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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">jbm</journal-id>
      <journal-title-group>
        <journal-title>Journal of Biosciences and Medicines</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2327-509X</issn>
      <issn pub-type="ppub">2327-5081</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/jbm.2026.144033</article-id>
      <article-id pub-id-type="publisher-id">jbm-151123</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Efficacy and Safety of Tonifying Qi and Circulating Blood Chinese Herbal Medicines in Post-Stroke Cognitive Impairment: A Systematic Review and Network Meta-Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0004-6861-0611</contrib-id>
          <name name-style="western">
            <surname>Chen</surname>
            <given-names>Jixiang</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Gao</surname>
            <given-names>Kun</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>Na</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Zhang</surname>
            <given-names>Zaijun</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Jing</surname>
            <given-names>Mei</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Fang</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>Jin</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China </aff>
      <aff id="aff2"><label>2</label> State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Province Key Laboratory of Pharmacodynamic, Constituents of TCM and New Drugs Research and Institute of New Drug Research, College of Pharmacy, Jinan University, Guangzhou, China </aff>
      <aff id="aff3"><label>3</label> Guangzhou Magpie Pharmaceuticals Co., Ltd., Guangzhou International Business Incubator, Guangzhou, China </aff>
      <aff id="aff4"><label>4</label> Department of Neurology, Wuxue First People’s Hospital, Wuxue, China </aff>
      <aff id="aff5"><label>5</label> Department of Neurosurgery, The First People’s Hospital of Kunming, Kunming, China </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>14</volume>
      <issue>04</issue>
      <fpage>465</fpage>
      <lpage>487</lpage>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>30</day>
          <month>04</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/jbm.2026.144033">https://doi.org/10.4236/jbm.2026.144033</self-uri>
      <abstract>
        <p><bold>Background:</bold> Post-stroke cognitive impairment (PSCI) significantly aggravates the burden of stroke. Current conventional Western medical treatments have limited efficacy, tonifying qi and circulating blood Chinese herbal medicine which is based on the theory of traditional Chinese medicine to target the core pathogenesis of PSCI, emerge as potential candidates for PSCI management. <bold>Methods:</bold> We systematically searched PubMed, Cochrane Library, Web of Science, Embase, CNKI, Wanfang, VIP and China Biology Medicine disc for randomized controlled trials. The primary outcomes included clinical efficacy rate, Mini-Mental State Examination (MMSE) score, Montreal Cognitive Assessment (MoCA) score, National Institutes of Health Stroke Scale (NIHSS) score, and adverse event incidence. Both direct and indirect evidence were integrated through meta-analysis to evaluate the relative efficacy and safety of different tonifying qi and circulating blood Chinese herbal medicine using the Surface Under the Cumulative Ranking Curve. <bold>Results:</bold> A total of 49 studies involving 4260 participants were included. The systematic review showed that Chinese herbal medicine for tonifying qi and circulating blood with conventional Western medicines increased the clinical efficacy rate more significantly than conventional Western medicine alone (RR: 1.23, 95% CI: 1.19 to 1.27), improved cognitive function by MMSE score (MD: 3.13, 95% CI: 2.54 to 3.73), MoCA score (MD: 2.76, 95% CI: 2.19 to 3.32), and reduced NIHSS score (MD: 2.78, 95% CI: 1.76 to 3.80). Network meta-analysis results showed that Buyang Huanwu decoction and its modified formulations demonstrated particularly prominent efficacy in improving cognitive and neurological functions in PSCI patients. No serious adverse reactions were reported. <bold>Conclusion:</bold> This study provides preliminary evidence that tonifying qi and circulating blood Chinese herbal medicines are beneficial for PSCI, indicating that Buyang Huanwu decoction and its modified formulations may be potential safe and effective adjunctive therapeutic options for PSCI.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Tonifying Qi and Circulating Blood</kwd>
        <kwd>Chinese Herbal Medicines</kwd>
        <kwd>Post-Stroke Cognitive Impairment</kwd>
        <kwd>Systematic Review</kwd>
        <kwd>Network Meta-Analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Post-stroke cognitive impairment (PSCI) is a clinical syndrome characterized by persistent cognitive deficits that occur after a stroke event and last for at least six months [<xref ref-type="bibr" rid="B1">1</xref>]-[<xref ref-type="bibr" rid="B3">3</xref>]. The 2024 Global Burden of Disease Study estimated that approximately one-third of the global population is affected by stroke [<xref ref-type="bibr" rid="B4">4</xref>]. In China, nearly one-third of stroke survivors develop PSCI [<xref ref-type="bibr" rid="B5">5</xref>], which severely affects cognitive function and quality of life, and significantly contributes to the increasing burden of stroke-related diseases [<xref ref-type="bibr" rid="B6">6</xref>]. Currently, there are no disease-modifying therapies for PSCI, and clinical management is limited to mitigating vascular risk factors (e.g., hypertension control and lipid regulation) and providing symptomatic treatment (e.g., cholinesterase inhibitors and memantine). According to traditional Chinese medicine (TCM) theory, as articulated in Zhang Zhongjing’s Jin Gui Yao Lue, the pathogenesis of stroke involves dual deficiency of qi and blood, with blood stasis due to qi deficiency being a key causative factor [<xref ref-type="bibr" rid="B7">7</xref>]. Contemporary evidence further indicates that the syndrome patterns characterized by deficiency of qi and blood in the orifices of the brain, complicated by blood stasis due to qi stagnation, are the predominant TCM syndrome types underlying PSCI [<xref ref-type="bibr" rid="B8">8</xref>]. Consequently, therapeutic strategies focusing on tonifying qi and circulating blood have become cornerstone interventions in TCM-based management of PSCI [<xref ref-type="bibr" rid="B9">9</xref>]. In recent years, numerous randomized controlled trials have demonstrated that tonifying qi and circulating blood Chinese herbal medicines with conventional Western medicines may have beneficial effects on improving PSCI.</p>
      <p>However, the overall efficacy and safety profile of these herbal interventions have not been systematically evaluated and summarized. Furthermore, the wide variety of tonifying qi and circulating blood Chinese herbal medicines used in clinical practice may lead to differences in efficacy and safety. In recent years, several systematic reviews have explored the efficacy of TCM for PSCI, but most focused on mixed TCM therapeutic principles without targeting the core pathogenesis of qi deficiency and blood stasis alone. This study aims to supply the evidence for tonifying qi and circulating blood Chinese herbal medicines, which is a key TCM intervention for PSCI and quantitatively compare the efficacy of different formulations through network meta-analysis.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <p>This systematic review and network meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [<xref ref-type="bibr" rid="B10">10</xref>]. The research protocol was registered in PROSPERO with registration number CRD42024566449.</p>
      <sec id="sec2dot1">
        <title>2.1. Inclusion and Exclusion Criteria</title>
        <p>The criteria for inclusion of the studies include: 1) Study design: randomized controlled trials. 2) Population: Patients should be diagnosed with PSCI, defined by a definite temporal association between cognitive impairment and stroke, including post-stroke vascular dementia and mild cognitive impairment [<xref ref-type="bibr" rid="B1">1</xref>]. 3) Interventions: The trial group received tonifying qi and circulating blood Chinese herbal medicines with conventional Western medicines (CWM). The control group received CWM alone. Conventional Western medicine was defined as the standard therapeutic protocol recommended by the Experts Consensus on Post-stroke Cognitive Impairment Management 2021 [<xref ref-type="bibr" rid="B1">1</xref>]. 4) studies reporting at least one internationally recognized cognitive assessment scale, including the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE).</p>
        <p>The criteria for exclusion of the studies include: 1) Which were non-randomized controlled trials, case reports or reviews. 2) Incomplete or unavailable outcome metrics. 3) Duplicate publications. 4) The trial intervention did not tonifying qi and circulating blood Chinese herbal medicines, the control intervention did not conventional Western medications or incorporated adjunctive non-pharmacological therapies (e.g., acupuncture, therapeutic massage, and cognitive training).</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Literature Search</title>
        <p>We searched eight databases including PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, China Science and Technology Journal Database (VIP), and China Biology Medicine disc (CBM) from inception until October 2025. Search strategies were tailored to each database using a combination of controlled vocabulary and free-text keywords related to: 1) stroke. 2) cognitive impairment or dementia. 3) tonifying qi and circulating blood Chinese herbal medicines. 4) randomized controlled trials. </p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Study Selection and Data Extraction</title>
        <p>Literature search results were imported into EndNote X9 for duplicate removal. The study selection process consisted of two steps: 1) initial screening of titles and abstracts based on the predefined inclusion and exclusion criteria. 2) rigorous full-text assessment of potentially eligible studies to determine final inclusion. Two researchers independently extracted data forms included studies. If disagreements arose between the two researchers, a third researcher was consulted to resolve the disputes. The following data were extracted: title, first author, publication year, sample size, mean age, intervention, dosage, treatment duration, Mean and standard deviation for MMSE score, MoCA score, NIHSS score, clinical effective rate and adverse events.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Risk of Bias Assessment</title>
        <p>Systematic reviews and network meta-analyses were conducted using Stata 18.0 software. Clinical efficacy rate was assessed using risk ratios (RR), while MMSE score, MoCA score and NIHSS score were using mean differences (MD) combined with effect sizes, with 95% Confidence Intervals (95%CI) calculated. Heterogeneity among studies was quantified using the Cochran Q test and I² statistic. If significant heterogeneity was detected (P &lt; 0.05 and I<sup>2</sup> &gt; 50%), a random-effects model was employed for meta-analysis. Otherwise, a fixed-effects model was used. In addition, subgroup and sensitivity analyses were performed for outcome measures with high heterogeneity to preliminarily explore the sources of heterogeneity and the stability of results. Given the small sample sizes in most trials, Egger regression tests were conducted to statistically assess potential publication bias. A statistically significant intercept (P &lt; 0.05) indicated potential publication bias, while P ≥ 0.05 supported funnel plot symmetry. Network meta-analysis ranked intervention efficacy using the Surface Under the Cumulative Ranking Curve (SUCRA), with SUCRA values ranging from 0% to 100%, where higher values indicated greater likelihood of representing the optimal intervention. </p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Study Selection</title>
        <p>Initial searches across the eight databases identified 4433 studies. After removing 1884 duplicates, 2549 unique publications were subjected to title/abstract screening, excluding 2120 records. The full-text assessment of the remaining 429 studies excluded 380 protocol deviations or insufficient data, resulting in 49 studies eligible for quantitative synthesis. The flow diagram of study selection and identification is described in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Characteristics of Included Studies</title>
        <p>A total of 49 studies involving 4260 participants were included, with 2139 subjects in the trial group and 2121 in the control group. Baseline data were balanced between all trial and control group. These studies evaluated 26 distinct tonifying qi and circulating blood Chinese herbal medicines, including 14 proprietary Chinese medicines and 12 decoction formulas. Thirty-eight studies [<xref ref-type="bibr" rid="B11">11</xref>]-[<xref ref-type="bibr" rid="B47">47</xref>] reported MMSE score, twenty-four studies [<xref ref-type="bibr" rid="B14">14</xref>]-[<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B21">21</xref>][<xref ref-type="bibr" rid="B23">23</xref>][<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B26">26</xref>]-[<xref ref-type="bibr" rid="B28">28</xref>][<xref ref-type="bibr" rid="B38">38</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B54">54</xref>] reported MoCA score, thirty-five studies [<xref ref-type="bibr" rid="B11">11</xref>][<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B21">21</xref>]-[<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B29">29</xref>]-[<xref ref-type="bibr" rid="B31">31</xref>][<xref ref-type="bibr" rid="B33">33</xref>]-[<xref ref-type="bibr" rid="B40">40</xref>][<xref ref-type="bibr" rid="B42">42</xref>]-[<xref ref-type="bibr" rid="B46">46</xref>][<xref ref-type="bibr" rid="B50">50</xref>]-[<xref ref-type="bibr" rid="B53">53</xref>][<xref ref-type="bibr" rid="B55">55</xref>][<xref ref-type="bibr" rid="B56">56</xref>] reported clinical efficacy rate, ten studies [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B21">21</xref>]-[<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B29">29</xref>][<xref ref-type="bibr" rid="B44">44</xref>][<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B53">53</xref>][<xref ref-type="bibr" rid="B56">56</xref>] reported NIHSS score. All included studies occurred in China. Detailed baseline characteristics of included studies were shown in <bold>Table 1</bold>. </p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId15.jpeg?20260430041437" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Flow diagram of study selection and identification.</p>
        <p><bold>Table 1</bold><bold>.</bold> Basic characteristics of included studies.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">Study</td>
                <td colspan="2">n/case</td>
                <td colspan="2">Age/year</td>
                <td colspan="2">Treatment measures</td>
                <td rowspan="2">Treatments/Days</td>
              </tr>
              <tr>
                <td>T</td>
                <td>C</td>
                <td>T</td>
                <td>C</td>
                <td>T</td>
                <td>C</td>
              </tr>
              <tr>
                <td>
                  Huang LW 1999 [
                  <xref ref-type="bibr" rid="B11">11</xref>
                  ]
                </td>
                <td>30</td>
                <td>29</td>
                <td>63.56 ± 6.2</td>
                <td>64.6 ± 5.8</td>
                <td>FZ + CWM</td>
                <td>CWM</td>
                <td>60</td>
              </tr>
              <tr>
                <td>
                  Cai XY 2014 [
                  <xref ref-type="bibr" rid="B12">12</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>64 ± 6.6</td>
                <td>64 ± 6.6</td>
                <td>BYHX + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Jiang Y 2014 [
                  <xref ref-type="bibr" rid="B13">13</xref>
                  ]
                </td>
                <td>32</td>
                <td>32</td>
                <td>60.38 ± 2.54</td>
                <td>60.56 ± 2.34</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>56</td>
              </tr>
              <tr>
                <td>
                  Zhang K 2024 [
                  <xref ref-type="bibr" rid="B48">48</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>65.16 ± 5.12</td>
                <td>65.26 ± 5.25</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>30</td>
              </tr>
              <tr>
                <td>
                  Li W 2017 [
                  <xref ref-type="bibr" rid="B14">14</xref>
                  ]
                </td>
                <td>45</td>
                <td>45</td>
                <td>65.7 ± 6.4</td>
                <td>65.6 ± 6.9</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>180</td>
              </tr>
              <tr>
                <td>
                  Huang D 2019 [
                  <xref ref-type="bibr" rid="B15">15</xref>
                  ]
                </td>
                <td>47</td>
                <td>47</td>
                <td>63.56 ± 2.24</td>
                <td>63.21 ± 2.19</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Niu HH 2025 [
                  <xref ref-type="bibr" rid="B44">44</xref>
                  ]
                </td>
                <td>50</td>
                <td>50</td>
                <td>60.68 ± 4.39</td>
                <td>60.57 ± 4.34</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Xiao Y 2025 [
                  <xref ref-type="bibr" rid="B43">43</xref>
                  ]
                </td>
                <td>61</td>
                <td>59</td>
                <td>66.57 ± 2.21</td>
                <td>66.54 ± 2.20</td>
                <td>NXT + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Chen ZX 2015 [
                  <xref ref-type="bibr" rid="B16">16</xref>
                  ]
                </td>
                <td>34</td>
                <td>33</td>
                <td>63.97 ± 8.28</td>
                <td>64.84 ± 8.79</td>
                <td>TXL + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Chen N 2014 [
                  <xref ref-type="bibr" rid="B17">17</xref>
                  ]
                </td>
                <td>34</td>
                <td>34</td>
                <td>61.5 ± 11.2</td>
                <td>62.2 ± 12.7</td>
                <td>TXL + CWM</td>
                <td>CWM</td>
                <td>120</td>
              </tr>
              <tr>
                <td>
                  Yang P 2016 [
                  <xref ref-type="bibr" rid="B18">18</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>61.5 ± 14.2</td>
                <td>62.2 ± 12.7</td>
                <td>TXL + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Yu XQ 2011 [
                  <xref ref-type="bibr" rid="B19">19</xref>
                  ]
                </td>
                <td>40</td>
                <td>28</td>
                <td>/</td>
                <td>/</td>
                <td>TXL + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Song QY 2018 [
                  <xref ref-type="bibr" rid="B49">49</xref>
                  ]
                </td>
                <td>34</td>
                <td>32</td>
                <td>65.2 ± 3.6</td>
                <td>66.1 ± 3.6</td>
                <td>DZSM + CWM</td>
                <td>CWM</td>
                <td>180</td>
              </tr>
              <tr>
                <td>
                  Rong XT 2025 [
                  <xref ref-type="bibr" rid="B56">56</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>60.58 ± 4.78</td>
                <td>61.88 ± 5.57</td>
                <td>DZSM + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Wang L 2018 [
                  <xref ref-type="bibr" rid="B20">20</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>62.73 ± 9.40</td>
                <td>59.53 ± 9.90</td>
                <td>QLYZ + CWM</td>
                <td>CWM</td>
                <td>180</td>
              </tr>
              <tr>
                <td>
                  Wang YW 2020 [
                  <xref ref-type="bibr" rid="B21">21</xref>
                  ]
                </td>
                <td>37</td>
                <td>37</td>
                <td>60.54 ± 11.99</td>
                <td>62.54 ± 11.49</td>
                <td>ZFXN + CWM</td>
                <td>CWM</td>
                <td>21</td>
              </tr>
              <tr>
                <td>
                  Bao JQ 2021 [
                  <xref ref-type="bibr" rid="B22">22</xref>
                  ]
                </td>
                <td>100</td>
                <td>100</td>
                <td>52.45 ± 8.29</td>
                <td>52.36 ± 8.46</td>
                <td>YQTL + CWM</td>
                <td>CWM</td>
                <td>168</td>
              </tr>
              <tr>
                <td>
                  Shi HM 2023 [
                  <xref ref-type="bibr" rid="B23">23</xref>
                  ]
                </td>
                <td>65</td>
                <td>65</td>
                <td>58 ± 5</td>
                <td>58 ± 5</td>
                <td>YQTL + CWM</td>
                <td>CWM</td>
                <td>180</td>
              </tr>
              <tr>
                <td>
                  Han ZY 2022 [
                  <xref ref-type="bibr" rid="B57">57</xref>
                  ]
                </td>
                <td>43</td>
                <td>43</td>
                <td>72.8 ± 4.35</td>
                <td>70.1 ± 5.2</td>
                <td>DYNT + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Chen DY 2023 [
                  <xref ref-type="bibr" rid="B54">54</xref>
                  ]
                </td>
                <td>55</td>
                <td>55</td>
                <td>69.45 ± 10.25</td>
                <td>72.18 ± 9.92</td>
                <td>YNK + CWM</td>
                <td>CWM</td>
                <td>180</td>
              </tr>
              <tr>
                <td>
                  Wu Y 2023 [
                  <xref ref-type="bibr" rid="B24">24</xref>
                  ]
                </td>
                <td>38</td>
                <td>38</td>
                <td>63.11 ± 10.55</td>
                <td>67.18±7.82</td>
                <td>QSHW + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Sun Y 2024 [
                  <xref ref-type="bibr" rid="B25">25</xref>
                  ]
                </td>
                <td>45</td>
                <td>45</td>
                <td>65.69 ± 7.36</td>
                <td>66.44 ± 6.41</td>
                <td>SWYZ + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Guo C 2025 [
                  <xref ref-type="bibr" rid="B47">47</xref>
                  ]
                </td>
                <td>45</td>
                <td>45</td>
                <td>/</td>
                <td>/</td>
                <td>SWYZ + CWM</td>
                <td>CWM</td>
                <td>28</td>
              </tr>
              <tr>
                <td>
                  Gao LN 2024 [
                  <xref ref-type="bibr" rid="B26">26</xref>
                  ]
                </td>
                <td>30</td>
                <td>31</td>
                <td>61.09 ± 7.59</td>
                <td>61.59 ± 6.83</td>
                <td>BN + CWM</td>
                <td>CWM</td>
                <td>30</td>
              </tr>
              <tr>
                <td>
                  Wei Jw 2024 [
                  <xref ref-type="bibr" rid="B45">45</xref>
                  ]
                </td>
                <td>93</td>
                <td>93</td>
                <td>61.74 ± 3.66</td>
                <td>62.35± 2.17</td>
                <td>QL + CWM</td>
                <td>CWM</td>
                <td>60</td>
              </tr>
              <tr>
                <td>
                  Pan JW 2015 [
                  <xref ref-type="bibr" rid="B50">50</xref>
                  ]
                </td>
                <td>37</td>
                <td>37</td>
                <td>68.7 ± 7.1</td>
                <td>69.1 ± 7.4</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>28</td>
              </tr>
              <tr>
                <td>
                  Chen XR 2020 [
                  <xref ref-type="bibr" rid="B27">27</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>65.52 ± 3.94</td>
                <td>65.59 ± 3.91</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>28</td>
              </tr>
              <tr>
                <td>
                  Chen J 2023 [
                  <xref ref-type="bibr" rid="B28">28</xref>
                  ]
                </td>
                <td>42</td>
                <td>42</td>
                <td>62.38 ± 9.59</td>
                <td>61.89 ± 8.72</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Liu LM 2015 [
                  <xref ref-type="bibr" rid="B51">51</xref>
                  ]
                </td>
                <td>42</td>
                <td>42</td>
                <td>69.9 ± 7.2</td>
                <td>70.5 ± 7.0</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>14</td>
              </tr>
              <tr>
                <td>
                  Wang Z 2022 [
                  <xref ref-type="bibr" rid="B29">29</xref>
                  ]
                </td>
                <td>43</td>
                <td>43</td>
                <td>60.9 ± 2.8</td>
                <td>58.3 ± 2.5</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Shao R 2013 [
                  <xref ref-type="bibr" rid="B55">55</xref>
                  ]
                </td>
                <td>36</td>
                <td>36</td>
                <td>68.7 ± 7.5</td>
                <td>68.1 ± 7.5</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>58</td>
              </tr>
              <tr>
                <td>
                  Wang JS 2016 [
                  <xref ref-type="bibr" rid="B30">30</xref>
                  ]
                </td>
                <td>49</td>
                <td>49</td>
                <td>61.4 ± 6.9</td>
                <td>62.6 ± 6.67</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>/</td>
              </tr>
              <tr>
                <td>
                  Yang YC 2019 [
                  <xref ref-type="bibr" rid="B31">31</xref>
                  ]
                </td>
                <td>44</td>
                <td>44</td>
                <td>68.02 ± 8.57</td>
                <td>67.79 ± 8.46</td>
                <td>BYHW + CWM</td>
                <td>CWM</td>
                <td>30</td>
              </tr>
              <tr>
                <td>
                  Fang HM 2014 [
                  <xref ref-type="bibr" rid="B32">32</xref>
                  ]
                </td>
                <td>40</td>
                <td>40</td>
                <td>67.1 ± 7.4</td>
                <td>66.5 ± 6.9</td>
                <td>YZHX + CWM</td>
                <td>CWM</td>
                <td>28</td>
              </tr>
              <tr>
                <td>
                  Li GC 2016 [
                  <xref ref-type="bibr" rid="B33">33</xref>
                  ]
                </td>
                <td>28</td>
                <td>28</td>
                <td>58.6 ± 3.2</td>
                <td>56.8 ± 5.2</td>
                <td>YZHX + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Liu JY 2012 [
                  <xref ref-type="bibr" rid="B34">34</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>59.50 ± 7.51</td>
                <td>60.30 ± 6.92</td>
                <td>YZHX + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Chen L 2009 [
                  <xref ref-type="bibr" rid="B35">35</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>59.4 ± 9.3</td>
                <td>60.1 ± 9.5</td>
                <td>GBHX + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Zhang Y 2014 [
                  <xref ref-type="bibr" rid="B36">36</xref>
                  ]
                </td>
                <td>20</td>
                <td>20</td>
                <td>64.5 ± 0.7</td>
                <td>64.5 ± 0.7</td>
                <td>GBHX + CWM</td>
                <td>CWM</td>
                <td>60</td>
              </tr>
              <tr>
                <td>
                  Li XG 2018 [
                  <xref ref-type="bibr" rid="B37">37</xref>
                  ]
                </td>
                <td>51</td>
                <td>51</td>
                <td>61.52 ± 7.34</td>
                <td>62.67 ± 7.51</td>
                <td>GBHX + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Lu JZ 2019 [
                  <xref ref-type="bibr" rid="B38">38</xref>
                  ]
                </td>
                <td>39</td>
                <td>39</td>
                <td>71.09 ± 4.46</td>
                <td>71.12 ± 4.44</td>
                <td>GBHX + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Liu SF 2005 [
                  <xref ref-type="bibr" rid="B42">42</xref>
                  ]
                </td>
                <td>60</td>
                <td>60</td>
                <td>70.8</td>
                <td>68.2</td>
                <td>YQHXTL + CWM</td>
                <td>CWM</td>
                <td>30</td>
              </tr>
              <tr>
                <td>
                  You YY 2020 [
                  <xref ref-type="bibr" rid="B52">52</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>63.47 ± 8.21</td>
                <td>63.60 ± 7.75</td>
                <td>YQSXTM + CWM</td>
                <td>CWM</td>
                <td>90</td>
              </tr>
              <tr>
                <td>
                  Qing XL 2022 [
                  <xref ref-type="bibr" rid="B53">53</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>62.03 ± 6.48</td>
                <td>61.53 ± 6.76</td>
                <td>YQHXHT + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
              <tr>
                <td>
                  Cheng J 2020 [
                  <xref ref-type="bibr" rid="B39">39</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>63.36 ± 1.63</td>
                <td>63.43 ± 1.54</td>
                <td>YQHX + CWM</td>
                <td>CWM</td>
                <td>60</td>
              </tr>
              <tr>
                <td>
                  You ZJ 2010 [
                  <xref ref-type="bibr" rid="B40">40</xref>
                  ]
                </td>
                <td>30</td>
                <td>30</td>
                <td>67.7 ± 8.5</td>
                <td>66.8 ± 7.7</td>
                <td>BQYX + CWM</td>
                <td>CWM</td>
                <td>56</td>
              </tr>
              <tr>
                <td>
                  Gao L 2014 [
                  <xref ref-type="bibr" rid="B58">58</xref>
                  ]
                </td>
                <td>62</td>
                <td>63</td>
                <td>63.71 ± 10.66</td>
                <td>63.58 ± 10.92</td>
                <td>QSTL + CWM</td>
                <td>CWM</td>
                <td>21</td>
              </tr>
              <tr>
                <td>
                  Run JW 2023 [
                  <xref ref-type="bibr" rid="B59">59</xref>
                  ]
                </td>
                <td>60</td>
                <td>60</td>
                <td>70.34 ± 2.19</td>
                <td>70.39 ± 2.11</td>
                <td>GP&amp;XFZY + CWM</td>
                <td>CWM</td>
                <td>60</td>
              </tr>
              <tr>
                <td>
                  Huang PL 2019 [
                  <xref ref-type="bibr" rid="B41">41</xref>
                  ]
                </td>
                <td>60</td>
                <td>60</td>
                <td>59.36 ± 5.74</td>
                <td>61.98 ± 4.95</td>
                <td>BZ + CWM</td>
                <td>CWM</td>
                <td>21</td>
              </tr>
              <tr>
                <td>
                  Cheng L 2025 [
                  <xref ref-type="bibr" rid="B46">46</xref>
                  ]
                </td>
                <td>56</td>
                <td>56</td>
                <td>59.56 ± 4.79</td>
                <td>60.14 ± 5.23</td>
                <td>WSXN + CWM</td>
                <td>CWM</td>
                <td>84</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Abbreviation: T, Trial group. C, Control group. WMT, Western medicine treatment. FZ, Fuzheng Capsule. BYHX, Buyi Huoxue pill. NXT, Naoxintong capsule. TXL, Tongxinluo capsule. DZSM, Dengzhan Shengmai capsule. QLYZ, Qilong Yizhi granule. ZFXN, Zhong feng xing nao liquid. YQTL, Yiqitongluo granule. DYNT, Dengyin Naotong capsule. YNK, Yinaokang capsule. QSHW, Qishen Huanwu capsule. SWYZ, Shenwu Yizhi capsule. BN, Bunao cream. QL, Qinglong capsule. BYHW, Buyang Huanwu decoction. YZHX, Yizhi Huoxue decoction. GBHX, Guben Huoxue decoction. YQHXTL, Yiqi Huoxue Tonglou decoction. YQSXTM, Yiqi Shuxue Tongmai prescription. YQHXHT, Yiqi Huoxue Huatan decoction. YQHX, Yiqi Huoxue decoction. BQHX, Buqi Huoxue decoction. QSTL, Qishen Tongluo Zengzhi decoction. GP&amp;XFZY, Guipi decoction with xuefu zhuyu decoction. BZ, Bazhen decoction. WSXN, Wushen Xingnao decoction.</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId16.jpeg?20260430041437" />
        </fig>
        <p><bold>Figure 2</bold><bold>.</bold> Results of the risk of bias evaluation.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Assessment of the Risk of Bias</title>
        <p>Twenty-seven studies [<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B20">20</xref>]-[<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B24">24</xref>]-[<xref ref-type="bibr" rid="B26">26</xref>][<xref ref-type="bibr" rid="B28">28</xref>][<xref ref-type="bibr" rid="B32">32</xref>][<xref ref-type="bibr" rid="B37">37</xref>][<xref ref-type="bibr" rid="B41">41</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B50">50</xref>][<xref ref-type="bibr" rid="B52">52</xref>]-[<xref ref-type="bibr" rid="B54">54</xref>][<xref ref-type="bibr" rid="B56">56</xref>] provided detailed descriptions of randomization procedures using random-number tables and were judged to be low risk. The remaining 22 studies The remaining 22 studies only mentioned randomization without specifying the relevant method, leading to an unclear risk. For allocation concealment, five studies [<xref ref-type="bibr" rid="B21">21</xref>][<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B52">52</xref>][<xref ref-type="bibr" rid="B53">53</xref>] employed sealed opaque envelopes or centralized computerized randomization systems and were rated as low risk. while the other included studies did not describe any allocation concealment measures. Concerning blinding, three studies [<xref ref-type="bibr" rid="B52">52</xref>][<xref ref-type="bibr" rid="B54">54</xref>][<xref ref-type="bibr" rid="B58">58</xref>] explicitly reported blinding of outcome assessors and were assessed as low risk. The other studies did not mention blinding of participants or personnel, have being rated as unclear risk. In terms of outcome completeness and selective reporting, all studies demonstrated complete outcome data with no evidence of selective reporting, and were assigned low risk. Based on full-text review, other potential sources of bias could not be identified, so this domain was rated as unclear risk. The results of the risk of bias assessment are presented in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Outcome Measures</title>
        <p>3.4.1. Network Diagram</p>
        <p>In the network evidence diagram, each node represents a different intervention. Node size is proportional to the total sample size of the included studies, and the lines between nodes indicate direct comparisons between interventions. The network diagram presented a star-shaped structure with no closed loops among all intervention nodes, making inconsistency testing unfeasible in this network meta-analysis. Thus, all efficacy rankings of interventions were based exclusively on indirect evidence, as illustrated in <xref ref-type="fig" rid="fig3">Figure 3</xref>. Notably, Naoxintong capsule, Tongxinluo capsule, Yiqi Tongluo granule, Buyang Huanwu decoction, Guben Huoxue decoction and Yizhi Huoxue decoction are the most extensively investigated tonifying qi and circulating blood Chinese herbal medicine in the treatment of PSCI.</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId17.jpeg?20260430041439" />
        </fig>
        <p><bold>Figure 3</bold><bold>.</bold> Network diagram of outcomes. (a) MMSE score, (b)MoCA score, (c) clinical efficacy rate, (d) NIHSS score.</p>
        <p>3.4.2. MMSE Score</p>
        <p>Thirty-eight studies [<xref ref-type="bibr" rid="B11">11</xref>]-[<xref ref-type="bibr" rid="B47">47</xref>] reported MMSE score, involving a total of 3222 participants, including 1619 in trial group and 1603 in control group. Heterogeneity analysis showed substantial between-study heterogeneity (I<sup>2</sup> = 92.6%, P = 0.00), a random-effects model was used to pool effect sizes. Meta-analysis demonstrated that tonifying qi and circulating blood Chinese herbal medicines with conventional Western medication were significantly superior to conventional Western medication alone in improving MMSE score (MD: 3.13, 95% CI: 2.54 - 3.73). The forest plot is presented in <xref ref-type="fig" rid="fig4">Figure 4</xref>. The network meta-analysis results demonstrated that the top five interventions with conventional Western medicines for enhancing MMSE score ranked by SUCRA were: Guipi decoction with Xuefu Zhuyu decoction (99.2%), Yiqi Huoxue decoction (88.0%), Buyang Huanwu decoction (82.1%), Naoxintong capsules (78.6%), and Buyi Huoxue pills (73.9%), as illustrated in <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p>
        <fig id="fig4">
          <label>Figure 4</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId18.jpeg?20260430041440" />
        </fig>
        <p><bold>Figure 4</bold><bold>.</bold> Forest plot of MMSE score.</p>
        <fig id="fig5">
          <label>Figure 5</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId19.jpeg?20260430041440" />
        </fig>
        <p><bold>Figure 5</bold><bold>.</bold> SUCRA Results of MMSE score.</p>
        <p>3.4.3. MoCA Score</p>
        <p>Twenty-four studies [<xref ref-type="bibr" rid="B14">14</xref>]-[<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B21">21</xref>][<xref ref-type="bibr" rid="B23">23</xref>][<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B26">26</xref>]-[<xref ref-type="bibr" rid="B28">28</xref>][<xref ref-type="bibr" rid="B38">38</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B54">54</xref>] reported MoCA score, involving a total of 2154 participants, with 1077 in trial and control group. Heterogeneity analysis indicated substantial study-to-study variation (I<sup>2</sup> = 84.5%, P = 0.000), prompting the use of a random-effects model for meta-analysis. Meta-analysis results showed that tonifying qi and circulating blood Chinese herbal medicines with conventional Western medication demonstrated superiority over conventional Western medication alone in improving MoCA scores (MD: 2.76, 95% CI: 2.19 - 3.32), the forest plot is presented in <xref ref-type="fig" rid="fig6">Figure 6</xref>. The network meta-analysis results demonstrated that the top five interventions with conventional Western medicines for enhancing MoCA score ranked by SUCRA were: Yiqi Tongluo granules (92.8%), Naoxintong capsules (91.7%), Guben Huoxue decoction (88.2%), Qishen Tongluo Zhengzhi decoction (86.1%), and Buyang Huanwu decoction (81.2%), as shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>.</p>
        <p>3.4.4. Clinical Effective Rate</p>
        <p>The clinical efficacy rate was defined as the proportion of patients with improved cognitive function after treatment. It was designated as an exploratory outcome in this study. A total of 35 studies [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B17">17</xref>][<xref ref-type="bibr" rid="B19">19</xref>][<xref ref-type="bibr" rid="B22">22</xref>]-[<xref ref-type="bibr" rid="B28">28</xref>][<xref ref-type="bibr" rid="B30">30</xref>]-[<xref ref-type="bibr" rid="B32">32</xref>][<xref ref-type="bibr" rid="B34">34</xref>]-[<xref ref-type="bibr" rid="B41">41</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B47">47</xref>][<xref ref-type="bibr" rid="B51">51</xref>]-[<xref ref-type="bibr" rid="B54">54</xref>][<xref ref-type="bibr" rid="B56">56</xref>][<xref ref-type="bibr" rid="B57">57</xref>] reported this outcome, with a total of 2973 participants (1489 in the trial group and 1484 in the control group). Heterogeneity analysis showed low inter-study heterogeneity (I<sup>2</sup> = 0%, P = 0.917), allowing the use of a fixed-effect model for effect size pooling. Meta-analysis results demonstrated that tonifying qi and circulating blood Chinese herbal medicines combined </p>
        <fig id="fig6">
          <label>Figure 6</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId20.jpeg?20260430041441" />
        </fig>
        <p><bold>Figure 6</bold><bold>.</bold> Forest Plot of MoCA score.</p>
        <fig id="fig7">
          <label>Figure 7</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId21.jpeg?20260430041441" />
        </fig>
        <p><bold>Figure 7</bold><bold>.</bold> SUCRA Results of MoCA score.</p>
        <p>with conventional Western medication significantly improved the clinical effective rate compared with conventional Western medication alone (RR: 1.23, 95% CI: 1.19 - 1.27), with statistical significance. The forest plot is shown in <xref ref-type="fig" rid="fig8">Figure 8</xref>. In the network meta-analysis, interventions were ranked based on the SUCRA. The top five interventions with conventional Western medicines for enhancing clinical efficacy rate were: Qishen Huanwu capsules (90.2%), Fuzheng capsules (83.5%), Yizhi Huoxue decoction (71.6%), Guben Huoxue decoction (68.9%), Shenwu Yizhi capsules (67.3%), as shown in <xref ref-type="fig" rid="fig9">Figure 9</xref>.</p>
        <fig id="fig8">
          <label>Figure 8</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId22.jpeg?20260430041441" />
        </fig>
        <p><bold>Figure 8</bold><bold>.</bold> Forest Plot of clinical effective rate.</p>
        <fig id="fig9">
          <label>Figure 9</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId23.jpeg?20260430041442" />
        </fig>
        <p><bold>Figure 9</bold><bold>.</bold> SUCRA Result of Clinical effective rate.</p>
        <p>3.4.5. NIHSS Score</p>
        <p>Ten studies [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B21">21</xref>]-[<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B29">29</xref>][<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B53">53</xref>] reported NIHSS scores, involving a total of 980 participants, with 490 in trial and control group. Heterogeneity analysis revealed substantial inter-study heterogeneity (I<sup>2</sup> = 91.0%, P = 0.000), necessitating the use of a random-effects model for effect sizes. Meta-analysis results indicated that tonifying qi and circulating blood Chinese herbal medicines with conventional Western medication significantly outperformed conventional Western medication alone in reducing NIHSS score (MD: 2.78, 95%CI: 1.76 - 3.80), the forest plot is shown in <xref ref-type="fig" rid="fig10">Figure 10</xref>. The network meta-analysis results demonstrated that the top five interventions with conventional Western medicine for reducing NIHSS score ranked by SUCRA were: Nao Xintong capsules (99.6%), Buyang Huanwu decoction (82.1%), Qishen Huanwu capsules (61.8%), Yiqi Tongluo granules (57.2%), Yiqi Huoxue Huatan decoction (46.3%), as shown in <xref ref-type="fig" rid="fig11">Figure 11</xref>.</p>
        <p>3.4.6. Subgroup and Sensitivity Analyses </p>
        <p>Given the high heterogeneity observed in MMSE, MoCA and NIHSS score outcomes, subgroup analyses were further performed in this study stratified by treatment course, dosage form and conventional western medicine type. The results showed that high heterogeneity still existed in all subgroups (I<sup>2</sup> &gt; 50%, P &lt; 0.05), indicating that treatment course, dosage form and conventional western medicine type were not the sources of heterogeneity. Meanwhile, sensitivity analysis was conducted using the leave-one-out method. The results showed that omitting any individual trial did not shift the overall effect estimate outside the 95% confidence interval, which verified the stability of the meta-analysis findings.</p>
        <fig id="fig10">
          <label>Figure 10</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId24.jpeg?20260430041443" />
        </fig>
        <p><bold>Figure 10</bold><bold>.</bold> Forest plot of NIHSS score.</p>
        <fig id="fig11">
          <label>Figure 11</label>
          <graphic xlink:href="https://html.scirp.org/file/2153796-rId25.jpeg?20260430041443" />
        </fig>
        <p><bold>Figure 11</bold><bold>.</bold> SUCRA result of NIHSS score.</p>
        <p>3.4.7. Safety</p>
        <p>Among the 49 studies, 27 studies [<xref ref-type="bibr" rid="B11">11</xref>][<xref ref-type="bibr" rid="B15">15</xref>]-[<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B20">20</xref>]-[<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B24">24</xref>]-[<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B29">29</xref>][<xref ref-type="bibr" rid="B32">32</xref>][<xref ref-type="bibr" rid="B35">35</xref>]-[<xref ref-type="bibr" rid="B37">37</xref>][<xref ref-type="bibr" rid="B40">40</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B52">52</xref>]-[<xref ref-type="bibr" rid="B54">54</xref>] reported adverse reactions. Thirteen studies [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B17">17</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B32">32</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B46">46</xref>][<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B52">52</xref>][<xref ref-type="bibr" rid="B54">54</xref>] documented adverse reactions, mainly including gastrointestinal disturbances and neurological symptoms. The remaining 14 studies reported no adverse reactions. In these 13 studies reports [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B17">17</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B32">32</xref>][<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B46">46</xref>][<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B52">52</xref>][<xref ref-type="bibr" rid="B54">54</xref>] demonstrated no statistically significant difference in the incidence of adverse events between the trial and control groups (P &gt; 0.05). Given that no significant between-group differences were observed in the overall incidence of adverse events, only a descriptive analysis was performed in the present study. Detailed information on adverse events is presented in <bold>Table 2</bold>.</p>
        <p><bold>Table 2</bold><bold>.</bold> Detailed information of adverse events.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">Study</td>
                <td rowspan="2">Intervention measures</td>
                <td colspan="2">Adverse events</td>
              </tr>
              <tr>
                <td>Trial group</td>
                <td>Control group</td>
              </tr>
              <tr>
                <td>
                  Zhang K 2024 [
                  <xref ref-type="bibr" rid="B48">48</xref>
                  ]
                </td>
                <td>NXT + CWM</td>
                <td>2 cases diarrhea, 1 case decreased appetite</td>
                <td>1 case dizziness, 2 cases diarrhea, 1 case decreased appetite</td>
              </tr>
              <tr>
                <td>
                  Huang D 2019 [
                  <xref ref-type="bibr" rid="B15">15</xref>
                  ]
                </td>
                <td>NXT + CWM</td>
                <td>1 case dizziness, 2 cases gastrointestinal reaction</td>
                <td>2 cases dizziness, 1 case gastrointestinal reaction, 1 case Skin Itching</td>
              </tr>
              <tr>
                <td>
                  Niu HH 2025 [
                  <xref ref-type="bibr" rid="B44">44</xref>
                  ]
                </td>
                <td>NXT + CWM</td>
                <td>2 cases fatigue, 2 cases diarrhea, 1 case loss of appetite</td>
                <td>1 cases fatigue, 2 cases diarrhea</td>
              </tr>
              <tr>
                <td>
                  Xiao Y 2025 [
                  <xref ref-type="bibr" rid="B43">43</xref>
                  ]
                </td>
                <td>NXT + CWM</td>
                <td>4 cases gastrointestinal discomfort, 1 case muscle cramps, 1cases insomnia</td>
                <td>2 cases gastrointestinal discomfort, 2 cases muscle cramps, 1 case insomnia</td>
              </tr>
              <tr>
                <td>
                  Chen N 2014 [
                  <xref ref-type="bibr" rid="B17">17</xref>
                  ]
                </td>
                <td>TXL + CWM</td>
                <td>3 cases stomach pain, 2 cases nausea</td>
                <td>3 cases nausea and gastric discomfort</td>
              </tr>
              <tr>
                <td>
                  Yang P 2016 [
                  <xref ref-type="bibr" rid="B18">18</xref>
                  ]
                </td>
                <td>TXL + CWM</td>
                <td>3 cases stomach pain, 2 cases nausea</td>
                <td>3 cases gastric discomfort</td>
              </tr>
              <tr>
                <td>
                  Bao JQ 2021 [
                  <xref ref-type="bibr" rid="B22">22</xref>
                  ]
                </td>
                <td>YQTL + CWM</td>
                <td>1 case odizziness, 1 case diarrhoea, 3 cases nausea and vomiting, 2 cases abdominal distension, 1 case rash</td>
                <td>2 cases odizziness, 1 case diarrhoea, 2 cases nausea and vomiting, 1 case abdominal distension</td>
              </tr>
              <tr>
                <td>
                  Chen DY 2023 [
                  <xref ref-type="bibr" rid="B54">54</xref>
                  ]
                </td>
                <td>YNK + CWM</td>
                <td>1 case insomnia</td>
                <td>1 cases insomnia</td>
              </tr>
              <tr>
                <td>
                  Chen XR 2020 [
                  <xref ref-type="bibr" rid="B27">27</xref>
                  ]
                </td>
                <td>BYHW + CWM</td>
                <td>1 case dizziness, 1 case somnolence, 1 case constipation, 1 case dry mouth</td>
                <td>1 case Somnolence, 1 case constipation, 1 case dry mouth</td>
              </tr>
              <tr>
                <td>
                  Fang HM 2014 [
                  <xref ref-type="bibr" rid="B32">32</xref>
                  ]
                </td>
                <td>YZHX + CWM</td>
                <td>2 cases nausea, 2 cases abdominal discomfort</td>
                <td>1 case nausea, 1 case abdominal discomfort</td>
              </tr>
              <tr>
                <td>
                  You YY 2020 [
                  <xref ref-type="bibr" rid="B52">52</xref>
                  ]
                </td>
                <td>YQSXTM + CWM</td>
                <td>1 case nausea</td>
                <td>1 case nasal congestion</td>
              </tr>
              <tr>
                <td>
                  Wei JH 2024 [
                  <xref ref-type="bibr" rid="B45">45</xref>
                  ]
                </td>
                <td>QL + CWM</td>
                <td>14 cases nausea, 7 cases headache, 9 cases abnormal liver function</td>
                <td>13 cases nausea, 6 cases headache, 8 cases abnormal liver function</td>
              </tr>
              <tr>
                <td>
                  Cheng L 2025 [
                  <xref ref-type="bibr" rid="B46">46</xref>
                  ]
                </td>
                <td>WSXN + CWM</td>
                <td>1 case mildly elevated transaminases, 2 cases nausea and vomiting, 1 case fatigue</td>
                <td>2 cases mildly elevated transaminases, 2 cases abdominal pain, 1 case fatigue</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>3.4.8. Publication Bias</p>
        <p>This study assessed potential publication bias quantitatively using Egger’s regression test. The results showed that the P-values for the intercept tests of MMSE scores and clinical response rates were 0.037 and 0.000 (P &lt; 0.05), indicating possible presence of publication bias, which may be related to the relatively limited sample sizes of the included studies. In contrast, the P-values for the intercepts of MoCA scores and NIHSS scores were 0.229 and 0.142 (P &gt; 0.05), indicating that no significant publication bias was observed for these two outcome measures, as shown in <bold>Table 3</bold>.</p>
        <p><bold>Table 3</bold><bold>.</bold> Result of Egger’s P-value.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>Outcome measure</td>
                <td>Egger’s P-values</td>
              </tr>
              <tr>
                <td>MMSE score</td>
                <td>0.037</td>
              </tr>
              <tr>
                <td>MoCA score</td>
                <td>0.229</td>
              </tr>
              <tr>
                <td>NIHSS score</td>
                <td>0.142</td>
              </tr>
              <tr>
                <td>Clinical efficacy rate</td>
                <td>0.000</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>PSCI is a disabling clinical syndrome secondary to cerebrovascular events, characterized by domain-specific cognitive deficits or global cognitive deterioration. The clinical treatment of PSCI remains challenging owing to the lack of targeted pharmacological interventions [<xref ref-type="bibr" rid="B60">60</xref>]. According to traditional Chinese medicine theory, PSCI is categorized under TCM syndromes including “amnesia”, “memory loss” and “cognitive retardation”. Its pathogenesis is considered to be centered on cerebral dysfunction and visceral disharmony, with core pathological changes involving phlegm-dampness retention, blood stasis, qi stagnation and kidney essence insufficiency. Notably, the formation of phlegm and blood stasis is frequently induced by qi deficiency and qi stagnation, and cerebral dysfunction is further aggravated by inadequate qi and blood nourishment to the brain [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B61">61</xref>]. Growing evidence has identified tonifying qi and circulating blood therapies as the fundamental therapeutic principles of TCM for PSCI [<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <sec id="sec4dot1">
        <title>4.1. Major Findings</title>
        <p>This study is the first systematic review and network meta-analysis to specifically investigate the efficacy and safety of tonifying qi and circulating blood Chinese herbal medicine as adjunctive therapy with conventional Western medicine for PSCI. The core finding is that this combined therapeutic strategy exerts a significant positive effect on improving cognitive and neurological functions in PSCI patients, which verifies the clinical applicability of the TCM therapeutic principle of tonifying qi and activating blood circulation for PSCI targeting the core pathogenesis of qi deficiency and blood stasis. Notably, Buyang Huanwu Decoction and its modified formulations (Naoxintong capsules, Yiqi Tongluo granules, Qishen Huanwu capsules, Fuzheng capsules) show consistent superiority across multiple cognitive and neurological outcome assessments. This result is not accidental but highly consistent with the TCM pathological understanding of PSCI, as these formulations are precisely designed to tonify qi and resolve blood stasis, directly addressing the key pathological link of cerebral orifice malnourishment due to qi and blood deficiency in PSCI.</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Pharmacological Mechanism</title>
        <p>Buyang Huanwu Decoction, a classical TCM formula for qi deficiency and blood stasis syndrome in stroke, is composed of Astragali Radix as the monarch herb to tonify primordial qi, combined with blood-activating and stasis-resolving herbs such as Chuanxiong Rhizoma, Carthami Flos and Pheretima. Its core efficacy of tonifying qi and activating blood circulation aligns with the core pathogenesis of PSCI, laying a theoretical foundation for its clinical efficacy. Based on the core mechanism of action, its modified formulations further optimize their pharmacological effects to adapt to the complex pathological characteristics of PSCI. Naoxintong capsule, grounded in the “concurrent treatment of brain and heart” theory, enhances Buyang Huanwu decoction by integrating additional circulate blood and transform stasis herbs [<xref ref-type="bibr" rid="B62">62</xref>]. This study confirms its optimal efficacy in reducing the National Institutes of Health Stroke Scale (NIHSS) score, which is consistent with previous findings that “Naoxintong Capsules can improve neurological deficits in patients with acute ischemic stroke.” Animal studies have also verified its ability to regulate inflammatory cytokines and improve memory in mice [<xref ref-type="bibr" rid="B63">63</xref>][<xref ref-type="bibr" rid="B64">64</xref>]. Yiqi Tongluo granule, composed of Astragalus membranaceus, Salvia miltiorrhiza, Lumbricus, Ligusticum chuanxiong, and Carthamus tinctorius, can regulate ROS/ATP metabolism to alleviate mitochondrial damage, enhance the viability of hypoxic neurons, and promote cerebral angiogenesis, thereby improving neurological function in rats with cerebral infarction [<xref ref-type="bibr" rid="B65">65</xref>][<xref ref-type="bibr" rid="B66">66</xref>]. It exhibits excellent efficacy in improving cognitive function, as reflected by MoCA score. Fuzheng Capsules are mainly formulated based on the qi-tonifying and blood-activating principles of Buyang Huanwu Decoction, supplemented with kidney-tonifying and phlegm-resolving herbs. They have been proven to significantly improve cognitive function and protect against free radical damage. Furthermore, multiple meta-analyses have confirmed the remarkable efficacy of Buyang Huanwu Decoction in the treatment of stroke and its recovery phase, which is likely mediated by the activation of the AMPK/mTOR and PI3K-AKT signaling pathways [<xref ref-type="bibr" rid="B67">67</xref>][<xref ref-type="bibr" rid="B68">68</xref>]. This further substantiates the efficacy and mechanistic rationality of Buyang Huanwu Decoction and its modified formulations.</p>
      </sec>
      <sec id="sec4dot3">
        <title>4.3. Strengths and Limitations</title>
        <p>The principal strength of this study lies in its focus on the core pathogenesis of “qi deficiency and blood stasis” in PSCI. This study represents the first dedicated analysis of traditional Chinese medicines with the effects of tonifying qi and circulating blood. This research approach retains and emphasizes the unique therapeutic characteristics of this specific therapeutic principle. Methodologically, this study first verified via systematic review that herbs for tonifying qi and circulating blood circulation are superior to conventional Western medicines. Subsequently, a network meta-analysis was adopted to integrate direct and indirect evidence for the quantitative comparison of diverse interventions, thereby improving the reliability of the research results.</p>
        <p>Despite the valuable insights obtained, this study has several unavoidable limitations. First, the inclusion of only Chinese-language published studies may lead to potential language bias. Second, the methodological quality of the included trials was generally suboptimal, especially in terms of the inadequate reporting of allocation concealment and blinding measures in most studies. Although the difficulty in blinding complex herbal decoctions is an inherent challenge, this does not negate the existence of the aforementioned limitation. Finally, the underreporting of adverse events in nearly half of the included studies compromises the robustness of the safety evaluation.</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>In conclusion, this systematic review and network meta-analysis is the first to integrate evidence on the efficacy of tonifying qi and circulating blood Chinese herbal medicine with conventional Western medicine for PSCI and provides preliminary evidence for this combined therapy. Results indicate that these Chinese herbal medicines may hold potential for improving cognitive and neurological functions in patients with PSCI, particularly Buyang Huanwu decoction and its modified formulations. These preliminary findings need to be confirmed by large-sample, multicenter, double-blind randomized controlled trials with standardized study protocols before clinical recommendation.</p>
    </sec>
    <sec id="sec6">
      <title>Funding</title>
      <p>This work was supported by grants from the Science and Technology Planning Project of Guangdong Province (2024A1515012818), the Guangzhou Key R&amp;D Program Project (2023B03J1343, 2024B01J1232), the Fundamental Research Funds for the Central Universities (21623114), as well as the Scientific Research Fund Project of Yunnan Provincial Department of Education (2025J0183).</p>
    </sec>
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