs. CWM (n = 1), CWM + JZL vs. CWM (n = 2), CWM + PS vs. CWM (n = 2), CWM + SXBX vs. CWM (n = 2), CWM + ZBT vs. CWM (n = 2), and CWM + DZSM vs. CWM (n = 2) (Table 2). Figure 4I presents the network evidence plot.

Four studies reported no adverse reactions in the experimental and control groups, while the remaining 14 studies reported 204 cases of adverse reactions. Adverse events included gastrointestinal reactions, such as nausea, discomfort, indigestion, abdominal distension, pain, and diarrhea. Autonomic nervous dysfunction symptoms had dizziness, headache, rash, myalgia, mild hepatic or renal insufficiency, bleeding, and delayed PT. However, most resolved spontaneously without special treatment. The detailed list of adverse reactions was shown in Table 9.

Table 9 Occurrence of adverse reactions

Treatment

Study ID

AEs

Adverse reactions

Response

Treatment group

Control group

CWM + TXL vs. CWM + PBO

Zhang M2019

100

Hepatic insufficiency (seven cases), renal insufficiency (one case), headache (10 cases), stomach discomfort (24 cases), abdominal pain and diarrhea (four cases), bleeding or delayed PT (eight cases), allergic rash or asthma (one case)

Hepatic insufficiency (five cases), renal insufficiency (two cases), headache (11 cases), stomach discomfort (14 cases), abdominal pain and diarrhea (six cases), bleeding or delayed PT (two cases), allergic rash or asthma (one case), mental disorders (one case), insomnia (three cases)

CWM + TXL vs. CWM

Ni ZX2017

7

Gastrointestinal reactions (two cases)

Gastrointestinal reactions (three cases) and mild liver function abnormalities (two cases)

Wang SY2016

0

0

0

Zhu D2016

1

Mild nausea (one case)

0

Huang ZJ2014

13

Nausea and abdominal pain (five cases), dizziness and headache (two cases), skin itch (one case)

Gastrointestinal discomfort (two cases), dizziness, and headache (three cases)

Wang H2011

1

0

Mild liver function abnormalities (one case)

After liver protection and other symptomatic treatment, liver function returned to normal

CWM + XS vs. CWM

Liu HJ2018

3

Mild liver function abnormalities (one case)

Mild liver function abnormalities (two cases)

CWM + XST vs. CWM

Jiang XP2021

1

0

Mild liver function abnormalities (one case)

CWM + JZL vs. CWM

Zhang XL2017

6

Mild liver function abnormalities (four cases)

Mild liver function abnormalities (two cases)

Zhang J2016

0

0

0

CWM + PS vs. CWM

Wang HF2019

0

0

0

Liu J2017

11

Gastrointestinal discomfort (two cases), myalgia (one case), and mild liver function abnormalities (two cases)

Skin itch (one case), gastrointestinal discomfort (one case), myalgia (two cases), and mild liver function abnormalities (two cases)

Two groups of patients with myalgia and mild liver function abnormalities requested a change of medication and abandoned treatment

CWM + SXBX vs. CWM

WangBJ2018

2

Mild liver function abnormalities (two cases)

After liver protection and other symptomatic treatment, liver function returned to normal

JiaLW2004

2

0

Mild upper abdominal discomfort (two cases)

CWM + ZBT vs. CWM

XiaYM2021

23

Abdominal pain and distention (three cases), myalgia (one case), mild liver function abnormalities (one case)

Abdominal pain and distention (five cases), headache (three cases), myalgia (three cases), mild liver function abnormalities (four cases), myocardial enzyme injury (two cases), rash (one case)

PengL2020

2

Gastrointestinal discomfort (two cases)

It resolved spontaneously without special treatment

CWM + DZSM vs. CWM

XuS2022

32

Gastrointestinal discomfort (four cases), tumor (one case), skin rash (one case), myalgia (four cases), herpes zoster (one case)

Bleeding event (four cases), gastrointestinal discomfort (12 cases), tumor (one case), myalgia (three cases), acute cholecystitis (one case)

HuangP2018

0

0

0

CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, DZSM Dengzhan shengmai capsule

Inconsistency test

No closed loops were found in the NMA due to the lack of direct comparison of TCPMs. The inconsistency test could not be carried out. Hence, the results were analyzed using a consistency model.

Publication bias

IMT is the leading indicator for publishing the results of the evaluation applications. The comparison− adjusted funnel plots were plotted to test the publication bias of IMT. When the points in the funnel chart are symmetrical based on the position of the centerline, presenting that there is no publication bias. Figure 6 depicts that the points in the funnel chart are asymmetrical along the center line, indicating the potential presence of publication bias favoring CWM + TCPMs in reducing IMT, as compared to CWM and CWM + PBO.

Graph: Fig. 6Funnel plot of IMT. CWM conventional western medicine, PBO placebo, TXL Tongxinluo capsule, XS Xiaoshuang granules/enteric capsule, NXT Naoxintong capsule, XST Xuesaitong capsule/soft capsule, JZL Jiangzhiling pill, PS Pushen capsule, SXBX Shexiang baoxin pill, ZBT Zhibitai, Dengzhan shengmai capsule

Discussion

OMT, a pharmacotherapy regimen based on statins, is an important non− invasive treatment for CAP. The clinical efficacy of OMT can be improved by adding complementary and alternative medicines [[54]]. In our study, this NMA was based on 27 RCT trials with 4131 patients with CAP. We compared the efficacy and safety of nine kinds of TCPMs, including JZL, SXBX, TXL, ZBT, XS, XST, NXT, PS, and DZSM, combined with CWM with or without placebo of TCPM for improving IMT, carotid maximal plaque area, carotid atherosclerotic plaque Course score, serum lipid levels, and CRP. Pairwise meta− analyses demonstrated that CWM + TCPM was superior to CWM in the treatment of CAP. This study revealed that CWM + JZL was the most likely the best intervention for reducing IMT, and CWM + SXBX exhibited the highest effective intervention for reducing carotid maximal plaque area, and atherosclerotic plaque Course score. Lipids and inflammatory factors contribute to an increase in CAP volume and vulnerability [[55]]. The guideline has recommended that LDL− C and CRP are independent risk factors for atherosclerosis and play important roles in the primary and secondary prevention of atherosclerosis [[56]]. Our study suggested that CWM + XSBX was superior to other TCPMs in decreasing the TC and LDL levels. CWM + NXT and CWM + XS were superior to other TCPMs in reducing TG and increasing HDL, respectively. ​CWM + ZBT was the most likely the best intervention for lowering the CRP. Together, these results implied that CWM + TCPM may be a more effective intervention for patients with CAP than using CWM alone. Of the TCPMs included, SXBX was among the most effective in reducing carotid maxima, atherosclerotic plaque score, TC and LDL levels, and had a more comprehensive advantage. However, the efficacy of XSBX also needs to be evaluated through high− quality, large, double− blind, randomized controlled trials. XSBX still needs to be used with caution. No serious adverse events were reported in the CWM + TCPM and CWM groups. However, adverse events were poorly reported (18/27) in the included studies, and the safety of TCPMs needs further investigation.

Numerous pharmacological studies have also found that TCPMs could improve CAP through multiple targets and signaling pathways. JZL, which traditionally removes dampness and dissolves phlegm, was the best intervention for reducing IMT in this study. Crataegus pinnatifida Bunge, the essential herb of JZL, has anti− atherosclerotic effects by lowering blood lipids, inhibiting oxidative and inflammation, and protecting vascular endothelium [[57]]. According to TCM theory, XSBX has the traditional functions of resuscitation with aromatics, modifying Qi, and activating circulation. XSBX was the optimal drug for reducing the carotid maximal plaque area compared to the other eight CPMs. A pharmacological study also demonstrated that XSBX could markedly decrease atherosclerotic plaque size by inhibiting the arterial wall's inflammation response and lipid accumulation [[58]]. XSBX reduced the inflammation pathways by increasing Mfn2 and decreasing the phosphorylation of p38, JNK, and NF− κB levels. XSBX inhibited lipid influx by reducing SR− A and LOX− 1 and increased lipid efflux by promoting LXRα, ABCA1, and ABCG1. Additionally, XSBX could activate macrophages to improve endothelial cell proliferation, migration, and tubule formation and regulate PI3K/Akt and MAPK/Erk1/2 signaling pathways, thereby promoting angiogenesis [[59]]. Plaque thickness is the principal predictor of carotid stenosis risk. TXL, which traditionally promotes circulation to remove meridional obstructions, was optimal for treating carotid atherosclerotic plaque Course score in nine TCPMs. A study discovered that TXL could inhibit arterial intimal proliferation by reducing the LOX− 1 and improving blood lipids [[60]]. Moreover, several studies have exposed that TXL could improve plaque stability by inhibiting ROS expression and increasing the relative abundance of Alistipes in the gut microbiome [[61]].

This NMA study had several strengths. First, this study was the first to evaluate the comparative efficacy and safety of TCPMs for CAP and to guide optimal medication in a clinical setting. Second, this study set strict inclusion criteria and excluded RCTs with incorrect randomization methods, ensuring methodological quality. Finally, the ranking of TCPMs contributed to the formulation of clinical medication plans.

However, this study still has some limitations. First, the overall quality of the studies included was limited because most studies did not report the allocation concealment and blinding in detail. Additionally, clinical heterogeneity may have occurred due to the diversity of CWM and the various TCPMs dosage and duration, and these results should be interpreted with caution. Finally, assuming that the studies included were mainly conducted among Chinese populations, the external adaptability of the results would be restricted when applied for reference in populations of different countries and regions.

Conclusions

This study aims to evaluate the efficacy of TCPMs in treating CAP based on the characteristics of carotid plaque, blood lipids, inflammatory markers, and adverse reactions to guide the clinical medication of CAP more accurately. CWM + JZL was the most effective in reducing IMT. CWM + SXBX was the most effective in reducing carotid maximal plaque area, and atherosclerotic plaque Course score. CWM + XSBX also significantly reduced TC and LDL levels and outperformed other CPMs. CWM + XSBX may be considered an effective intervention for the treatment of CAP. However, further direct comparisons are warranted. This study provides a more accurate selection of TCPMs in CAP therapy, which may help improve drug regimens of OMT by supplementing complementary and alternative drugs. More adequately powered, well− designed clinical trials to increase the quality of the available evidence are still needed in the future due to several limitations.

Acknowledgements

Not applicable.

Author contributions

WS: formal analysis, data curation, investigation, and writing− original draft; XX: data curation, formal analysis, validation, and writing− original draft; JZ: methodology, investigation, and formal analysis; QF: formal analysis and data curation; ND: formal analysis and data curation; QL: formal analysis and data curation; YD: supervision, conceptualization, and formal analysis; SW: conceptualization, methodology, funding acquisition, and formal analysis.

Funding

This work was supported by the National Natural Science Foundation of China (No. 82174340).

Availability of data and materials

All data supporting this systematic review and meta− analysis are from previously reported studies and datasets, which have been cited.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Supplementary Information

Graph: Additional file 1. Searching strategies.

Abbreviations

• AER

  • Adverse events rate

• CAP

  • Carotid atherosclerotic plaque

• CAS

  • Carotid stent placement

• CEA

  • Carotid endarterectomy

• CRP

  • C− reactive protein

• CWM

  • Conventional western medicine

• DZSM

  • Dengzhan shengmai capsule

• HDL

  • High density lipoprotein

• IMT

  • Carotid artery intimal-medial thickness

• JZL

  • Jiangzhiling pill

• LDL

  • Low density lipoprotein

• NMA

  • Network meta-analysis

• NXT

  • Naoxintong capsule

• OMT

  • Optimal drug therapy

• PBO

• Placebo

• PS

  • Pushen capsule

• RCTs

  • Randomized controlled trials

• SUCRA

  • Surface under the cumulative ranking

• SXBX

  • Shexiang baoxin pill

• TC

  • Total cholesterol

• TCM

  • Traditional Chinese medicine

• TCPMs

  • Traditional Chinese patent medicine

• TG

  • Triglyceride

• TXL

  • Tongxinluo capsule

• XS

  • Xiaoshuang granules/enteric capsule

• XST

  • Xuesaitong capsule/soft capsule

• ZBT

  • Zhibitai
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By Wenquan Su; Xiaolong Xie; Jiping Zhao; Qinhua Fan; Naijia Dong; Qingxiao Li; Yawei Du and Shengxian Wu

Reported by Author; Author; Author; Author; Author; Author; Author; Author

Titel:
Comparative efficacy of Chinese patent medicines in patients with carotid atherosclerotic plaque: a Bayesian network meta− analysis
Autor/in / Beteiligte Person: Su, Wenquan ; Xie, Xiaolong ; Zhao, Jiping ; Fan, Qinhua ; Dong, Naijia ; Li, Qingxiao ; Du, Yawei ; Wu, Shengxian
Link:
Zeitschrift: Chinese Medicine, Jg. 18 (2023), Heft 1, S. 1-28
Veröffentlichung: BMC, 2023
Medientyp: academicJournal
ISSN: 1749-8546 (print)
DOI: 10.1186/s13020-023-00850-5
Schlagwort:
  • Traditional Chinese medicine
  • Chinese patent medicines
  • Carotid atherosclerotic plaque
  • Network meta-analysis
  • Randomized controlled trials
  • Other systems of medicine
  • RZ201-999
Sonstiges:
  • Nachgewiesen in: Directory of Open Access Journals
  • Sprachen: English
  • Collection: LCC:Other systems of medicine
  • Document Type: article
  • File Description: electronic resource
  • Language: English

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