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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
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<issn pub-type="epub">1663-9812</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1612508</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1612508</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
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</article-categories>
<title-group>
<article-title>Qianyang Yuyin Granules for vascular damage in mild-to-moderate hypertensive patients: a systematic review with meta-analysis and trial sequential analysis</article-title>
<alt-title alt-title-type="left-running-head">Zhu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1612508">10.3389/fphar.2025.1612508</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Shidian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<uri xlink:href="https://loop.frontiersin.org/people/3037338"/>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Qiannong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yanlin</given-names>
</name>
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<sup>3</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Fuming</given-names>
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<sup>1</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<label>1</label>
<institution>Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine</institution>, <city>Nanjing</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>The First Clinical Medical College, Nanjing University of Chinese Medicine</institution>, <city>Nanjing</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine</institution>, <city>Nanjing</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Fuming Liu, <email xlink:href="doctor.liufuming@outlook.com">doctor.liufuming@outlook.com</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-19">
<day>19</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1612508</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhu, Wu, Liu and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhu, Wu, Liu and Liu</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>The purpose is to evaluate the clinical efficacy and safety of Qianyang Yuyin Granules in the treatment of vascular damage in essential hypertension systematically.</p>
</sec>
<sec>
<title>Methods</title>
<p>Relevant literature databases include CNKI, Wanfang Data, VIP, CBM, PubMed, Web of Science, Cochrane Library. DeepSeek-V3 was used for AI-assisted retrieval. The time limit for searching was from the establishment of the database to 15 April 2025. Eligible randomized controlled clinical trials were screened according to inclusion and exclusion criteria. Publication bias assessment and quality evaluations were analysed by using the Cochrane Handbook and meta-analysis was performed by using RevMan 5.3 software. Finally, using Trial Sequential Analysis 0.9Beta software to perform the trial sequential analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>21 studies were finally included, with a total sample of 1,419 cases, 728 cases in the experimental group and 691 cases in the control group. Meta-analysis suggested that the trial group using Qianyang Yuyin Granules was effective in lowering PWV-BS [MD &#x3d; &#x2212;0.58, 95%CI: (&#x2212;0.88, &#x2212;0.29), <italic>P</italic> &#x3c; 0.0001], PWV-ES [MD &#x3d; &#x2212;0.79, 95%CI: (&#x2212;1.22, &#x2212;0.36), <italic>P</italic> &#x3d; 0.0003] in the elderly population with essential hypertension (&#x2265;60 years old), lowering inflammatory factor-related indexes including CRP [SMD &#x3d; &#x2212;0.37, 95%CI: (&#x2212;0.58, &#x2212;0.16), <italic>P</italic> &#x3d; 0.0005] and TNF-&#x3b1; [SMD &#x3d; &#x2212;0.44, 95%CI: (&#x2212;0.70, &#x2212;0.18), <italic>P</italic> &#x3d; 0.001], lowering systolic blood pressure [MD &#x3d; &#x2212;3.86, 95%CI: (&#x2212;5.33, &#x2212;2.39), <italic>P</italic> &#x3c; 0.00001] and diastolic blood pressure [MD &#x3d; &#x2212;2.24, 95%CI: (&#x2212;3.39, &#x2212;1.10), <italic>P</italic> &#x3d; 0.0001] were all superior to the control group that only used basic treatment and the differences were statistically significant; The incidence rate of adverse reactions in the experimental group was not statistically significant when compared with that of the control group [OR &#x3d; 0.71, 95%CI: (0.26, 1.93), <italic>P</italic> &#x3d; 0.51]. The sequential analysis further suggested that the addition of Qianyang Yuyin Granules to reduce PWV and CRP in peripheral blood had a precise role.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The addition of Qianyang Yuyin Granules in the treatment of vascular damage in mild-to-moderate essential hypertension can improve the clinical efficacy without increasing the adverse effects of conventional drugs, and has further clinical application value. However, further research with larger scale and stricter quality control is needed.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</ext-link>, identifier CRD42025641482.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypertension</kwd>
<kwd>vascular damage</kwd>
<kwd>Qianyang Yuyin granules</kwd>
<kwd>meta-analysis</kwd>
<kwd>trial sequential analysis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. Jiangsu Province Key R&#x26;D Program Project (No. BE2020683); Jiangsu Province &#x201c;Six Talent Summit&#x201d; Innovative Talent Team Project (No.TD-SWYY-069). The Key Project of Jiangsu Provincial Health and Health Commission (NO. ZD2022001).</funding-statement>
</funding-group>
<counts>
<fig-count count="11"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="18"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Ethnopharmacology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Essential hypertension, a vascular disease primarily characterized by the elevation of systemic arterial blood pressure, frequently causes damage to vital target organs including the heart, brain, and kidneys. Regarding vascular damage, patients exhibit evident vascular endothelial function impairment and reduced carotid artery elastic function in the early stage. This situation further facilitates the development of atherosclerosis in patients (<xref ref-type="bibr" rid="B32">Xiong et al., 2019</xref>) and hastens the process of damage to other target organs. Numerous studies have demonstrated that endothelial cell activation and dysfunction in hypertension are closely associated with inflammation. The levels of inflammatory factors, such as C-reactive protein (CRP) and tumor necrosis factor-&#x3b1; (TNF-&#x3b1;), are positively correlated with hypertension (<xref ref-type="bibr" rid="B9">Fu et al., 2022</xref>). For the diagnosis of vascular damage, measuring the ultra fast imaging pulse wave velocity (UFPWV) can reflect arterial stiffness. UFPWV is sensitive, convenient, and rapid in the early stage. This technique evaluates the degree of arterial elasticity by collecting the pulse wave velocity (PWV) at two phases of a cardiac cycle, namely, the beginning of systole (BS) and the end of systole (ES).</p>
<p>Regarding treatment, current conventional Western antihypertensive drugs, such as angiotensin-converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB), and calcium channel blockers (CCB), have been demonstrated by research to have a certain effect in ameliorating vascular damage (<xref ref-type="bibr" rid="B10">Ghiadoni L, 2016</xref>). These medications not only lower blood pressure effectively but also alleviate the structural and functional damage to blood vessels caused by hypertension. By reducing such vascular impairment, they ultimately lower the risk of cardiovascular and cerebrovascular complications, making them the preferred choice for hypertensive patients with vascular disease. However, their efficacy still remains limited. The integration of traditional Chinese and Western medicine in treatment represents the current mainstream approach in China and has demonstrated favorable clinical efficacy. Numerous studies have indicated that traditional Chinese medical therapies, including classic prescriptions, Chinese patent medicines and acupuncture, can steadily reduce blood pressure, ameliorate related risk factors, and safeguard target organs (<xref ref-type="bibr" rid="B33">Xiong et al., 2023</xref>).</p>
<p>Qianyang Yuyin Granules (QYYYG), a renowned hospital preparation of Jiangsu Province Hospital of Chinese Medicine, originates from Jiangya Yishen Prescription formulated by Professor Tang Shuhua, a distinguished veteran traditional Chinese medicine practitioner. Subsequently, it was improved by Professor Fang Zhuyuan and effectively applied. This preparation is composed of six traditional Chinese medicinal herbs, specifically Herba Bidentis Bipinnatae (<italic>Bidens pilosa L.</italic> , Gui Zhen Cao), Scrophulariae Radix (<italic>Scrophularia ningpoensis Hemsl.</italic> , Xuan Shen), Alismatis Rhizoma [<italic>Alisma plantago-aquatica subsp. Orientale (Sam.) Sam.</italic> , Ze Xie], Polygoni Multiflori Radix [<italic>Reynoutria multiflora (Thunb.) Moldenke</italic>, Zhi He Shou Wu], Corni Fructus (<italic>Cornus officinalis Siebold &#x26; Zucc.</italic> , Shan Zhu Yu), Cyathulae Radix (<italic>Cyathula officinalis K.C.Kuan</italic>, Chuan Niu Xi). Validated by clinical practice and multiple randomized controlled trials, QYYYG has demonstrated efficacy in effectively reducing blood pressure and alleviating vascular damage, particularly in patients with grade 1 and grade 2 hypertension. Compared with conventional Western medicine treatments, QYYYG shows superior therapeutic effects and has been widely applied in clinical practice. However, at present, there is still a lack of validation from large-sample, multi-center, and high-quality clinical trials. Furthermore, there remain controversies in the results of several small-sample clinical trials concerning whether QYYYG can effectively sustain blood pressure reduction, mitigate vascular damage, and regarding potential safety concerns.</p>
<p>This study aims to conduct a systematic evaluation of the clinical efficacy and safety of QYYYG in treating vascular damage associated with essential hypertension via Meta-analysis and sequential analysis. The objective is to offer a more optimal integrated traditional Chinese and Western medicine treatment strategy for patients with hypertension. The overall flow chart of this study is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The overall flow chart.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the study process for Qianyang Yuyin Granules. The theme is hypertension with a treatment effect using small sample RCTs. AI-assisted retrieval is shown with search terms in Chinese and English, leading to databases like PubMed and Web of Science. Identification yields 164 results, screening 38, with 21 included. Analysis involves vascular elasticity, inflammatory factors, and blood pressure. Bias assessment, publication bias, GRADE rating, and trial sequential analysis are also presented.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Study registration</title>
<p>This study was conducted and reported in accordance with the Preferred Reporting Project (PRISMA) guidelines for systematic reviews and meta-analyses (<xref ref-type="bibr" rid="B23">Page et al., 2021</xref>). The study protocol was registered (CRD42025641482) in the International prospective register of systematic reviews (PROSPERO).</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Retrieval strategy</title>
<p>To comprehensively retrieve relevant information, databases such as CNKI, Wanfang Data, VIP, CBM, PubMed, Web of Science, and Cochrane Library were systematically searched. The objective was to identify published randomized controlled trials (RCTs) on the application of QYYYG in treating hypertensive vascular damage. The retrieval time range extended from the inception of each database to 15 April 2025. We combine the large language model to carry out AI-assisted retrieval. Adopt the retrieval keywords obtained by individual retrieval, and ask the DeepSeek-V3 (<ext-link ext-link-type="uri" xlink:href="https://www.deepseek.com/">https://www.deepseek.com/</ext-link>) according to different databases. It is required to synthesize the recall rate and precision rate, generate the specific logical relationship and retrieval formula, and use the recommended retrieval formula for database retrieval. Finally, the retrieved documents are imported into Zotero document management software for management and analysis. For more details on the retrieval strategy, please refer to the <xref ref-type="sec" rid="s12">Supplementary Material</xref>.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Inclusion criteria</title>
<sec id="s2-3-1">
<label>2.3.1</label>
<title>Participants (P)</title>
<p>The study subjects were adult patients with grade 1 or 2 essential hypertension, who met the traditional Chinese medicine syndrome differentiation criteria of liver fire hyperactivity or yin deficiency leading to yang hyperactivity. The diagnostic criteria were based on the &#x201c;Guidelines for the Prevention and Treatment of Hypertension in China (2018 Revision)&#x201d; (<xref ref-type="bibr" rid="B29">Writing Group of 2018 Chinese Guidelines for the Management of Hypertension, 2019</xref>).</p>
</sec>
<sec id="s2-3-2">
<label>2.3.2</label>
<title>Intervention (I) and comparison (C)</title>
<p>For the control group, the basic treatment protocol was implemented. Based on lifestyle modifications, lipid-regulating measures, etc., the primary recommended treatment plan in the &#x201c;Guidelines for the Prevention and Treatment of Hypertension in China (2018 Revision)&#x201d; (<xref ref-type="bibr" rid="B29">Writing Group of 2018 Chinese Guidelines for the Management of Hypertension, 2019</xref>) was followed. Calcium channel blockers (CCB), angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACEI/ARB), or their combinations were utilized. For the experimental group, Qianyang Yuyin Granules (with a specification of 10&#xa0;g per bag, Patent Authorization Number: ZL201010205024.2) were added to the treatment measures already applied to the control group.</p>
</sec>
<sec id="s2-3-3">
<label>2.3.3</label>
<title>Outcome (O)</title>
<p>
<list list-type="simple">
<list-item>
<label>1.</label>
<p>Indicators related to vascular elasticity (PWV-BS, PWV-ES): Aixplorer ultrasound diagnostic system (Supersonic Imagine, France) was used, with the built-in UFPWV examination technology (probe model: SL10-2, frequency range: 1.0&#x2013;2.0&#xa0;MHz, examination mode: Vascular/Carotid) to measure the subjects&#x2019; PWV-BS and PWV-ES. All subjects were placed in a supine position without a pillow, with their necks fully exposed, and measurements were taken separately on the left and right sides. Starting from the aortic arch origin and the innominate artery bifurcation, scans were performed first in transverse section and then in longitudinal section under the gray-scale imaging mode to observe the common carotid artery (CCA) and internal/external carotid arteries. When scanning the intima of the anterior and posterior vessel walls, longitudinal exploration of the long-axis section of the bilateral CCA was conducted to ensure clear imaging. The probe was placed perpendicular to the maximum long-axis section of the CCA, and a section that clearly displayed the adventitia of the CCA anterior wall was selected. The carotid bulb and plaques were avoided, and the probe was kept stationary for 2&#xa0;s to measure PWV. The variation range (&#x394;&#xb1;) was controlled within 10% of the BS or ES value to ensure stable data collection.</p>
</list-item>
<list-item>
<label>2.</label>
<p>Indicators related to inflammatory factors (CRP, TNF-&#x3b1;): before and after treatment, fasting venous blood samples were collected from patients in the early morning and sent to the clinical laboratory for testing.</p>
</list-item>
<list-item>
<label>3.</label>
<p>Blood pressure levels (systolic blood pressure, diastolic blood pressure); under resting conditions, the patient&#x2019;s brachial artery office blood pressure was measured three times, with a 2-min interval between each measurement, and the average value was recorded.</p>
</list-item>
<list-item>
<label>4.</label>
<p>Safety indicators: including blood routine, urine routine, electrocardiogram, liver and kidney function, etc.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-3-4">
<label>2.3.4</label>
<title>Study design (S)</title>
<p>All included studies were randomized controlled trials (RCTs).</p>
</sec>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Exclusion criteria</title>
<p>Studies with duplicate publication or duplicate research data; 2) Studies with incomplete research data and lacking indicators related to vascular damage; 3) Non-randomized controlled trial studies such as reviews, clinical experiences, and animal experiments; 4) Studies whose subjects include patients with grade 3 hypertension, secondary hypertension, or those with severe target organ functional damage, or those complicated with severe diseases of other systems.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Quality evaluation criteria</title>
<p>The Cochrane Risk of Bias Assessment Tool was employed to assess the quality of the studies across seven dimensions: random sequence generation, allocation concealment, blinding of participants and research staff, blinding of outcome assessment, completeness of outcome data, selective reporting, and other potential sources of bias. Two researchers independently and blindly carried out the evaluation and cross-checked the results with each other. In the event of a disagreement, the matter will be referred to a third researcher for discussion and resolution. Subsequently, the final bias proportion diagram and quality assessment diagram will be generated. In addition, GRADEpro is used to evaluate the evidence quality of different indicators.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Data extraction</title>
<p>In accordance with the pre-determined retrieval strategy, two researchers independently and in a blinded manner utilized Zotero software to construct a relevant database for the purposes of studies screening and data extraction. Firstly, through browsing the titles and abstracts, exclude the studies that are evidently irrelevant to QYYYG or are duplicates. Secondly, read the full text meticulously and decide on the included studies based on the inclusion and exclusion criteria. Thirdly, after completing the above steps, cross check the inclusion results and reasons provided by the two researchers, and use Kappa statistic to evaluate consistency. In the event of any disagreement, the issue will be referred to a third researcher for discussion and resolution. Finally, Excel spreadsheets were used for data extraction. The data extraction items included: study title, first author&#x2019;s name, publication year, sample size, mean age, gender distribution, intervention strategies, treatment duration, outcome measures, among others.</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>RevMan 5.3 and TSA 0.9Beta software were used to perform Meta-analysis and trial sequential analysis on the collected research data. The Q-test and I<sup>2</sup>-test were employed to assess the heterogeneity. If the P-value is greater than 0.1 and the I<sup>2</sup> value is less than 50%, it suggests that the heterogeneity is low, and the fixed-effect model should be applied for the analysis. Conversely, if the heterogeneity is high, the random-effect model will be utilized for the analysis. Subgroup analysis will be conducted based on the overall characteristics of the study to identify the sources of heterogeneity. Sensitivity analysis will be conducted using STATA 12.0 software. Meanwhile, Begg&#x2019;s test and Egger&#x2019;s test will be applied to check for the presence of publication bias in this study. Finally, the TSA 0.9Beta software will be used to conduct a further analysis of the studies with low heterogeneity, thereby enhancing the credibility of the results.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Results of studies filtering</title>
<p>In accordance with the pre-formulated retrieval strategy, a total of 164 relevant studies were initially retrieved. Among them, 82 articles were identified as duplicates and thus excluded. Two researchers achieved excellent consistency in screening literature titles and abstracts (Kappa &#x3d; 0.927) and good consistency in full-text screening (Kappa &#x3d; 0.837). Discrepancies in literature selection were resolved through group discussions involving a third researcher, and 21 studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Huang, 2012</xref>; <xref ref-type="bibr" rid="B27">Wang, 2013</xref>; <xref ref-type="bibr" rid="B16">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Chen, 2017</xref>; <xref ref-type="bibr" rid="B4">Du, 2017</xref>; <xref ref-type="bibr" rid="B39">Zhao, 2014</xref>; <xref ref-type="bibr" rid="B18">Ma, 2013</xref>; <xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>; <xref ref-type="bibr" rid="B22">Ning, 2017</xref>; <xref ref-type="bibr" rid="B3">Ding et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Qin, 2020</xref>) were ultimately included in the analysis. The publication years of these studies ranged from 2013 to 2022. The combined sample size of all the included studies was 1,419 cases, with 728 cases in the experimental group and 691 cases in the control group. The detailed filtering process is illustrated in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Studies filtering process.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g002.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the study selection process for a meta-analysis. From 164 identified studies, key databases included CNKI, WanFang, VIP, CBM, Pubmed, Web of Science, and Cochrane Library. No additional studies were found through other channels. Initial filtering through titles and abstracts reduced studies to 82 after excluding duplicates. Further exclusion due to non-clinical reasons and content issues left 38 for full-text review. Final exclusions for indicators, duplicate data, major diseases, and hypertension reduced the count to 21 studies for the meta-analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Included studies table</title>
<p>A total of 21 eligible randomized controlled studies were included, all of which were Chinese-language articles. The basic data are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Basic characteristics of the included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Study (Year)</th>
<th rowspan="2" align="center">Sample size (T/C, n)</th>
<th colspan="2" align="center">Age (<inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:mover accent="true">
<mml:mi mathvariant="normal">X</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> &#xb1; <italic>s</italic>, year)</th>
<th colspan="2" align="center">Gender (Male/Female, n)</th>
<th colspan="2" align="center">Intervention</th>
<th rowspan="2" align="center">Duration</th>
<th rowspan="2" align="center">Outcome</th>
</tr>
<tr>
<th align="center">T</th>
<th align="center">C</th>
<th align="center">T</th>
<th align="center">C</th>
<th align="center">T</th>
<th align="center">C</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<xref ref-type="bibr" rid="B14">Li (2022)</xref>
</td>
<td align="center">39/42</td>
<td align="center">54.46 &#xb1; 8.07</td>
<td align="center">55.52 &#xb1; 8.81</td>
<td align="center">16/23</td>
<td align="center">22/20</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine)</td>
<td align="center">12w</td>
<td align="center">&#x2460;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B2">Dinala Jialiken (2022)</xref>
</td>
<td align="center">37/35</td>
<td align="center">49.66 &#xb1; 11.18<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">47.42 &#xb1; 9.28<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">22/15</td>
<td align="center">17/18</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment</td>
<td align="center">12w</td>
<td align="center">&#x2460;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B35">Xu et al. (2021)</xref>
</td>
<td align="center">40/40</td>
<td align="center">51.56 &#xb1; 10.87</td>
<td align="center">53.58 &#xb1; 10.47</td>
<td align="center">25/15</td>
<td align="center">19/21</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine)</td>
<td align="center">12w</td>
<td align="center">&#x2460;&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B26">Tan et al. (2021)</xref>
</td>
<td align="center">40/40</td>
<td align="center">59.98 &#xb1; 7.88</td>
<td align="center">62.65 &#xb1; 6.97</td>
<td align="center">21/19</td>
<td align="center">24/16</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine)</td>
<td align="center">12w</td>
<td align="center">&#x2460;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B13">Li (2018)</xref>
</td>
<td align="center">53/56</td>
<td align="center">60.83 &#xb1; 12.02</td>
<td align="center">60.09 &#xb1; 11.69</td>
<td align="center">27/26</td>
<td align="center">30/26</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (CCB, ACEI/ARB)</td>
<td align="center">8w</td>
<td align="center">&#x2460;&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B30">Xia (2018)</xref>
</td>
<td align="center">40/40</td>
<td align="center">67.28 &#xb1; 6.50</td>
<td align="center">68.10 &#xb1; 5.49</td>
<td align="center">19/21</td>
<td align="center">21/19</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine, valsartan)</td>
<td align="center">6w</td>
<td align="center">&#x2460;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B12">Li (2013)</xref>
</td>
<td align="center">18/18</td>
<td align="center">68.22 &#xb1; 6.26</td>
<td align="center">66.94 &#xb1; 7.13</td>
<td align="center">6/12</td>
<td align="center">6/12</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, enalapril)</td>
<td align="center">8w</td>
<td align="center">&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B34">Xu (2021)</xref>
</td>
<td align="center">33/33</td>
<td align="center">68.18 &#xb1; 7.04</td>
<td align="center">70.09 &#xb1; 8.55</td>
<td align="center">20/13</td>
<td align="center">18/15</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (CCB, ACEI/ARB)</td>
<td align="center">24w</td>
<td align="center">&#x2461;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B20">Mao (2020)</xref>
</td>
<td align="center">33/35</td>
<td align="center">45.42 &#xb1; 9.09</td>
<td align="center">50.17 &#xb1; 11.96</td>
<td align="center">22/11</td>
<td align="center">20/15</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (CCB, ACEI/ARB)</td>
<td align="center">8w</td>
<td align="center">&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B37">Yan et al. (2022)</xref>
</td>
<td align="center">64/33</td>
<td align="center">66.95 &#xb1; 6.55</td>
<td align="center">66.69 &#xb1; 4.09</td>
<td align="center">22/42</td>
<td align="center">14/19</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment</td>
<td align="center">24w</td>
<td align="center">&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B11">Huang (2012)</xref>
</td>
<td align="center">20/20</td>
<td align="center">62.50 &#xb1; 5.50</td>
<td align="center">61.40 &#xb1; 6.80</td>
<td align="center">8/12</td>
<td align="center">9/11</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, enalapril)</td>
<td align="center">8w</td>
<td align="center">&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B27">Wang (2013)</xref>
</td>
<td align="center">18/20</td>
<td align="center">54.56 &#xb1; 11.54</td>
<td align="center">54.25 &#xb1; 11.57</td>
<td align="center">8/10</td>
<td align="center">10/10</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, enalapril)</td>
<td align="center">8w</td>
<td align="center">&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B16">Liu et al. (2019)</xref>
</td>
<td align="center">30/30</td>
<td align="center">63.20 &#xb1; 7.27</td>
<td align="center">64.30 &#xb1; 6.32</td>
<td align="center">16/14</td>
<td align="center">18/12</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine, valsartan)</td>
<td align="center">24w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B1">Chen (2017)</xref>
</td>
<td align="center">25/14</td>
<td align="center">51.10 &#xb1; 10.44</td>
<td align="center">49.00 &#xb1; 11.82</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (CCB, ACEI/ARB)</td>
<td align="center">24w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B4">Du (2017)</xref>
</td>
<td align="center">30/30</td>
<td align="center">62.50 &#xb1; 11.86</td>
<td align="center">64.80 &#xb1; 11.20</td>
<td align="center">15/15</td>
<td align="center">15/15</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (amlodipine, valsartan)</td>
<td align="center">24w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B39">Zhao (2014)</xref>
</td>
<td align="center">20/20</td>
<td align="center">66.20 &#xb1; 6.29</td>
<td align="center">69.05 &#xb1; 5.94</td>
<td align="center">10/10</td>
<td align="center">11/9</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, valsartan)</td>
<td align="center">8w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B18">Ma (2013)</xref>
</td>
<td align="center">20/20</td>
<td align="center">49.00 &#xb1; 11.82</td>
<td align="center">55.10 &#xb1; 10.44</td>
<td align="center">11/9</td>
<td align="center">10/10</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, enalapril)</td>
<td align="center">6w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B7">Fang et al. (2022b)</xref>
</td>
<td align="center">20/20</td>
<td align="center">73.00 &#xb1; 4.71</td>
<td align="center">73.85 &#xb1; 4.68</td>
<td align="center">14/6</td>
<td align="center">9/11</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (CCB, ACEI/ARB)</td>
<td align="center">12w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B22">Ning (2017)</xref>
</td>
<td align="center">40/40</td>
<td align="center">45.41 &#xb1; 7.59</td>
<td align="center">45.17 &#xb1; 6.53</td>
<td align="center">22/18</td>
<td align="center">19/21</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine)</td>
<td align="center">8w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B3">Ding et al. (2015)</xref>
</td>
<td align="center">80/80</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">28/32</td>
<td align="center">31/29</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic treatment (nifedipine, enalapril)</td>
<td align="center">8w</td>
<td align="center">&#x2462;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B25">Qing (2020)</xref>
</td>
<td align="center">28/25</td>
<td align="center">60.00 &#xb1; 9.59</td>
<td align="center">59.44 &#xb1; 10.55</td>
<td align="center">12/16</td>
<td align="center">10/15</td>
<td align="center">BT &#x2b; QYYYG</td>
<td align="center">Basic Treatment (CCB, ACEI/ARB)</td>
<td align="center">8w</td>
<td align="center">&#x2462;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>represents the estimation of the sample mean and standard deviation (<xref ref-type="bibr" rid="B17">Luo et al., 2017</xref>); T is the experimental group, C is the control group; BT, is the treatment measure for the control group; Outcome indicators: &#x2460;Indicators related to vascular elasticity; &#x2461;Indicators related to inflammatory factors; &#x2462;Blood pressure levels; &#x2463;Safety indicators.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Quality evaluation of the included studies</title>
<p>The Cochrane Risk of Bias Assessment Tool was used to evaluate from the following seven aspects: 1) Random sequence generation: Five studies (<xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>) indicated that the random number table method was used, and a &#x201c;low risk of bias&#x201d; evaluation was made. Three studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B25">Qin, 2020</xref>) indicated that random grouping was carried out using the R statistical software, and a &#x201c;low risk of bias&#x201d; evaluation was made. The remaining 13 studies only mentioned the word &#x201c;random&#x201d;, and the specific randomization method was not described, so an &#x201c;unclear risk of bias&#x201d; evaluation was made; 2) Allocation concealment: None of the 21 studies mentioned allocation concealment, so an &#x201c;unclear risk of bias&#x201d; evaluation was made; 3) Blinding of participants and personnel: Although no studies have mentioned it, due to the lack of development of high fidelity traditional Chinese medicine placebos, they have been evaluated as having a &#x201c;high risk of bias&#x201d;; 4) Blinding of outcome assessment: None of the studies mentioned it, so all studies were evaluated for &#x201c;unclear risk of bias&#x201d;; 5) Incomplete outcome data, 6) Selective reporting: Eight studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B1">Chen, 2017</xref>; <xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>; <xref ref-type="bibr" rid="B25">Qin, 2020</xref>) had cases of loss to follow-up, but the balance between groups was maintained and the reasons were similar. The outcome data of other studies were complete, and there was no selective reporting of results in all studies, so a &#x201c;low risk of bias&#x201d; evaluation was made for all; 7) Other bias: One study (<xref ref-type="bibr" rid="B12">Li, 2013</xref>) had a small sample size and an uneven proportion of male and female samples, so a &#x201c;high risk of bias&#x201d; evaluation was made. For the other studies, other biases were unknown, and an &#x201c;unclear risk of bias&#x201d; evaluation was made. The bias proportion of the included studies is shown in <xref ref-type="fig" rid="F3">Figure 3A</xref>, and the quality evaluation of the included studies is shown in <xref ref-type="fig" rid="F3">Figure 3B</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> Summary of bias risk assessment; <bold>(B)</bold> Detail diagram of bias risk assessment.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g003.tif">
<alt-text content-type="machine-generated">Chart analyzing risk of bias in studies. Part A displays a bar graph with categories: random sequence generation, allocation concealment, blinding, incomplete data, selective reporting, and other bias. Colors indicate risk levels: green for low, yellow for unclear, and red for high. Part B presents a grid with studies labeled on top and bias categories listed. Each cell is color-coded for risk: green with a plus, yellow with a question mark, or red with a circle.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Results of meta-analysis</title>
<sec id="s3-4-1">
<label>3.4.1</label>
<title>Indicators related to vascular elasticity function</title>
<sec id="s3-4-1-1">
<label>3.4.1.1</label>
<title>PWV-BS</title>
<p>A total of 6 RCT studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>) reported the situation of PWV-BS of the left and right common carotid arteries after treatment, involving a total of 502 patients, with 249 in the experimental group and 253 in the control group. The heterogeneity of the left common carotid artery (<italic>P</italic> &#x3d; 0.03, I<sup>2</sup> &#x3d; 60%) and the right common carotid artery (<italic>P</italic> &#x3d; 0.06, I<sup>2</sup> &#x3d; 52%) was relatively large. Considering that age has a great influence on the vascular elasticity function of hypertension patients, stratification was carried out according to the average age of each included study (&#x3c;60 years old, &#x2265;60 years old). After subgroup analysis, the heterogeneity significantly decreased.</p>
<p>In the 3 studies with an average age of &#x2265;60 years old (<xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>), the heterogeneity of PWV-BS of the left common carotid artery was small (<italic>P</italic> &#x3d; 0.90, I<sup>2</sup> &#x3d; 0%), and there was a statistically significant difference between groups [MD &#x3d; &#x2212;0.58, 95%CI (&#x2212;0.88, &#x2212;0.29), <italic>P</italic> &#x3c; 0.0001]; The heterogeneity of PWV-BS of the right common carotid artery was small (<italic>P</italic> &#x3d; 0.88, I<sup>2</sup> &#x3d; 0%), and there was a statistically significant difference between groups [MD &#x3d; &#x2212;0.78, 95%CI (&#x2212;1.11, &#x2212;0.45), <italic>P</italic> &#x3c; 0.00001]. After subgroup analysis, the heterogeneity of different subgroups was significantly reduced, so a fixed-effects model was used for analysis. These two results indicate that in the elderly population, the experimental group with the addition of QYYYG has a better effect in reducing PWV-BS of the left and right common carotid arteries than the control group.</p>
<p>In the other 3 studies with an average age of &#x3c;60 years old (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>), the heterogeneity of PWV-BS of the left common carotid artery was small (<italic>P</italic> &#x3d; 0.62, I<sup>2</sup> &#x3d; 0%), and there was no statistically significant difference between groups [MD &#x3d; 0.15, 95%CI (&#x2212;0.16, 0.46), <italic>P</italic> &#x3d; 0.35]; The heterogeneity of PWV-BS of the right common carotid artery was small (<italic>P</italic> &#x3d; 0.43, I<sup>2</sup> &#x3d; 0%), and there was no statistically significant difference between groups [MD &#x3d; &#x2212;0.12, 95%CI (&#x2212;0.42, 0.17), <italic>P</italic> &#x3d; 0.41]. Given the low level of heterogeneity between the two, a fixed-effects model is similarly employed for the analysis. These two results indicate that in the non-elderly population, the effect of the experimental group in reducing PWV-BS of the left and right common carotid arteries is not obvious for the time being, as shown in <xref ref-type="fig" rid="F4">Figures 4A,B</xref>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> PWV-BS of the left common carotid artery; <bold>(B)</bold> PWV&#x2010;BS of the right common carotid artery.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g004.tif">
<alt-text content-type="machine-generated">Two forest plots, labeled A and B, each with study data divided into subgroups by age. Both plots show mean differences with confidence intervals for experimental and control groups. Plot A indicates a mean difference favoring the control group in older adults and no significant difference in younger adults. Plot B shows similar results with more pronounced mean differences for the older subgroup. Each plot includes heterogeneity statistics and a diamond representing the overall effect size.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-1-2">
<label>3.4.1.2</label>
<title>PWV-ES</title>
<p>A total of 6 RCT studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>) reported the situation of PWV-ES of the left and right common carotid arteries after treatment, involving a total of 502 patients, with 249 in the experimental group and 253 in the control group. The heterogeneity of the left common carotid artery (<italic>P</italic> &#x3d; 0.87, I<sup>2</sup> &#x3d; 0%) was small, while the heterogeneity of the right common carotid artery (<italic>P</italic> &#x3d; 0.02, I<sup>2</sup> &#x3d; 62%) was relatively large. Subgroup analysis was still carried out according to the average age of each included study (&#x3c;60 years old, &#x2265;60 years old). After subgroup analysis, the heterogeneity significantly decreased.</p>
<p>In the 3 studies with an average age of &#x2265;60 years old (<xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>), the heterogeneity of PWV-ES of the left common carotid artery was small (<italic>P</italic> &#x3d; 0.99, I<sup>2</sup> &#x3d; 0%), and there was a statistically significant difference between groups [MD &#x3d; &#x2212;0.79, 95%CI (&#x2212;1.22, &#x2212;0.36), <italic>P</italic> &#x3d; 0.0003]; The heterogeneity of PWV-ES of the right common carotid artery was small (<italic>P</italic> &#x3d; 0.70, I<sup>2</sup> &#x3d; 0%), and there was a statistically significant difference between groups [MD &#x3d; &#x2212;1.10, 95%CI (&#x2212;1.53, &#x2212;0.66), <italic>P</italic> &#x3c; 0.00001]. Using a fixed-effects model for analysis, these two results indicate that in the elderly population, the experimental group with the addition of QYYYG has a better effect in reducing PWV-ES of the left and right common carotid arteries than the control group.</p>
<p>In the other 3 studies with an average age of &#x3c;60 years old (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>), the heterogeneity of PWV-ES of the left common carotid artery was small (<italic>P</italic> &#x3d; 0.72, I<sup>2</sup> &#x3d; 0%), and there was no statistically significant difference between groups [MD &#x3d; &#x2212;0.44, 95%CI (&#x2212;0.90, 0.03), <italic>P</italic> &#x3d; 0.07]; the heterogeneity of PWV-ES of the right common carotid artery was small (<italic>P</italic> &#x3d; 0.21, I<sup>2</sup> &#x3d; 36%), and there was no statistically significant difference between groups [MD &#x3d; &#x2212;0.17, 95%CI (&#x2212;0.58, 0.23), <italic>P</italic> &#x3d; 0.40]. Using a fixed-effects model, these two results indicate that in the non-elderly population, the effect of the experimental group in reducing PWV-ES of the left and right common carotid arteries is not obvious for the time being, as shown in <xref ref-type="fig" rid="F5">Figures 5A,B</xref>.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> PWV-ES of the left common carotid artery; <bold>(B)</bold> PWV&#x2010;ES of the right common carotid artery.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g005.tif">
<alt-text content-type="machine-generated">Forest plots displaying subgroup analyses of experimental versus control groups. Graph A examines average age above and below sixty, detailing studies with mean differences and confidence intervals. Graph B similarly compares subgroups by age, showing pooled results and heterogeneity statistics. Both graphs evaluate favor towards experimental or control, with diamonds indicating combined effect sizes.</alt-text>
</graphic>
</fig>
<p>In conclusion, QYYYG combined with basic treatment can effectively reduce PWV-BS and PWV-ES of the left and right carotid arteries in the elderly population aged &#x2265;60 years old, and has an obvious effect on improving vascular elasticity function. However, there is a significant age distinction. For non-elderly patients aged &#x3c;60 years old, the effect is not significant for the time being.</p>
</sec>
</sec>
<sec id="s3-4-2">
<label>3.4.2</label>
<title>Indicators related to inflammatory factors</title>
<sec id="s3-4-2-1">
<label>3.4.2.1</label>
<title>CRP</title>
<p>A total of 5 RCT studies (<xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>) reported the situation of CRP after treatment, involving a total of 359 patients, with 177 in the experimental group and 182 in the control group. Due to the different detection methods in the studies, the standardized mean difference (SMD) was used. The heterogeneity among the studies was small (<italic>P</italic> &#x3d; 0.56, I<sup>2</sup> &#x3d; 0%). Analysis using the fixed-effects model showed that the experimental group with the addition of QYYYG had a better effect in reducing CRP than the control group, and there was a statistically significant difference between groups [SMD &#x3d; &#x2212;0.37, 95%CI (&#x2212;0.58, &#x2212;0.16), <italic>P</italic> &#x3d; 0.0005], as shown in <xref ref-type="fig" rid="F6">Figure 6A</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<bold>(A)</bold> Analysis results of CRP; <bold>(B)</bold> Analysis results of TNF&#x2010;&#x03B1;.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g006.tif">
<alt-text content-type="machine-generated">Forest plots labeled A and B display meta-analysis results comparing experimental and control groups. Both plots show studies with means, standard deviations, weights, and standard mean differences along with confidence intervals. Plot A includes five studies with a total effect size of -0.37. Plot B includes three studies with a total effect size of -0.44. Both plots indicate no heterogeneity and statistically significant overall effects, favoring the experimental group.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-2-2">
<label>3.4.2.2</label>
<title>TNF-&#x3b1;</title>
<p>A total of 3 RCT studies (<xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>) reported the situation of TNF-&#x3b1; before and after treatment, involving a total of 225 patients, with 111 in the experimental group and 114 in the control group. Due to the different detection methods and units in the studies, the standardized mean difference was used. The heterogeneity among the studies was small (<italic>P</italic> &#x3d; 0.95, I<sup>2</sup> &#x3d; 0%). Analysis using the fixed-effects model showed that the experimental group with the addition of QYYYG had a better effect in reducing TNF-&#x3b1; than the control group, and there was a statistically significant difference between groups [SMD &#x3d; &#x2212;0.44, 95%CI (&#x2212;0.70, &#x2212;0.18), <italic>P</italic> &#x3d; 0.001], as shown in <xref ref-type="fig" rid="F6">Figure 6B</xref>.</p>
</sec>
</sec>
<sec id="s3-4-3">
<label>3.4.3</label>
<title>Blood pressure levels</title>
<sec id="s3-4-3-1">
<label>3.4.3.1</label>
<title>Systolic blood pressure</title>
<p>A total of 18 studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Huang, 2012</xref>; <xref ref-type="bibr" rid="B27">Wang, 2013</xref>; <xref ref-type="bibr" rid="B16">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Chen, 2017</xref>; <xref ref-type="bibr" rid="B4">Du, 2017</xref>; <xref ref-type="bibr" rid="B39">Zhao, 2014</xref>; <xref ref-type="bibr" rid="B18">Ma, 2013</xref>; <xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>; <xref ref-type="bibr" rid="B22">Ning, 2017</xref>; <xref ref-type="bibr" rid="B3">Ding et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Qin, 2020</xref>) reported the treatment situation of systolic blood pressure, involving a total of 1,193 patients, with 615 in the experimental group and 578 in the control group. The heterogeneity among the studies was relatively large (<italic>P</italic> &#x3c; 0.00001, I<sup>2</sup> &#x3d; 70%), so the random-effects model was used for analysis. The Meta-analysis showed that the experimental group with the addition of QYYYG had a better effect in reducing systolic blood pressure than the control group, and there was a statistically significant difference between groups [MD &#x3d; &#x2212;3.86, 95%CI (&#x2212;5.33, &#x2212;2.39), <italic>P</italic> &#x3c; 0.00001], as shown in <xref ref-type="fig" rid="F7">Figure 7A</xref>. The sensitivity analysis of systolic blood pressure indicated that after excluding the studies one by one, all the estimated values of the results were still within the 95%CI of the combined effect size, indicating that the overall results had good stability, as shown in <xref ref-type="fig" rid="F7">Figure 7B</xref>.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>
<bold>(A)</bold> Analysis results of systolic blood pressure; <bold>(B)</bold> The sensitivity analysis of systolic blood pressure.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g007.tif">
<alt-text content-type="machine-generated">Panel A displays a forest plot comparing experimental and control groups across multiple studies, illustrating mean differences with confidence intervals. The overall effect size is -3.86, favoring the experimental group. Panel B shows a funnel plot with studies arranged by confidence interval limits and estimates, offering a visual representation of data distribution and potential publication bias.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-3-2">
<label>3.4.3.2</label>
<title>Diastolic blood pressure</title>
<p>A total of 18 studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Huang, 2012</xref>; <xref ref-type="bibr" rid="B27">Wang, 2013</xref>; <xref ref-type="bibr" rid="B16">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Chen, 2017</xref>; <xref ref-type="bibr" rid="B4">Du, 2017</xref>; <xref ref-type="bibr" rid="B39">Zhao, 2014</xref>; <xref ref-type="bibr" rid="B18">Ma, 2013</xref>; <xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>; <xref ref-type="bibr" rid="B22">Ning, 2017</xref>; <xref ref-type="bibr" rid="B3">Ding et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Qin, 2020</xref>) reported the treatment of diastolic blood pressure, involving a total of 1,193 patients, with 615 in the experimental group and 578 in the control group. There was significant heterogeneity among the studies (<italic>P</italic> &#x3d; 0.0007, I<sup>2</sup> &#x3d; 59%), and the random-effects model was used for analysis. The Meta-analysis showed that the experimental group with the addition of QYYYG had a better effect in reducing diastolic blood pressure than the control group, and there was a statistically significant difference between the groups [MD &#x3d; &#x2212;2.24, 95%CI (&#x2212;3.39, &#x2212;1.10), <italic>P</italic> &#x3d; 0.0001], as shown in <xref ref-type="fig" rid="F8">Figure 8A</xref>. The sensitivity analysis of diastolic blood pressure also indicated that the overall results were stable, as shown in <xref ref-type="fig" rid="F8">Figure 8B</xref>.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>
<bold>(A)</bold> Analysis results of diastolic blood pressure; <bold>(B)</bold> The sensitivity analysis of diastolic blood pressure.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g008.tif">
<alt-text content-type="machine-generated">Panel A shows a forest plot comparing experimental and control groups across different studies, with mean differences and confidence intervals. The overall mean difference is -2.24, favoring the experimental. Panel B displays a funnel plot with estimates and confidence intervals for various studies, indicating potential publication bias.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-4-4">
<label>3.4.4</label>
<title>Safety indicators</title>
<p>A total of 12 studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Huang, 2012</xref>; <xref ref-type="bibr" rid="B27">Wang, 2013</xref>) reported safety analyses, involving a total of 847 patients, with 435 in the experimental group and 412 in the control group. Among them, 7 studies (<xref ref-type="bibr" rid="B2">Dinala Jialiken, 2022</xref>; <xref ref-type="bibr" rid="B35">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Li, 2018</xref>; <xref ref-type="bibr" rid="B30">Xia, 2018</xref>; <xref ref-type="bibr" rid="B20">Mao, 2020</xref>; <xref ref-type="bibr" rid="B37">Yan et al., 2022</xref>) clearly reported that no adverse reactions were observed in either the experimental group or the control group. In 5 studies (<xref ref-type="bibr" rid="B14">Li, 2022</xref>; <xref ref-type="bibr" rid="B12">Li, 2013</xref>; <xref ref-type="bibr" rid="B34">Xu, 2021</xref>; <xref ref-type="bibr" rid="B11">Huang, 2012</xref>; <xref ref-type="bibr" rid="B27">Wang, 2013</xref>), adverse reactions occurred. There were 6 cases in the experimental group, including 3 cases of loose stools, 1 case of mild increase in urine red blood cell count (20&#xa0;U/L), 1 case of positive urine protein, and 1 case of fever. There were 9 cases in the control group, including 1 case of nausea after taking the medicine, 1 case of positive urine protein, 1 case of elevated alanine aminotransferase (99&#xa0;U/L), 1 case of elevated uric acid (614&#xa0;&#x3bc;mol/L), 3 cases of mild headache, and 2 cases of muscle soreness. The heterogeneity among the studies was small (<italic>P</italic> &#x3d; 0.64, I<sup>2</sup> &#x3d; 0%), so a fixed-effects model was used for analysis. Meta-analysis suggested that there was no statistically significant difference in the incidence of adverse reactions between the experimental group with the addition of QYYYG and the control group [OR &#x3d; 0.71, 95%CI (0.26, 1.93), <italic>P</italic> &#x3d; 0.51]. This indicates that the addition of QYYYG on the basis of conventional treatment does not increase the adverse reactions of related drugs and has good clinical safety, as shown in <xref ref-type="fig" rid="F9">Figure 9</xref>.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Forest plot of safety indicators.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g009.tif">
<alt-text content-type="machine-generated">Forest plot showing individual and overall odds ratios with 95% confidence intervals from multiple studies. Studies listed are Di 2022, Huang 2012, Li 2013, Li 2018, Li 2022, Mao 2020, Tan et al. 2021, Wang 2013, Xia 2018, Xu 2021, Xu et al. 2021, and Yan et al. 2022. Some studies show estimable odds ratios while others do not. The overall odds ratio is 0.71, with a confidence. There is no significant heterogeneity.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Publication bias</title>
<p>Among all the outcome indicators, 18 studies reported the systolic blood pressure. Begg&#x2019;s test (P &#x3d; 0.306) and Egger&#x2019;s test (P &#x3d; 0.505) were performed to evaluate publication bias. Both returned P-values exceeding 0.05, indicating no publication bias was present and confirming the robustness of the results. This is illustrated in <xref ref-type="fig" rid="F10">Figure 10</xref>.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>
<bold>(A)</bold> Begg&#x2019;s test; <bold>(B)</bold> Egger&#x2019;s test.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g010.tif">
<alt-text content-type="machine-generated">Panel A shows Begg&#x27;s funnel plot with pseudo ninety-five percent confidence limits, plotting WMD against its standard error, featuring scattered points mostly within limits. Panel B displays Egger&#x27;s publication bias plot, with standardized effect against precision, showing scattered points and a regression line indicating no publication bias.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6">
<label>3.6</label>
<title>GRADE rating</title>
<p>GRADEpro is used to assess the quality of evidence for different indicators. Among them, the indicators with moderate-quality evidence include: PWV (subgroup), CRP, TNF-&#x3b1;, and safety indicators. The indicators with low-quality evidence are: PWV, systolic blood pressure, and diastolic blood pressure. The detailed GRADE assessment results are presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>GRADE rating.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="7" align="center">Quality assessment</th>
<th colspan="2" align="center">No of patients</th>
<th colspan="2" align="center">Effect</th>
<th rowspan="3" align="center">Quality</th>
<th rowspan="3" align="center">Importance</th>
</tr>
<tr>
<th rowspan="2" align="center">No of studies</th>
<th rowspan="2" align="center">Design</th>
<th rowspan="2" align="center">Risk of bias</th>
<th rowspan="2" align="center">Inconsistency</th>
<th rowspan="2" align="center">Indirectness</th>
<th rowspan="2" align="center">Imprecision</th>
<th rowspan="2" align="center">Other considerations</th>
<th rowspan="2" align="center">T</th>
<th rowspan="2" align="center">C</th>
<th align="center">Relative</th>
<th rowspan="2" align="center">Absolute</th>
</tr>
<tr>
<th align="center">(95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">LCCA: PWV-BS (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">6</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">249</td>
<td rowspan="2" align="center">253</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">MD 0.24 lower (0.45&#x2013;0.03 lower)</td>
<td align="center">&#x2295;&#x2295;&#x39f;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">LOW</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">LCCA: PWV-BS(&#x2265;60 years old) (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">3</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious inconsistency</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">133</td>
<td rowspan="2" align="center">136</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">MD 0.58 lower (0.88&#x2013;0.29 lower)</td>
<td align="center">&#x2295;&#x2295;&#x2295;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">MODERATE</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">LCCA: PWV-BS(&#x3c;60 years old) (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">3</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious inconsistency</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">116</td>
<td rowspan="2" align="center">117</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">MD 0.15 higher (0.16 lower to 0.46 higher)</td>
<td align="center">&#x2295;&#x2295;&#x2295;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">MODERATE</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">CRP (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">5</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious inconsistency</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">177</td>
<td rowspan="2" align="center">182</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">SMD 0.37 lower (0.58&#x2013;0.16 lower)</td>
<td align="center">&#x2295;&#x2295;&#x2295;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">MODERATE</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">TNF-&#x3b1; (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">3</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious inconsistency</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">111</td>
<td rowspan="2" align="center">114</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">SMD 0.44 lower (0.7&#x2013;0.18 lower)</td>
<td align="center">&#x2295;&#x2295;&#x2295;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">MODERATE</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">Systolic blood pressure (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">18</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">615</td>
<td rowspan="2" align="center">578</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">MD 3.86 lower (5.33&#x2013;2.39 lower)</td>
<td align="center">&#x2295;&#x2295;&#x39f;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">LOW</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">Diastolic blood pressure (Better indicated by lower values)</td>
</tr>
<tr>
<td rowspan="2" align="center">18</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td rowspan="2" align="center">615</td>
<td rowspan="2" align="center">578</td>
<td rowspan="2" align="center">-</td>
<td rowspan="2" align="center">MD 2.24 lower (3.39&#x2013;1.1 lower)</td>
<td align="center">&#x2295;&#x2295;&#x39f;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">LOW</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="13" align="left">Safety indicators</td>
</tr>
<tr>
<td rowspan="2" align="center">12</td>
<td rowspan="2" align="center">Randomised trials</td>
<td rowspan="2" align="center">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td rowspan="2" align="center">No serious inconsistency</td>
<td rowspan="2" align="center">No serious indirectness</td>
<td rowspan="2" align="center">No serious imprecision</td>
<td rowspan="2" align="center">None</td>
<td align="center">6/435</td>
<td align="center">9/412</td>
<td rowspan="2" align="center">OR 0.71 (0.26&#x2013;1.93)</td>
<td rowspan="2" align="center">6 fewer per 1,000 (from 16 fewer to 19 more)</td>
<td align="center">&#x2295;&#x2295;&#x2295;&#x39f;</td>
<td rowspan="2" align="center">CRITICAL</td>
</tr>
<tr>
<td align="center">(1.4%)</td>
<td align="center">(2.2%)</td>
<td align="center">MODERATE</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Lack of blinding for participants and personnel.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>b</sup>
</label>
<p>High statistical heterogeneity.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-7">
<label>3.7</label>
<title>Trial sequential analysis</title>
<p>The Trial Sequential Analysis (TSA) was carried out using the TSA 0.9Beta software. The type I error probability was set as &#x3b1; &#x3d; 0.05, and the statistical power was set as 80%. Taking the sample size as the required information size (RIS), and the horizontal line of Z &#x3d; 1.96 as the traditional boundary value curve, the TSA was conducted on the data related to the efficacy of vascular damage.</p>
<p>The results of the TSA analysis of the ES value of the left common carotid artery are shown in <xref ref-type="fig" rid="F11">Figure 11A</xref>. The cumulative Z value has successively crossed the traditional boundary value, the TSA boundary value curve, and the RIS line in the first three studies. The results of the TSA analysis of peripheral blood CRP are shown in <xref ref-type="fig" rid="F11">Figure 11B</xref>. It also crossed the traditional boundary value and the TSA boundary value curve, and crossed the RIS line in the third study.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>
<bold>(A)</bold> TSA analysis of the PWV&#x2010;ES value of the left common carotid artery; <bold>(B)</bold> TSA analysis of CRP.</p>
</caption>
<graphic xlink:href="fphar-16-1612508-g011.tif">
<alt-text content-type="machine-generated">Two graphs, labeled A and B, display cumulative Z-scores in blue and red lines against the number of patients. The RIS value of graph A is 261, and the RIS value of graph B is 182. The information content of existing research meets the requirements of RIS.</alt-text>
</graphic>
</fig>
<p>The TSA analysis indicates that the included sample size has reached the sample size required for the Meta-analysis. There is no need for more clinical trials, and it has been definitely concluded that the addition of QYYYG has a better efficacy in reducing the PWV-ES value of the common carotid artery and inflammatory factors.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<sec id="s4-1">
<label>4.1</label>
<title>Hypertension research in TCM</title>
<p>According to the China Hypertension Survey (CHS), it is estimated that the crude prevalence rate of hypertension among adult residents in China from 2012 to 2015 was 27.9% (<xref ref-type="bibr" rid="B28">Wang et al., 2018</xref>), which seriously endangers public health. Modern research shows that traditional Chinese medicine has important advantages in preventing and treating hypertension in terms of enhancing efficacy and reducing side effects, multi-target effects, and long-term stability (<xref ref-type="bibr" rid="B15">Liu et al., 2015</xref>).</p>
<p>QYYYG are composed of six kinds of medicinal herbs, namely, Herba Bidentis Bipinnatae, Scrophulariae Radix, Alismatis Rhizoma, Polygoni Multiflori Radix, Corni Fructus, Cyathulae Radix (<xref ref-type="bibr" rid="B5">Fan et al., 2025</xref>). With three tonifying and three purging herbs, it can achieve the effects of tonifying the healthy qi without leaving the pathogenic factors and purging the pathogenic factors without harming the healthy qi (<xref ref-type="bibr" rid="B40">Zou et al., 2017</xref>). The whole formula combines the functions of attacking and tonifying, harmonizes yin and yang, makes the blood vessels unobstructed, dissipates the heat-toxin, and nourishes the burned blood vessels. Current clinical trials have demonstrated that QYYYG exhibits particularly prominent therapeutic effects in elderly populations. Specifically, QYYYG not only reduces the coefficient of blood pressure variability across all time periods in elderly patients (<xref ref-type="bibr" rid="B21">Ni et al., 2016</xref>) but also ameliorates early renal damage and renal fibrosis (<xref ref-type="bibr" rid="B6">Fang et al., 2022a</xref>). Additionally, it can delay the aging process by enhancing energy metabolism, mitigating DNA oxidative damage, and maintaining the balance of inflammatory factors (<xref ref-type="bibr" rid="B8">Fang et al., 2025</xref>). These unique effects in the elderly population are closely associated with age-related physiological changes, including decreased vascular elasticity, increased arterial stiffness, neurohumoral regulatory imbalance, and the accumulation of multiple risk factors.</p>
<p>Clinical pharmacological studies have demonstrated that QYYYG not only effectively controls blood pressure but also ameliorates target organ damage in hypertension. Specifically, QYYYG blocks the activation of the NLRP3 inflammasome by enhancing Nrf2 signaling and inhibiting myocardial inflammation, oxidative stress, and pyroptosis, thereby effectively improving cardiac remodeling in hypertensive patients (<xref ref-type="bibr" rid="B36">Xu et al., 2025</xref>). Additionally, QYYYG exerts protective effects against hypertensive renal injury through multiple mechanisms, including regulation of the TRPC6-CaMKK&#x3b2;-AMPK-mTOR pathway (<xref ref-type="bibr" rid="B19">Ma et al., 2023</xref>), modulation of the HIF-1&#x3b1;/PKM2 positive feedback loop (<xref ref-type="bibr" rid="B24">Qian et al., 2021</xref>), and epigenetic mechanisms associated with nicotinamide N-methyltransferase (NNMT) expression (<xref ref-type="bibr" rid="B38">Zhang et al., 2020</xref>).</p>
<p>High-quality randomized controlled trials (RCTs) are essential for clinical medical research. However, due to the inherent characteristics of traditional Chinese medicine (TCM), insufficient methodological awareness among researchers, considerations of implementation costs, and clinical ethical requirements, current RCTs on TCM for hypertension are deficient in both scale and quality. Notably, deficiencies in blinding are particularly prominent, manifesting in inadequate allocation concealment, incomplete blinding of participants and researchers, and lack of blinding in outcome assessment. To address these limitations, future efforts should focus on: 1) Developing high-fidelity TCM placebos (e.g., bionic technology to simulate appearance and odor); 2) Optimizing outcome measures (increasing objective indicators); 3) Exploring &#x201c;adaptive designs&#x201d; (retaining moderate individualization while maintaining standardization). These strategies may progressively improve the methodological rigor of TCM clinical trials.</p>
</sec>
<sec id="s4-2">
<label>4.2</label>
<title>Summary of results</title>
<p>The Meta-analysis shows that the combination of conventional treatment methods and QYYYG in the treatment of hypertensive vascular damage has obvious value in improving vascular elasticity, reducing inflammatory response, and lowering blood pressure. Moreover, it does not increase the related adverse drug reactions and has good clinical application safety. In this study, the results of the subgroup analysis of PWV in the left and right common carotid arteries indicate that QYYYG have different degrees of influence on the vascular elasticity of hypertensive patients of different age groups. This conclusion suggests that when studying the treatment of hypertensive vascular damage, more attention should be paid to the baseline level of the average age of patients.</p>
<p>The application of trial sequential analysis overcomes the limitations of traditional Meta-analysis, reduces false positive results caused by random errors, and estimates the RIS value to provide a termination criterion for clinical trials (<xref ref-type="bibr" rid="B31">Xia et al., 2013</xref>). After analysis and correction, there is conclusive evidence that the addition of QYYYG can reduce the PWV-ES and peripheral blood CRP. There is no need to include more studies to verify this conclusion.</p>
</sec>
<sec id="s4-3">
<label>4.3</label>
<title>Advantages and limitations</title>
<p>The advantages of this study are as follows. Firstly, by centering on the renowned prescriptions that are extensively applied in clinical practice, a meta-analysis was conducted on controversial issues from the perspective of vascular damage. Secondly, the integrated application of meta-analysis and sequential analysis furnishes the study with the statistical significance threshold and the ineffectiveness threshold of the intervention effect. Thirdly, subgroup analysis revealed the impact of age and other factors on the efficacy of the drug. Fourthly, the heterogeneity of the included indicators is basically low, and the conclusion is credible.</p>
<p>This study still has some limitations. On the one hand, all the retrieved literature are in Chinese, and there are no English articles, which may lead to bias. On the other hand, the included studies carry a risk of bias, which reduces the credibility of the evidence. Notably, due to limitations in the current state of TCM-related research, none of the trials provided information on blinding procedures. Additionally, most existing studies on QYYYG have used endpoint values, while neglecting the change values compared with baseline. Change values can better reflect therapeutic effects and minimize biases caused by baseline heterogeneity. Future researchers should pay attention to these issues.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>Our research findings indicate that the integration of QYYYG with basic treatment demonstrates a superior capacity in ameliorating mild-to-moderate hypertension and vascular damage. However, the outcomes of our study are circumscribed by the sub-optimal quality of the methodology and evidence. As a result, there is a continuing requirement for a greater number of high-quality, multicenter, large-scale sample investigations to validate these results.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>SZ: Methodology, Data curation, Software, Writing &#x2013; original draft, Writing &#x2013; review and editing. QW: Investigation, Data curation, Visualization, Writing &#x2013; review and editing. YL: Supervision, Data curation, Writing &#x2013; review and editing. FL: Data curation, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. In this study, AI tools were only used to support literature retrieval for Meta-analysis, aiming to improve recall and precision. We hereby declare that no AI was involved in other aspects, such as data collection, analysis and paper writing. All work is independently completed by the author team, adhering to academic integrity and publishing standards.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1612508/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1612508/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/462692/overview">Ruyu Yao</ext-link>, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2358791/overview">Andrew J Foy</ext-link>, Penn State Milton S. Hershey Medical Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1917786/overview">Jianguo Lin</ext-link>, China Academy of Chinese Medical Sciences, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2075095/overview">Qiyao Xu</ext-link>, Yichang Central people&#x2019;s Hospital, China</p>
</fn>
</fn-group>
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