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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<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">1530152</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1530152</article-id>
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<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
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<title-group>
<article-title>Efficacy and safety of <italic>Prunella vulgaris</italic> L. combined with antithyroid drugs for hyperthyroidism: a systematic review and meta-analysis</article-title>
<alt-title alt-title-type="left-running-head">Wei 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.2025.1530152">10.3389/fphar.2025.1530152</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Maoying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Qiyao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Mingyi</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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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fan</surname>
<given-names>Yuyun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<name>
<surname>Li</surname>
<given-names>Mingdi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Dongzhimen Hospital, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Guang&#x2019;anmen Hospital</institution>, <institution>China Academy of Chinese Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Traditional Chinese Internal Medicine, Linyi People&#x2019;s Hospital</institution>, <addr-line>Linyi</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1014088/overview">Yongsheng Chen</ext-link>, Jinan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1425456/overview">Tshepo Mashela</ext-link>, University of Limpopo, South Africa</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2388986/overview">Sumanta Das</ext-link>, Indian Institute of Technology Madras, India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yuyun Fan, <email>fyytcm@163.com</email>; Mingdi Li, <email>mdlee2009@126.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1530152</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wei, Zhao, Yuan, Fan and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wei, Zhao, Yuan, Fan and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To systematically evaluate the efficacy and safety of <italic>Prunella vulgaris</italic> L. (PVL) preparations combined with antithyroid drugs (ATDs) for the treatment of hyperthyroidism.</p>
</sec>
<sec>
<title>Methods</title>
<p>Eight Chinese and English databases were searched for randomized controlled trials (RCTs) comparing PVL preparations combined with ATDs and ATDs for hyperthyroidism treatment. The Cochrane risk-of-bias assessment tool was used to evaluate the quality of included studies. Statistical analyses were performed using the Revman 5.3 software. Stata software (version 16.0) was used to detect publication bias. The GRADE system was used to assess the level of evidence.</p>
</sec>
<sec>
<title>Results</title>
<p>Seventeen studies were analyzed. The total sample size was 1,366 patients. Meta-analysis revealed that treatment with PVL preparations in combination with ATDs effectively reduced free triiodothyronine [standardized mean difference (SMD) &#x3d; &#x2212;0.98, 95%CI (&#x2212;1.39, &#x2212;0.57), <italic>P</italic> &#x3c; 0.00001], free thyroxine [SMD &#x3d; &#x2212;0.82, 95% confidence interval (CI) (&#x2212;1.16, &#x2212;0.47), <italic>P</italic> &#x3c; 0.00001], thyrotropin receptor antibody [SMD &#x3d; &#x2212;1.11, 95%CI (&#x2212;1.52, &#x2212;0.71), <italic>P</italic> &#x3c; 0.00001], thyroid isthmus thickness [mean difference (MD) &#x3d; &#x2212;0.13, 95%CI (&#x2212;0.15, &#x2212;0.10), <italic>P</italic> &#x3c; 0.00001], width of left thyroid lobe [MD &#x3d; &#x2212;0.22, 95%CI (&#x2212;0.27, &#x2212;0.17), <italic>P</italic> &#x3c; 0.00001], thickness of left thyroid lobe [MD &#x3d; - 0.22, 95%CI (&#x2212;0.33, &#x2212;0.10), <italic>P</italic> &#x3d; 0.0003], length of left thyroid lobe [MD &#x3d; &#x2212;0.63, 95%CI (&#x2212;0.79, &#x2212;0.47), <italic>P</italic> &#x3c; 0.00001], width of right thyroid lobe [MD &#x3d; &#x2212;0.21, 95%CI (&#x2212;0.26, &#x2212;0.16), <italic>P</italic> &#x3c; 0.00001], thickness of right thyroid lobe [MD &#x3d; &#x2212;0.27, 95%CI (&#x2212;0.32, &#x2212;0.22), <italic>P</italic> &#x3c; 0.00001], length of right thyroid lobe [MD &#x3d; &#x2212;0.45, 95%CI (&#x2212;0.61, &#x2212;0.28), <italic>P</italic> &#x3c; 0.00001], incidence of adverse events [risk ratio (RR) &#x3d; 0.34, 95%CI (0.24, 0.50), <italic>P</italic> &#x3c; 0.00001], tumor necrosis factor-&#x3b1; [SMD &#x3d; &#x2212;2.05, 95%CI (&#x2212;2.85, &#x2212;1.25), <italic>P</italic> &#x3c; 0.00001], and increasing thyroid-stimulating hormone [SMD &#x3d; 0.71, 95%CI (0.43, 0.99), <italic>P</italic> &#x3c; 0.00001], and interleukin-10 [MD &#x3d; 1.73, 95%CI (1.35, 2.10), <italic>P</italic> &#x3c; 0.00001] better than that of ATDs alone. Combination therapy with PVL preparations was comparable to the efficacy of ATDs alone in improving relapse rates and interleukin-6 and interferon gamma levels.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Treatment of hyperthyroidism with PVL preparations in combination with ATDs was superior to treatment with ATDs alone in terms of improvements in thyroid function, thyroid antibodies, thyroid gland size, inflammation, and incidence of adverse events. However, owing to the low strength of evidence from the included studies, this conclusion requires further validation in more high-quality RCTs.</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 CRD42024572591.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hyperthyroidism</kwd>
<kwd>
<italic>Prunella vulgaris</italic> L.</kwd>
<kwd>antithyroid drugs</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Ethnopharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Hyperthyroidism is an endocrine disorder caused by inappropriate and sustained synthesis and secretion of excess thyroid hormones by the thyroid gland. Clinical manifestations are primarily caused by excess circulating thyroid hormones, and the severity is related to factors such as the length of history, degree of hormone elevation, and age. Common symptoms include a fear of heat, excessive sweating, excessive appetite, weight loss, fatigue, palpitations, anxiety, irritability, and insomnia. Hyperthyroidism affects 0.2%&#x2013;1.3% of the global population (<xref ref-type="bibr" rid="B44">Wiersinga et al., 2023</xref>). The most common cause of hyperthyroidism is Graves&#x2019; disease (GD) or toxic nodular goiter. A study in 31 provinces in China reported prevalence rates of 0.78% for overt hyperthyroidism, 0.44% for subclinical hyperthyroidism, and 0.53% for GD (<xref ref-type="bibr" rid="B26">Li et al., 2020b</xref>). Overt hyperthyroidism and GD are most common in women (overt hyperthyroidism: 1.16% VS 0.64%, <italic>P</italic> &#x3c; 0.001; GD: 0.65% VS 0.37%, <italic>P</italic> &#x3c; 0.001) (<xref ref-type="bibr" rid="B41">Wang et al., 2021</xref>). The peak prevalence is observed between 30 and 60 years of age, with a significant decrease in prevalence after 60 years of age (<xref ref-type="bibr" rid="B41">Wang et al., 2021</xref>).</p>
<p>Almost all the cells in the body are affected by thyroid hormones. If left untreated, hyperthyroidism can lead to an increased risk of atrial fibrillation, osteoporosis, and death (<xref ref-type="bibr" rid="B21">Lee and Pearce, 2023</xref>; <xref ref-type="bibr" rid="B20">Kostopoulos and Effraimidis, 2024</xref>). A cross-sectional study suggested that hyperthyroidism significantly increased the risk of osteoarthritis [odds ratio (OR) &#x3d; 2.23, 95% confidence interval (CI) &#x3d; 1.2&#x2013;4.17] (<xref ref-type="bibr" rid="B60">Zhao et al., 2024</xref>). <xref ref-type="bibr" rid="B2">Bode et al. (2022)</xref> found that patients have a higher risk of clinical depression than those with normal thyroid function (OR &#x3d; 1.67, 95% CI &#x3d; 1.49&#x2013;1.87). Antithyroid drugs (ATDs), radioiodine therapy, and surgery are the current treatment options for hyperthyroidism. ATDs are the first-line treatment for GD. However, ATDs have the disadvantages of a long treatment period, susceptibility to adverse reactions during treatment (e.g., impaired liver function, peripheral blood leukopenia, and allergic rashes), and susceptibility to relapse after drug discontinuation.</p>
<p>Chinese herbal medicines are effective in the treatment of hyperthyroidism (<xref ref-type="bibr" rid="B31">Ma et al., 2023</xref>; <xref ref-type="bibr" rid="B53">Yang et al., 2024</xref>). In 2010, <xref ref-type="bibr" rid="B4">Chang and Huang (2010)</xref> reported on a 33-year-old woman with GD who developed urticaria and itchy skin after taking ATDs and sought traditional Chinese medicine treatment. After 3&#xa0;years of treatment with Jia Wei Xiao Yao San plus <italic>Prunella vulgaris</italic> L. (PVL, also known as Xiakucao), <italic>Fritillaria thunbergii</italic> Miq. (Liliaceae; Fritillariae thunbergii bulbus), and <italic>Ostrea gigas</italic> Thunberg (Ostreidae; Ostreae concha), her symptoms subsided, and her thyroid function returned to normal. Similarly, <xref ref-type="bibr" rid="B28">Lin et al. (2021)</xref> reported that Jia Wei Xiao Yao San, PVL, <italic>Fritillaria thunbergii</italic> Miq. (Liliaceae; Fritillariae thunbergii bulbus), and <italic>Ostrea gigas</italic> Thunberg (Ostreidae; Ostreae concha) are safe and effective formulations for the treatment of hyperthyroidism. PVL was first recorded in Shen Nong&#x2019;s Classic of Materia Medica (Shen Nong Ben Cao Jing). It is the dried fruit spike of PVL of the Labiatae family. It is nominated because of its blooming characteristics in spring and withering after summer. PVL is bitter, pungent, and cold, and enters the liver and gall bladder meridians, according to the 2020 edition of the Chinese Pharmacopoeia. It clears and purges the liver fire, brightens the eyes, dissipates nodulation, and reduces swelling. Modern pharmacological studies have shown that PVL has various biological activities, including antioxidant, anti-inflammatory, immunomodulatory, antitumor, antiviral, antibacterial, antihypertensive, hypoglycemic, hypolipidemic, and hepatoprotective activities (<xref ref-type="bibr" rid="B34">Pan et al., 2022</xref>). As a clinically used botanical drug, PVL preparations (PVL capsules, PVL granules, PVL tablets, PVL oral solution, etc.) are recommended in China for the treatment of a variety of thyroid disorders, such as GD, goiter, nodular thyroid disease, and Hashimoto&#x2019;s thyroiditis (<xref ref-type="bibr" rid="B39">Standardization Project Team for the Guidelines on Clinical Application of Chinese Patent Medicine for the Treatment of Dominant Diseases, 2022</xref>; <xref ref-type="bibr" rid="B9">Experts of Clinical Application of Xiakucao Oral Liquid, 2020</xref>). The addition of PVL preparations to ATD therapy improves clinical efficacy, reduces adverse events, and decreases relapse rates in patients with hyperthyroidism (<xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B56">Yue and Shi, 2020</xref>). However, these studies were single-center, small-sample clinical trials. In this study, we systematically evaluated the efficacy and safety of PVL preparations combined with ATDs for the treatment of hyperthyroidism to provide evidence for their clinical application.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>This study was performed in accordance with the Cochrane Handbook for Systematic Reviews (<xref ref-type="bibr" rid="B12">Higgins et al., 2021</xref>) and the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B33">Page et al., 2021</xref>). The details are presented in <xref ref-type="sec" rid="s15">Supplementary Table S1</xref>. The study protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO). The registration number was CRD42021297266.</p>
<sec id="s2-1">
<title>Eligibility criteria</title>
<p>
<list list-type="simple">
<list-item>
<p>(1) Types of studies: randomized controlled trials (RCTs).</p>
</list-item>
<list-item>
<p>(2) Participants: Clinical Diagnosis of Hyperthyroidism. No restrictions were imposed on the age, sex, disease duration, region, or race. The diagnostic criteria were based on the guidelines for the Diagnosis and Treatment of Thyroid Diseases in China (2007) (<xref ref-type="bibr" rid="B46">Writing Group of Chinese Thyroid Disease Diagnosis and Treatment Guidelines, 2007</xref>), the guidelines for Primary Care of Hyperthyroidism (2019) (<xref ref-type="bibr" rid="B8">Chinese Society of General Practice, Editorial Committee of the Chinese Journal of General Practitioners of the Chinese Medical Association, 2019</xref>) and related books.</p>
</list-item>
<list-item>
<p>(3) Types of Intervention: The control group was treated with oral ATDs (methimazole, carbimazole, or propylthiouracil). The experimental group was orally administered the PVL preparations in combination with ATDs. There were no limits to the dosage form, duration of treatment, or daily dosage of the PVL preparations.</p>
</list-item>
<list-item>
<p>(4) Types of outcomes: Primary outcomes were free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH). Secondary outcomes were thyrotropin receptor antibody (TRAb), thyroid gland size, tumor necrosis factor-&#x3b1; (TNF-&#x3b1;), interleukin-6 (IL-6), interleukin-10 (IL-10), interferon gamma (IFN-&#x3b3;), relapse rate, and adverse events.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-2">
<title>Exclusion criteria</title>
<p>(1) Animal experiments, case reports, retrospective studies, conference abstracts, reviews, meta-analyses, etc.; (2) Literature for which it was not possible to access the full text or extract valid data. (3) Duplicated studies (4) Experimental group used botanical drugs other than the PVL preparations. (5) There have been no previous studies on these outcome indicators.</p>
</sec>
<sec id="s2-3">
<title>Search strategies</title>
<p>Computerized searches were performed on eight major Chinese and English databases: PubMed, Cochrane Library, Embase, Web of Science, Wanfang Data, China National Knowledge Infrastructure (CNKI), Chongqing Chinese Science and Technology Journal Database (VIP), and China BioMedical Literature Service System (CBM) to collect RCTs on PVL preparations combined with ATDs for the treatment of hyperthyroidism. The search period was from the establishment of each database until 18 July 2024. The search was conducted using a combination of subject terms and free words. The key search terms include &#x201c;Hyperthyroidism, or Hyperthyroid, or Graves&#x2019; disease,&#x201d; and &#x201c;Prunella vulgaris, or Prunella, or Xiakucao.&#x201d; Additionally, we manually searched the references of the included studies to obtain additional relevant studies. The details of the search are presented in <xref ref-type="sec" rid="s15">Supplementary Table S2</xref>.</p>
</sec>
<sec id="s2-4">
<title>Study selection and data extraction</title>
<p>After eliminating duplicates using NoteExpress V3.4.0.8878 document management software, the literature was initially screened by reading titles and abstracts according to the inclusion and exclusion criteria. After excluding studies that did not meet the inclusion criteria, the remaining literature was read in its entirety to determine the final inclusion. Literature screening and data extraction were performed independently by two researchers and crosschecked at the end of each step. In cases of disagreement, a decision was made through discussion or after conferring with a third researcher. An Excel spreadsheet was used to extract the feature information of the included studies. The extraction included (1) basic information about the study, such as the first author, year of publication, and sample size; (2) basic information about the study participants, such as age, sex, disease duration, and diagnostic criteria; (3) interventions in the experimental and control groups; (4) outcomes; (5) methodological quality assessment entries. If an outcome was measured at more than one time point, data from the longest time point were included.</p>
</sec>
<sec id="s2-5">
<title>Assessment of risk of bias</title>
<p>The included RCTs were evaluated for risk of bias by two researchers using the Cochrane risk-of-bias assessment tool. If there were discrepancies, a decision was made through discussion or after conferring with a third researcher. Entries for the methodological quality evaluation included random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessments, incomplete outcome data, selective reporting, and other biases. Each item was categorized as &#x201c;low risk,&#x201d; &#x201c;unclear,&#x201d; or &#x201c;high risk&#x201d; according to the level of risk of bias.</p>
</sec>
<sec id="s2-6">
<title>Evidence quality evaluation</title>
<p>The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was used to grade the quality of evidence for the outcomes of the included studies. The evaluation included five aspects: study limitations, inconsistencies, indirectness, imprecision, and publication bias.</p>
</sec>
<sec id="s2-7">
<title>Data synthesis and statistical analysis</title>
<p>Statistical analyses were performed using the Revman 5.3 software. For dichotomous variables, the risk ratio (RR) was used as an effect size. Continuous variables were defined as the mean difference (MD) or standardized mean difference (SMD) as effect sizes. A 95% confidence interval (CI) was calculated for each effect size. When the data reported in the included studies were presented as medians and quartiles, the mean and standard deviation were estimated by referring to the relevant literature (<xref ref-type="bibr" rid="B30">Luo et al., 2018</xref>; <xref ref-type="bibr" rid="B40">Wan et al., 2014</xref>). Heterogeneity between the included studies was analyzed using Cochran&#x2019;s Q test and combined with I<sup>2</sup> to quantify the magnitude of heterogeneity. According to the Cochrane Handbook, I<sup>2</sup> &#x2265; 25% is considered mild heterogeneity, I<sup>2</sup> &#x2265; 50% is considered moderate heterogeneity, and I<sup>2</sup> &#x2265; 75% is considered severe heterogeneity. If the heterogeneity among the studies was small (<italic>P</italic> &#x3e; 0.1, I<sup>2</sup> &#x2264; 50%), a meta-analysis was performed using a fixed-effects model. Conversely (<italic>P</italic> &#x3c; 0.1, I<sup>2</sup> &#x3e; 50%), a meta-analysis was performed using a random-effects model. For outcomes with significant heterogeneity (I<sup>2</sup> &#x2265; 50%), this study plans to conduct subgroup analysis for type of PVL preparations, duration of treatment, and sample size to explore the sources of heterogeneity. A sensitivity analysis was conducted by omitting individual studies to assess the robustness of the synthesized results. When there were no fewer than 10 included studies for an outcome indicator, the presence of publication bias was analyzed using Egger&#x2019;s test (Stata 16.0 software). The quality of evidence was evaluated using the GRADE score.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Study selection</title>
<p>A total of 484 relevant documents were retrieved using the search strategy. A total of 309 articles were obtained after the software and manual elimination of duplicate studies. Titles and abstracts were read to exclude 280 documents that were not relevant to the theme. The remaining 29 documents were read in full, and 12 non-compliant documents were excluded (three non-RCTs, 1 not reporting relevant outcomes, four duplicate publications, three incorrect interventions, and one data error). Ultimately, 17 studies were included in the meta-analysis. The selection process is illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the study selection process.</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Study characteristics</title>
<p>All 17 included RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>) were single-center clinical trials. All study sites were located in mainland China. The selected studies were published between 2007 and 2023. A total of 1,366 participants were enrolled in 17 studies, including 683 in the experimental group and 683 in the control group. The maximum and minimum sample sizes were 120 and 56, respectively. The ATDs used in the 16 RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>) was methimazole. The ATDs used in one RCT (<xref ref-type="bibr" rid="B66">Zou, 2016</xref>) was methimazole in combination with propylthiouracil. The dosage forms of PVL were analyzed: six RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>) used PVL oral liquid, three RCTs (<xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>) used PVL capsules, and eight RCTs (<xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>) used PVL granules. Treatment duration was analyzed: 11 RCTs (<xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>) had a duration of less than 6 months and 6 RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>) had a duration of greater than or equal to 6 months. Six RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>) described described the syndromes to which patients with hyperthyroidism belonged, including two (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>) on the syndrome of exuberant fire of the heart and liver, three (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>) on the syndrome of exuberance of liver fire, and one (<xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>) on the pattern of qi stagnation and phlegm coagulation. All studies reported comparable baseline characteristics (e.g., patient age, sex, and disease duration). The characteristics of the included studies are summarized 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 align="center">Study ID</th>
<th align="center">Sample size (E/C)</th>
<th align="center">Age (year)</th>
<th align="center">Male/Female</th>
<th align="center">Disease duration</th>
<th align="center">Intervention(s)</th>
<th align="center">Comparators</th>
<th align="center">Treatment duration</th>
<th align="center">TCM syndrome</th>
<th align="center">Outcomes</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B3">Chai et al. (2020)</xref>
</td>
<td rowspan="2" align="center">50/50</td>
<td align="center">E: 48.27 &#xb1; 10.93</td>
<td align="center">E: 18/32</td>
<td align="center">E: 3.2 &#xb1; 1.4(y)</td>
<td rowspan="2" align="center">XKC oral liquid 10&#xa0;mL bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">48w</td>
<td rowspan="2" align="center">Syndrome of effulgent heart-liver fire</td>
<td rowspan="2" align="center">1, 2, 3, 4, 5, 10, 11</td>
</tr>
<tr>
<td align="center">C: 45.83 &#xb1; 11.65</td>
<td align="center">C: 15/35</td>
<td align="center">C: 3.6 &#xb1; 1.8(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B6">Chen (2023)</xref>
</td>
<td rowspan="2" align="center">28/28</td>
<td align="center">E: 37.96 &#xb1; 3.46</td>
<td align="center">E: 8/20</td>
<td align="center">E: 2.65 &#xb1; 0.63(m)</td>
<td rowspan="2" align="center">XKC oral liquid 10&#xa0;mL bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">6m</td>
<td rowspan="2" align="center">Intense liver fire pattern</td>
<td rowspan="2" align="center">1, 2, 3, 4, 5, 10, 11</td>
</tr>
<tr>
<td align="center">C: 38.23 &#xb1; 3.53</td>
<td align="center">C: 7/21</td>
<td align="center">C: 2.63 &#xb1; 0.67(m)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B11">Guo (2018)</xref>
</td>
<td rowspan="2" align="center">30/32</td>
<td align="center">E: 37.73 &#xb1; 11.20</td>
<td align="center">E: 9/21</td>
<td align="center">E: 1.56 &#xb1; 1.38(m)</td>
<td rowspan="2" align="center">XKC capsule 0.7g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">8w</td>
<td rowspan="2" align="center">Intense liver fire pattern</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 35.13 &#xb1; 9.65</td>
<td align="center">C: 13/19</td>
<td align="center">C: 2.04 &#xb1; 2.52(m)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B15">Jia and Wei (2022)</xref>
</td>
<td rowspan="2" align="center">32/32</td>
<td align="center">E: 39.06 &#xb1; 7.68</td>
<td align="center">E: 11/21</td>
<td align="center">E: 2.32 &#xb1; 0.58(y)</td>
<td rowspan="2" align="center">XKC capsule 0.7g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">90d</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 38.46 &#xb1; 8.44</td>
<td align="center">C: 10/22</td>
<td align="center">C: 2.23 &#xb1; 0.64(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B16">Jiang et al. (2022)</xref>
</td>
<td rowspan="2" align="center">40/40</td>
<td align="center">E: 36.03 &#xb1; 7.47</td>
<td align="center">E: 7/33</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">XKC granule 9g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">2m</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 35.87 &#xb1; 7.24</td>
<td align="center">C: 9/31</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B17">Jin and Ye (2023)</xref>
</td>
<td rowspan="2" align="center">39/39</td>
<td align="center">E: 42.35 &#xb1; 7.13</td>
<td align="center">E: 15/24</td>
<td align="center">E: 1.36 &#xb1; 0.67(y)</td>
<td rowspan="2" align="center">XKC granule 2g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">3m</td>
<td rowspan="2" align="center">Pattern of qi stagnating and phlegm congealing</td>
<td rowspan="2" align="center">1, 2, 3, 4</td>
</tr>
<tr>
<td align="center">C: 41.20 &#xb1; 8.05</td>
<td align="center">C: 13/26</td>
<td align="center">C: 1.41 &#xb1; 0.46(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B18">Kan and Yi (2020)</xref>
</td>
<td rowspan="2" align="center">43/43</td>
<td align="center">E: 42.56 &#xb1; 5.32</td>
<td align="center">E: 18/25</td>
<td align="center">E: 2.21 &#xb1; 1.03(y)</td>
<td rowspan="2" align="center">XKC granule 2g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">3m</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 6, 7, 8, 9, 11</td>
</tr>
<tr>
<td align="center">C: 43.17 &#xb1; 5.48</td>
<td align="center">C: 16/27</td>
<td align="center">C: 2.45 &#xb1; 0.95(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B27">Liang (2010)</xref>
</td>
<td rowspan="2" align="center">30/30</td>
<td align="center">E: 38.4 &#xb1; 12.6</td>
<td align="center">E: 9/21</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">XKC granule 2g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">12w</td>
<td rowspan="2" align="center">Syndrome of effulgent heart-liver fire</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 39.7 &#xb1; 11.8</td>
<td align="center">C: 10/20</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B29">Lu and Xiao (2018)</xref>
</td>
<td rowspan="2" align="center">40/40</td>
<td align="center">E: 36.48 &#xb1; 10.19</td>
<td align="center">E: 22/18</td>
<td align="center">E: 0.42 &#xb1; 0.22(y)</td>
<td rowspan="2" align="center">XKC capsule 0.7g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">90d</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3</td>
</tr>
<tr>
<td align="center">C: 37.13 &#xb1; 11.56</td>
<td align="center">C: 17/23</td>
<td align="center">C: 0.53 &#xb1; 0.14(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B43">Wang et al. (2017)</xref>
</td>
<td rowspan="2" align="center">41/39</td>
<td rowspan="2" align="center">38 &#xb1; 6</td>
<td align="center">E: 13/28</td>
<td align="center">E: 5.3 &#xb1; 1.2(m)</td>
<td rowspan="2" align="center">XKC granule 9g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">12w</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 6, 7, 8, 9</td>
</tr>
<tr>
<td align="center">C: 12/27</td>
<td align="center">C: 5.4 &#xb1; 1.4(m)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B48">Wu (2012)</xref>
</td>
<td rowspan="2" align="center">60/60</td>
<td align="center">E: 32.16 &#xb1; 8.59</td>
<td align="center">E: 18/42</td>
<td align="center">E: 70 &#xb1; 28(d)</td>
<td rowspan="2" align="center">XKC oral liquid 10&#xa0;mL bid &#x2b; MMI, 2 months later, adjust it to XKC oral liquid 10&#xa0;mL qd &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">18m</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 5, 10</td>
</tr>
<tr>
<td align="center">C: 31.52 &#xb1; 8.73</td>
<td align="center">C: 16/44</td>
<td align="center">C: 68 &#xb1; 26(d)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B50">Xie et al. (2015)</xref>
</td>
<td align="center">43/43</td>
<td align="center">41.3 &#xb1; 2.3</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">XKC oral liquid 5&#xa0;mL bid &#x2b; MMI, 2 months later, adjust it to XKC oral liquid 5&#xa0;mL qd &#x2b; MMI</td>
<td align="center">MMI</td>
<td align="center">6m</td>
<td align="center">NR</td>
<td align="center">1, 2, 3, 5</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B51">Yang (2023)</xref>
</td>
<td rowspan="2" align="center">36/36</td>
<td align="center">E: 37.76 &#xb1; 11.44</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">XKC granule 15g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">8w</td>
<td rowspan="2" align="center">Intense liver fire pattern</td>
<td rowspan="2" align="center">1, 2, 3, 5, 6, 7,11</td>
</tr>
<tr>
<td align="center">C: 38.66 &#xb1; 10.69</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B52">Yang et al (2007)</xref>
</td>
<td rowspan="2" align="center">28/28</td>
<td rowspan="2" align="center">40.4 &#xb1; 12.3</td>
<td align="center">E: 11/17</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">XKC oral liquid 10&#xa0;mL bid &#x2b; MMI, 2 months later, adjust it to XKC oral liquid 10&#xa0;mL qd &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">6m</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 5</td>
</tr>
<tr>
<td align="center">C: 10/18</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B54">Yin (2016)</xref>
</td>
<td rowspan="2" align="center">49/49</td>
<td align="center">E: 37.8 &#xb1; 10.2</td>
<td align="center">E: 13/36</td>
<td align="center">E: 1.6 &#xb1; 0.5(y)</td>
<td rowspan="2" align="center">XKC granule 2g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">90d</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 37.9 &#xb1; 10.4</td>
<td align="center">C: 14/35</td>
<td align="center">C: 1.6 &#xb1; 0.6(y)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B62">Zheng (2021)</xref>
</td>
<td rowspan="2" align="center">49/49</td>
<td align="center">E: 43.69 &#xb1; 1.28</td>
<td align="center">E: 22/27</td>
<td align="center">E: 6.80 &#xb1; 0.52(m)</td>
<td rowspan="2" align="center">XKC granule 9g bid &#x2b; MMI</td>
<td rowspan="2" align="center">MMI</td>
<td rowspan="2" align="center">24m</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 11</td>
</tr>
<tr>
<td align="center">C: 43.70 &#xb1; 1.31</td>
<td align="center">C: 20/29</td>
<td align="center">C: 6.77 &#xb1; 0.56(m)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B66">Zou (2016)</xref>
</td>
<td rowspan="2" align="center">45/45</td>
<td align="center">E: 38.5 &#xb1; 6.7</td>
<td align="center">E: 11/34</td>
<td align="center">E: 2.4 &#xb1; 0.8(m)</td>
<td rowspan="2" align="center">XKC oral liquid 10&#xa0;mL bid &#x2b; MMI, PTU</td>
<td rowspan="2" align="center">MMI, PTU</td>
<td rowspan="2" align="center">12w</td>
<td rowspan="2" align="center">NR</td>
<td rowspan="2" align="center">1, 2, 3, 4, 5</td>
</tr>
<tr>
<td align="center">C: 37.8 &#xb1; 7.2</td>
<td align="center">C: 9/36</td>
<td align="center">C: 2.6 &#xb1; 0.7(m)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>E, experimental group; C, control group; XKC, xiakucao; MMI, methimazole; PTU, propylthiouracil; NR, not reported; d: day; m, month; y, year; 1, free triiodothyronine (FT3); 2, free thyroxine (FT4); 3, thyroid stimulating hormone (TSH); 4, thyrotropin receptor antibody (TRAb); 5, thyroid gland size; 6, tumor necrosis factor alpha (TNF-&#x3b1;); 7, interleukin-6 (IL-6); 8, interleukin-10 (IL-10); 9, interferon gamma (IFN-&#x3b3;); 10, relapse rate; 11, adverse events.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Study quality</title>
<p>Eleven RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>) reported specific methods of randomization (grouping using the random number table method) and were classified as low-risk. One study (<xref ref-type="bibr" rid="B54">Yin, 2016</xref>) was grouped by visit serial number (single or double) and rated as high risk. The remaining five studies (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>) did not describe a specific randomization method and only mentioned randomization, which was rated as unclear. One study (<xref ref-type="bibr" rid="B27">Liang, 2010</xref>) used closed envelopes to conceal the distribution scheme and was considered low risk. The allocation concealment methods were not adequately reported in the remaining studies; hence the risk of bias was rated as unclear. None of the studies reported the blinding of personnel and participants who were considered high-risk. Although none of the 17 RCTs mentioned blinding of the outcome assessment, the outcomes included were all objective indicators and were therefore considered low-risk. In terms of incomplete outcome data, two studies (<xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>) reported that participants were lost to follow-up, which may have affected the authenticity of the results. Therefore, we rated them as high-risk. For selective reporting, none of the protocols included in the study were retrieved from the Clinical Trials Registry platform and rated as unclear. Regarding other biases, six studies (<xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>) explicitly included patients with GD but did not report the key outcome of TRAb. These studies were rated as high risk. The risk of bias assessment is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Risk of bias summary.</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>Thyroid function and antibody</title>
<sec id="s4-1">
<title>Free triiodothyronine (FT3)</title>
<p>Seventeen RCTs (1,360 subjects) reported FT3 levels (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms in 7 RCTs were oral liquids, 3 RCTs were capsules, and 7 RCTs were granules. The heterogeneity test indicated high heterogeneity among the studies (<italic>P</italic> &#x3c; 0.00001; I<sup>2</sup> &#x3d; 92%). Therefore, meta-analysis was performed using a random-effects model. The combination of PVL preparations was more effective in reducing FT3 levels than treatment with ATDs alone [SMD &#x3d; &#x2212;0.98, 95%CI (&#x2212;1.39, &#x2212;0.57), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F3">Figure 3A</xref>). To explore the factors influencing heterogeneity, we performed meta-regression and subgroup analyses of the included studies according to the duration of intervention, type of PVL preparation, and sample size. Neither meta-regression nor subgroup analysis explained the source of heterogeneity (<xref ref-type="sec" rid="s15">Supplementary Figure S1</xref>; <xref ref-type="sec" rid="s15">Supplementary Tables S4, S6</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> free triiodothyronine (FT3), <bold>(B)</bold> free thyroxine (FT4), and <bold>(C)</bold> thyroid-stimulating hormone (TSH).</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g003.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>Free thyroxine (FT4)</title>
<p>FT4 levels were reported in 17 RCTs (1,360 subjects) (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms in 7 RCTs were oral liquids, 3 RCTs were capsules, and 7 RCTs were granules. The heterogeneity test indicated high heterogeneity among the studies (<italic>P</italic> &#x3c; 0.00001, I<sup>2</sup> &#x3d; 89%); therefore, meta-analysis was performed using a random-effects model. Treatment with PVL preparations in combination with ATDs was superior to treatment with ATDs alone in reducing FT4 levels [SMD &#x3d; &#x2212;0.82, 95% CI (&#x2212;1.16, &#x2212;0.47), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F3">Figure 3B</xref>). Heterogeneity between the studies was not explained by meta-regression or subgroup analyses (<xref ref-type="sec" rid="s15">Supplementary Figure S2</xref>; <xref ref-type="sec" rid="s15">Supplementary Tables S4, S6</xref>).</p>
</sec>
<sec id="s4-3">
<title>Thyroid-stimulating hormone (TSH)</title>
<p>Seventeen RCTs (1,360 subjects) reported the TSH levels (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B29">Lu and Xiao, 2018</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The heterogeneity test indicated high heterogeneity among the studies (<italic>P</italic> &#x3c; 0.00001, I<sup>2</sup> &#x3d; 83%); therefore, a meta-analysis was performed using a random-effects model. The combination of PVL preparations was more effective in improving TSH levels than treatment with ATDs alone [SMD &#x3d; 0.71, 95%CI (0.43, 0.99), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F3">Figure 3C</xref>). The subgroup analysis showed significantly less heterogeneity in the PVL capsule subgroup (I<sup>2</sup> &#x3d; 0%). This suggests that the type of PVL preparation may be an influencing factor of heterogeneity (<xref ref-type="sec" rid="s15">Supplementary Figure S3</xref>; <xref ref-type="sec" rid="s15">Supplementary Table S4</xref>). The relatively consistent intervention regimen in the PVL capsule subgroup (such as the dosage, manufacturer, and specifications of the PVL capsules) throughout the study may contribute to reducing heterogeneity.</p>
</sec>
<sec id="s4-4">
<title>Thyrotropin receptor antibody (TRAb)</title>
<p>TRAb was reported in four RCTs (324 participants) (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B17">Jin and Ye, 2023</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms in the three RCTs were oral liquids, and 1 RCT was granules. Heterogeneity between the studies was significant (<italic>P</italic> &#x3d; 0.04, I<sup>2</sup> &#x3d; 65%); therefore, a meta-analysis was performed using a random-effects model. Treatment with PVL preparations in combination with ATDs was superior to treatment with ATDs alone in reducing TRAb levels [SMD &#x3d; &#x2212;1.11, 95%CI (&#x2212;1.52, &#x2212;0.71), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Heterogeneity among the studies was not explained by meta-regression or subgroup analyses (<xref ref-type="sec" rid="s15">Supplementary Figure S4</xref>; <xref ref-type="sec" rid="s15">Supplementary Table S4, S6</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> thyrotropin receptor antibody (TRAb) and <bold>(B)</bold> thyroid isthmus thickness (TIT).</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s5">
<title>Thyroid gland size</title>
<sec id="s5-1">
<title>Thyroid isthmus thickness (TIT)</title>
<p>TIT was reported in 4 RCTs (318 participants) (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>). The PVL dosage forms used in all four RCTs were oral liquids. There was no significant heterogeneity among the studies (<italic>P</italic> &#x3d; 0.32, I<sup>2</sup> &#x3d; 14%). Therefore, meta-analysis was performed using a fixed-effects model. The combination of PVL and oral liquid was effective in reducing TIT compared to treatment with ATDs alone [MD &#x3d; &#x2212;0.13, 95%CI (&#x2212;0.15, &#x2212;0.10), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
</sec>
<sec id="s5-2">
<title>Width of left thyroid lobe (WLTL)</title>
<p>Five RCTs (408 participants) reported on WLTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms used in all five RCTs were oral liquids. No heterogeneity was observed among the studies (<italic>P</italic> &#x3d; 0.71, I<sup>2</sup> &#x3d; 0). Therefore, meta-analysis was performed using a fixed-effects model. Treatment with PVL oral liquid in combination with ATDs was superior to treatment with ATDs alone in reducing WLTL [MD &#x3d; &#x2212;0.22, 95%CI (&#x2212;0.27, &#x2212;0.17), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F5">Figure 5A</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> width of left thyroid lobe (WLTL), <bold>(B)</bold> thickness of left thyroid lobe (TLTL), and <bold>(C)</bold> length of left thyroid lobe (LLTL).</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g005.tif"/>
</fig>
</sec>
<sec id="s5-3">
<title>Thickness of left thyroid lobe (TLTL)</title>
<p>Five RCTs (408 participants) reported on TLTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms used in all five RCTs were oral liquids. There was significant heterogeneity among the studies (<italic>P</italic> &#x3d; 0.004, I<sup>2</sup> &#x3d; 74%); therefore, meta-analysis was performed using a random-effects model. Treatment with PVL plus ATDs was superior to treatment with ATDs alone in attenuating TLTL [MD &#x3d; &#x2212;0.22, 95% CI (&#x2212;0.33, &#x2212;0.10), <italic>P</italic> &#x3d; 0.0003] (<xref ref-type="fig" rid="F5">Figure 5B</xref>). Subgroup analysis showed significantly less heterogeneity in the subgroup with sample sizes of &#x3c;80 (I<sup>2</sup> &#x3d; 0%). This suggests that the sample size may be one of the factors influencing heterogeneity (<xref ref-type="sec" rid="s15">Supplementary Figur S5</xref>; <xref ref-type="sec" rid="s15">Supplementary Table S4</xref>).</p>
</sec>
<sec id="s5-4">
<title>Length of left thyroid lobe (LLTL)</title>
<p>Four RCTs (318 participants) reported on LLTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>). Meta-analysis was performed using a fixed-effects model because there was no heterogeneity among the studies (<italic>P</italic> &#x3d; 0.57, I<sup>2</sup> &#x3d; 0%). Treatment with PVL preparations in combination with ATDs was superior to treatment with ATDs alone in attenuating LLTL [MD &#x3d; &#x2212;0.63, 95%CI (&#x2212;0.79, &#x2212;0.47), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F5">Figure 5C</xref>).</p>
</sec>
<sec id="s5-5">
<title>Width of right thyroid lobe (WRTL)</title>
<p>Five RCTs (408 participants) reported on WRTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms used in all five RCTs were oral liquids. There was no significant heterogeneity among the studies (<italic>P</italic> &#x3d; 0.20, I<sup>2</sup> &#x3d; 33%); therefore, the effect sizes were combined using a fixed-effects model. Treatment with PVL plus ATDs was superior to treatment with ATDs alone in attenuating WRTL [MD &#x3d; &#x2212;0.21, 95%CI (&#x2212;0.26, &#x2212;0.16), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F6">Figure 6A</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> width of right thyroid lobe (WRTL), <bold>(B)</bold> thickness of right thyroid lobe (TRTL), and <bold>(C)</bold> length of right thyroid lobe (LRTL).</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g006.tif"/>
</fig>
</sec>
<sec id="s5-6">
<title>Thickness of right thyroid lobe (TRTL)</title>
<p>Five RCTs (408 participants) reported on TRTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B66">Zou, 2016</xref>). The PVL dosage forms used in all five RCTs were oral liquids. There was no significant heterogeneity among the studies (<italic>P</italic> &#x3d; 0.17, I<sup>2</sup> &#x3d; 37%). Therefore, meta-analysis was performed using a fixed-effects model. Treatment with PVL in combination with ATDs was more effective in reducing TRTL than ATDs alone [MD &#x3d; &#x2212;0.27, 95%CI (&#x2212;0.32, &#x2212;0.22), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
</sec>
<sec id="s5-7">
<title>Length of right thyroid lobe (LRTL)</title>
<p>Four RCTs (318 participants) reported on LRTL (<xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>; <xref ref-type="bibr" rid="B50">Xie et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Yang et al., 2007</xref>). The results of the heterogeneity test showed good homogeneity among the studies (<italic>P</italic> &#x3d; 0.98, I<sup>2</sup> &#x3d; 0%). Therefore, a meta-analysis was performed using a fixed-effects model. PVL oral liquid combined with ATDs treatment was superior to ATDs treatment alone in reducing LRTL [MD &#x3d; &#x2212;0.45, 95%CI (&#x2212;0.61, &#x2212;0.28), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F6">Figure 6C</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Cytokine</title>
<sec id="s6-1">
<title>Tumor necrosis factor-&#x3b1; (TNF-&#x3b1;)</title>
<p>Three RCTs (232 participants) reported on TNF-&#x3b1; (<xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>). The PVL dosage forms used in all three RCTs were granules. The heterogeneity among the studies was significant (<italic>P</italic> &#x3d; 0.002, I<sup>2</sup> &#x3d; 84%). Therefore, meta-analysis was performed using a random-effects model. The combination of PVL granules significantly reduced TNF-&#x3b1; compared with treatment with ATDs alone [SMD &#x3d; &#x2212;2.05, 95%CI (&#x2212;2.85, &#x2212;1.25), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F7">Figure 7A</xref>). Subgroup analysis showed significantly less heterogeneity in the subgroup with a sample size of no less than 80 (I<sup>2</sup> &#x3d; 0%). Thus, the sample size may be a potential source of heterogeneity (<xref ref-type="sec" rid="s15">Supplementary Figure S6A</xref>; <xref ref-type="sec" rid="s15">Supplementary Table S4</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> tumor necrosis factor-&#x3b1; (TNF-&#x3b1;), <bold>(B)</bold> interleukin-6 (IL-6), <bold>(C)</bold> interleukin-10 (IL-10), and <bold>(D)</bold> interferon gamma (IFN-&#x3b3;).</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g007.tif"/>
</fig>
</sec>
<sec id="s6-2">
<title>Interleukin-6 (IL-6)</title>
<p>Three RCTs (232 participants) reported IL-6 levels (<xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>). The PVL dosage forms used in all three RCTs were granules. The heterogeneity test revealed a high degree of heterogeneity among the studies (<italic>P</italic> &#x3d; 0.01, I<sup>2</sup> &#x3d; 77%); therefore, the random-effects model was used to combine effect sizes. Meta-analysis showed that treatment with PVL granules plus ATDs had no significant effect on IL-6 levels compared to treatment with ATDs alone [SMD &#x3d; &#x2212;0.29, 95% CI (&#x2212;0.83, 0.26), <italic>P</italic> &#x3d; 0.30] (<xref ref-type="fig" rid="F7">Figure 7B</xref>). In the subgroup with a sample size of no less than 80, I<sup>2</sup> decreased from 77% to 0%. This suggests that sample size may be a source of heterogeneity (<xref ref-type="sec" rid="s15">Supplementary Figure S6B</xref>; <xref ref-type="sec" rid="s15">Supplementary Table S4</xref>).</p>
</sec>
<sec id="s6-3">
<title>Interleukin-10 (IL-10)</title>
<p>Two RCTs (166 participants) reported IL-10 levels (<xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>). The PVL dosage forms used in all 2 RCTs were granules. The heterogeneity test revealed no heterogeneity between the studies (<italic>P</italic> &#x3d; 0.98, I<sup>2</sup> &#x3d; 0%); therefore, a meta-analysis was performed using a fixed-effects model. Treatment with PVL granules combined with ATDs was superior to treatment with ATDs alone in elevating IL-10 levels [MD &#x3d; 1.73, 95%CI (1.35, 2.10), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F7">Figure 7C</xref>).</p>
</sec>
<sec id="s6-4">
<title>Interferon gamma (IFN-&#x3b3;)</title>
<p>Two RCTs (166 participants) reported IFN-&#x3b3; levels (<xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2017</xref>). The PVL dosage forms used in all 2 RCTs were granules. There was no heterogeneity among the studies (<italic>P</italic> &#x3d; 0.98, I<sup>2</sup> &#x3d; 0%); therefore, the effect sizes were combined using a fixed-effects model. Meta-analysis showed that treatment with PVL granules plus ATDs had no significant effect on IFN-&#x3b3; levels compared with treatment with ATDs alone [MD &#x3d; &#x2212;0.10, 95% CI (&#x2212;1.33, 1.12), P &#x3d; 0.87] (<xref ref-type="fig" rid="F7">Figure 7D</xref>).</p>
</sec>
<sec id="s6-5">
<title>Relapse rate</title>
<p>Three RCTs (276 participants) reported recurrence rates (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B48">Wu, 2012</xref>). The PVL dosage forms used in all three RCTs were oral liquids. Owing to the heterogeneity among the studies (<italic>P</italic> &#x3d; 0.10, I<sup>2</sup> &#x3d; 56%), a meta-analysis was performed using a random-effects model. The results showed no significant difference in the recurrence rate between the experimental group and control group [RR &#x3d; 0.35, 95%CI (0.10, 1.24), <italic>P</italic> &#x3d; 0.10] (<xref ref-type="fig" rid="F8">Figure 8A</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Forest plots for the meta-analysis of <bold>(A)</bold> relapse rate and <bold>(B)</bold> adverse events.</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g008.tif"/>
</fig>
</sec>
<sec id="s6-6">
<title>Adverse events</title>
<p>Ten RCTs (770 participants) reported adverse events (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B27">Liang, 2010</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>). The results of the heterogeneity test showed good homogeneity among the studies (<italic>P</italic> &#x3d; 0.86, I<sup>2</sup> &#x3d; 0%); therefore, a meta-analysis was performed using a fixed-effects model. Treatment with PVL preparations in combination with ATDs was superior to treatment with ATDs alone in reducing adverse events [RR &#x3d; 0.34, 95%CI (0.24, 0.50), <italic>P</italic> &#x3c; 0.00001] (<xref ref-type="fig" rid="F8">Figure 8B</xref>). One RCT (<xref ref-type="bibr" rid="B27">Liang, 2010</xref>) reported no adverse events. Nine RCTs (<xref ref-type="bibr" rid="B3">Chai et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen, 2023</xref>; <xref ref-type="bibr" rid="B11">Guo, 2018</xref>; <xref ref-type="bibr" rid="B15">Jia and Wei, 2022</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Kan and Yi, 2020</xref>; <xref ref-type="bibr" rid="B51">Yang, 2023</xref>; <xref ref-type="bibr" rid="B54">Yin, 2016</xref>; <xref ref-type="bibr" rid="B62">Zheng, 2021</xref>) reported reported adverse reactions in 32 patients in the experimental group, including leukopenia in 3 cases, liver function abnormalities in 8 cases, secondary hypothyroidism in 1 case, gastrointestinal reactions such as nausea, vomiting, and diarrhea in 7 cases, burning sensation in the mouth in 1 case, skin rash in 6 cases, palpitations in 1 case, dizziness and headache in 2 cases, and anxiety and depression in 3 cases. Adverse reactions occurred in 93 patients in the control group, including 14 cases of leukopenia; 24 cases of liver function abnormalities; 5 cases of secondary hypothyroidism; 12 cases of gastrointestinal reactions such as nausea, vomiting, and diarrhea; 1 case of burning sensation in the mouth; 21 cases of skin rash; 1 case of palpitations; 9 cases of dizziness and headache; and 6 cases of anxiety and depression. The adverse reactions are detailed in <xref ref-type="sec" rid="s15">Supplementary Table S5</xref>.</p>
</sec>
<sec id="s6-7">
<title>Meta-regression</title>
<p>In this study, we performed univariate and multivariate meta-regression analyses of the FT3, FT4, and TSH levels. None of the three factors (duration of intervention, type of PVL preparation, and sample size) were statistically significant. <xref ref-type="sec" rid="s15">Supplementary Table S6</xref> presents the results of meta-regression.</p>
</sec>
<sec id="s6-8">
<title>Sensitivity analysis</title>
<p>In the sensitivity analysis of the recurrence rate, the meta-analysis results changed from [RR &#x3d; 0.35, 95%CI (0.10, 1.24), <italic>P</italic> &#x3d; 0.10] to [RR &#x3d; 0.15, 95%CI (0.04, 0.66), <italic>P</italic> &#x3d; 0.01] after excluding the study (<xref ref-type="bibr" rid="B48">Wu, 2012</xref>). The results of the sensitivity analysis for the remaining outcomes (e.g., FT3, FT4, TSH, and TRAb) were relatively robust. <xref ref-type="sec" rid="s15">Supplementary Table S7</xref> presents the sensitivity analysis results.</p>
</sec>
<sec id="s6-9">
<title>Publication bias</title>
<p>FT3, FT4, and TSH levels and adverse events were assessed for publication bias using Egger&#x2019;s test with Stata software. The results showed publication bias for FT3 (t &#x3d; &#x2212;3.66, <italic>P</italic> &#x3d; 0.002), FT4 (t &#x3d; &#x2212;2.86, <italic>P</italic> &#x3d; 0.012), and TSH (t &#x3d; 1.65, <italic>P</italic> &#x3d; 0.122). No publication bias was observed for adverse events (t &#x3d; &#x2212;0.38, <italic>P</italic> &#x3d; 0.713). <xref ref-type="fig" rid="F9">Figure 9</xref> shows the results for publication bias.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Publication bias analysis. <bold>(A)</bold> free triiodothyronine (FT3), <bold>(B)</bold> free thyroxine (FT4), <bold>(C)</bold> thyroid-stimulating hormone (TSH), and <bold>(D)</bold> adverse events.</p>
</caption>
<graphic xlink:href="fphar-16-1530152-g009.tif"/>
</fig>
</sec>
<sec id="s6-10">
<title>GRADE analysis</title>
<p>GRADE analysis was performed for each of the included outcomes. Adverse events were considered moderate-quality evidence. TSH was considered low-quality evidence. The remaining outcomes, such as FT3, FT4, TRAb, WLTL, TLTL, LLTL, TIT, WRTL, TRTL, LRTL, TNF-&#x3b1;, IL-6, IL-10, IFN-&#x3b3;, and relapse rate, were considered very low-quality evidence. <xref ref-type="sec" rid="s15">Supplementary Table S8</xref> shows the results of the GRADE analysis.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s7">
<title>Discussion</title>
<sec id="s7-1">
<title>Summary of results</title>
<p>Thyrotoxicosis is a clinical syndrome characterized by excess circulating thyroid hormones due to various causes, resulting in increased excitability and metabolic hyperactivity in the nervous, circulatory, and digestive systems. Hyperthyroidism is a well-known etiology of thyrotoxicosis. Among these, Graves hyperthyroidism is the most common. GD can damage several organs of the body. Graves&#x2019; ophthalmopathy (GO) of varying severity has been reported in 25%&#x2013;40% of patients with Graves&#x2019; hyperthyroidism (<xref ref-type="bibr" rid="B1">Bartalena et al., 2020</xref>). GD can cause fetal, neonatal, and maternal complications (<xref ref-type="bibr" rid="B14">Illouz et al., 2018</xref>). Furthermore, there have been case reports of severe pulmonary hypertension, cholestatic liver injury, heart failure, and pancytopenia in individual patients (<xref ref-type="bibr" rid="B32">Nigussie et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Sabra et al., 2024</xref>). The use of Chinese herbal medicines for the treatment of hyperthyroidism has attracted increasing attention in recent years. Botanical drugs can improve the efficacy of patients with GD, improve thyroid function, and reduce TRAb and thyroid peroxidase antibody levels (<xref ref-type="bibr" rid="B53">Yang et al., 2024</xref>). PVL is a popular botanical drug, that is found in Europe, Asia, Africa, North America, and Australia (<xref ref-type="bibr" rid="B42">Wang et al., 2019</xref>). Previous studies have shown the potential therapeutic value of PVL and its extracts in GD (<xref ref-type="bibr" rid="B59">Zhang et al., 2024</xref>), subacute thyroiditis (<xref ref-type="bibr" rid="B24">Li et al., 2019</xref>), Hashimoto&#x2019;s thyroiditis (<xref ref-type="bibr" rid="B5">Chen et al., 2020</xref>), and thyroid cancer (<xref ref-type="bibr" rid="B55">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="B38">Song et al., 2021</xref>). PVL has natural immunomodulatory activity (<xref ref-type="bibr" rid="B7">Chen et al., 2024</xref>). It may exert a protective effect on thyroid cells by inhibiting innate and adaptive immune responses and inducing cell death (<xref ref-type="bibr" rid="B5">Chen et al., 2020</xref>). In rats with experimental autoimmune thyroiditis (EAT), PVL increased 5-hydroxytryptamine levels and inhibited Th17 cell differentiation (<xref ref-type="bibr" rid="B57">Zhang et al., 2022</xref>). HMGB1 and Toll-like receptors are important biomarkers and potential therapeutic targets for autoimmune diseases (<xref ref-type="bibr" rid="B36">Ren et al., 2023</xref>). Inhibition of the HMGB1/TLR9/MyD88 pathway is also an important mechanism by which PV attenuates EAT (<xref ref-type="bibr" rid="B10">Guo et al., 2021</xref>). In addition, PV can alleviate autoimmune thyroiditis and improve pregnancy outcomes by suppressing Th1/Th17 immune responses and inducing Treg cell proliferation (<xref ref-type="bibr" rid="B64">Zhu et al., 2022</xref>).</p>
<p>The FT3, FT4, and TSH levels are the main indicators for the clinical diagnosis of hyperthyroidism. TRAb contributes to the etiology of thyrotoxicosis. It is an important indicator for the diagnosis of GD as well as for determining the prognosis of GD and discontinuation of ATD therapy. A study with seventeen trials on PVL preparations in combination with ATDs for the treatment of hyperthyroidism was included in this review. We quantified thyroid function (FT3, FT4, TSH), thyrotropin receptor antibody (TRAb), thyroid gland size (WLTL, TLTL, LLTL, TIT, WRTL, TRTL, LRTL), cytokines (TNF-&#x3b1;, IL-6, IL-10, IFN-&#x3b3;), relapse rate, and adverse events to comprehensively evaluate its efficacy and safety. We found that the combination of PVL preparations reduced FT3, FT4, and TRAb levels, increased TSH levels, and reduced goiter in patients with hyperthyroidism compared to treatment with ATDs alone. PVL effectively reduced FT3, FT4, and TRAb levels, goiter volume, and TSH levels in hyperthyroid patients (<xref ref-type="bibr" rid="B65">Zhu et al., 2021</xref>). A recent network meta-analysis showed that PVL granules were the most effective in lowering FT3 and FT4 levels in patients with GD compared with other botanical drugs, whereas PVL oral liquid performed the best in lowering TRAb and TPOAb levels in patients with GD (<xref ref-type="bibr" rid="B53">Yang et al., 2024</xref>). <xref ref-type="bibr" rid="B47">Wu et al. (2024)</xref> also found that PVL preparations combined with biomedicine therapy (ATDs or I<sup>131</sup> treatment) were more effective than biomedicine therapy alone at improving thyroid hormone levels, thyroid antibody titers, and thyroid size in patients with GD. The results of this study show that PVL preparations could reduce the side effects of ATDs treatment. Current studies indicate that PVL has a high clinical safety profile for use. Acute toxicity studies showed that during the 14-day observation period, there were no deaths and no apparent signs of toxicity in the animals. Acute toxicity median lethal dose (LD50) of PVL extract administered by gavage to mice &#x3e;21.5&#xa0;g/kg. Subchronic toxicity tests did not reveal any significant toxic effects or target organ damage in PVL extract. Maximum unobserved adverse reaction dose &#x3e;11.73&#xa0;g/kg (equivalent to a PVL botanical drug dose of 92.58&#xa0;g/kg) (<xref ref-type="bibr" rid="B61">Zhao et al., 2017</xref>). The results of acute toxicity experiments by <xref ref-type="bibr" rid="B63">Zhong et al. (2001)</xref> showed that the oral LD50 of PVL granules in mice was 95.794&#xa0;g/kg, which was 119.74 times the clinical dose. Rats were continuously injected intramuscularly with PVL injection (0.2 mL/100&#xa0;g) for 4&#xa0;weeks, and no significant toxicity was observed at the end of administration or within 2&#xa0;weeks of withdrawal (<xref ref-type="bibr" rid="B13">Hou et al., 2015</xref>). According to the record of adverse reactions in the last 5&#xa0;years after the launch of the PVL oral solution, 105 cases of adverse reactions occurred in more than one million patients who used the drug. Specifically, 90 patients experienced gastrointestinal adverse reactions (nausea, abdominal pain, diarrhea, etc.), 32 patients experienced skin itching and rash, and 14 patients experienced neurological adverse reactions (mainly dizziness). The above adverse reactions resolved after discontinuation of the drug (<xref ref-type="bibr" rid="B9">Experts of Clinical Application of Xiakucao Oral Liquid, 2020</xref>). Moreover, the addition of PVL preparations to ATDs therapy was also more effective in lowering TNF-&#x3b1; levels and elevating IL-10 levels in patients with hyperthyroidism than ATDs alone. Animal studies confirmed that PVL promotes the expansion of splenic Tregs and increases IL-10 production (<xref ref-type="bibr" rid="B35">Qiu et al., 2020</xref>). <xref ref-type="bibr" rid="B10">Guo et al. (2021)</xref> observed that PVL reduced the production of inflammatory cytokines TNF-&#x3b1;, IL-6, IL-1&#x3b2;, and others both <italic>in vivo</italic> and <italic>ex vivo</italic>. However, in evaluating the effects of PVL preparations on relapse rate, IL-6, and IFN-&#x3b3;, the results of this study have not been able to demonstrate a significant reduction in relapse rate, IL-6, and IFN-&#x3b3; levels in patients with hyperthyroidism.</p>
<p>Approximately 200 metabolites have been isolated from PVL, mainly triterpenoids, flavonoids, steroids, coumarins, phenylpropanoids, polysaccharides, and volatile oils (<xref ref-type="bibr" rid="B42">Wang et al., 2019</xref>). Network pharmacological studies have shown that PVL contains luteolin, quercetin, &#x3b2;-sitosterol, kaempferol, stigmasterol, mulberry pigment, and other metabolites. The key targets of PVL for the treatment of GD are AKT1, IL-6, TNF, VEGFA, TP53, IL-10, CXCL8, CCL2, MMP-9, and IL-1&#x3b2;. The TNF, HIF-1, PI3K/AKT, and TLR signaling pathways are potential pathways for the PVL treatment of GD (<xref ref-type="bibr" rid="B25">Li and Wei, 2021</xref>). Polysaccharides, which are metabolites isolated from PVL, can be used as potential antioxidants and immunomodulators (<xref ref-type="bibr" rid="B23">Li et al., 2015</xref>). PLV polysaccharides improve symptoms and thyroid function in mice with GD. Mechanistically, PLV polysaccharides regulate the Ras/Raf/MAPK/ERK signaling pathway by inhibiting the phosphorylation of Raf, MEK1/2, and ERK1/2, which inhibits the downstream expression of IFN-&#x3b3;, IL-6, IL-17, and TGF-&#x3b2;1 (<xref ref-type="bibr" rid="B49">Xiang et al., 2020</xref>). Luteolin is an important chemical component of the PVL used for GD treatment. <xref ref-type="bibr" rid="B59">Zhang et al. (2024)</xref> found that PVL and luteolin can treat GD by restoring the balance between Tfh/Tfr cells and alleviating oxidative stress. This effect was associated with the activation of the Nrf2/HO-1 pathway and inhibition of the PI3K/AKT pathway. The PI3K/AKT signaling pathway is also been shown to be involved in the pathogenesis of GO. In thyroid-eye disease, TSHR signaling directly stimulates the proliferation of orbital fibroblasts through the PI3K/AKT pathway (<xref ref-type="bibr" rid="B45">Woeller et al., 2019</xref>). Selective PI3K&#x3b4; inhibitors suppress proinflammatory cytokine production and adipogenesis in GO orbital fibroblasts <italic>in vitro</italic> (<xref ref-type="bibr" rid="B19">Ko et al., 2018</xref>). Notably, <xref ref-type="bibr" rid="B58">Zhang et al. (2020)</xref> reported that PVL treatment of thyroid-associated ophthalmopathy (TAO) may be achieved by inhibiting inflammation and proliferation, as well as by promoting apoptosis through the PI3K/AKT pathway. Another <italic>in vitro</italic> study confirmed that PVL polysaccharides exerted anti-TAO effects by inhibiting orbital fibroblast proliferation and promoting apoptosis (<xref ref-type="bibr" rid="B22">Li et al., 2020a</xref>).</p>
</sec>
<sec id="s7-2">
<title>Strength and limitation</title>
<p>To our knowledge, this is the first systematic review and meta-analysis of PVL preparations for the treatment of hyperthyroidism. Two published meta-analysis of PVL for hyperthyroidism or GD (<xref ref-type="bibr" rid="B47">Wu et al., 2024</xref>; <xref ref-type="bibr" rid="B65">Zhu et al., 2021</xref>). The publication languages used were Chinese. Regarding the study population, this study included patients with causes of hyperthyroidism other than GD, in contrast to the study by <xref ref-type="bibr" rid="B47">Wu et al. (2024)</xref>. Unlike the study by <xref ref-type="bibr" rid="B65">Zhu et al. (2021)</xref>, the present study included other PVL preparations, such as PVL capsules and granules, in addition to the PVL oral liquid. In terms of control measures, unlike the studies by <xref ref-type="bibr" rid="B47">Wu et al. (2024)</xref> and <xref ref-type="bibr" rid="B65">Zhu et al. (2021)</xref>, the intervention in the control group in this study was limited to ATDs treatment and did not include I<sup>131</sup> treatment or ATDs combined with Se yeast treatment. In terms of outcome, TNF-&#x3b1;, IL-6, IL-10, IFN-&#x3b3;, and relapse rate were added in this study to comprehensively evaluate the efficacy of the PVL preparations in intervening in hyperthyroidism. Regarding the number of included studies, this review included more RCTs (<xref ref-type="bibr" rid="B47">Wu et al. (2024)</xref> included 8 RCTs; <xref ref-type="bibr" rid="B65">Zhu et al. (2021)</xref> included 8 RCTs). For statistical analysis, the study was powered by subgroup analysis, meta-regression, Egger&#x2019;s test, and GRADE quality of evidence.</p>
<p>However, there are some limitations. (1) The number of included studies for some of the outcomes (e.g., TRAb, TNF-&#x3b1;, IL-6, IL-10, IFN-&#x3b3;, etc.) was small. These outcomes lack persuasiveness due to small sample sizes and/or variability in study methodologies. (2) The included studies were all single-center clinical trials conducted in mainland China, and extrapolation of the results was limited. (3) The language of publication of the included studies was limited to English and Chinese, which may have resulted in incomplete searches. (4) The methodological quality of the included studies is poor. Some studies did not describe the randomization grouping method in detail. None of the studies mentioned allocation concealment, blinding or clinical trial registration. (5) The short treatment duration in some studies made it difficult to assess the long-term efficacy of PVL preparations. (6) Current studies are not sufficiently comprehensive to consider the safety of commercial Chinese polyherbal preparation. 41% of the trials did not report any adverse events. (7) Some studies did not report the disease duration or sex ratios. Therefore, we could not perform a subgroup analysis based on disease duration and sex to further explore the sources of heterogeneity in certain outcomes with high heterogeneity.</p>
</sec>
<sec id="s7-3">
<title>Implication for future studies</title>
<p>The results of this study provide evidence for the clinical use of PVL preparations for the treatment of hyperthyroidism. Given the problems with the current study, it is recommended that future researchers: (1) Improve the clinical trial design. Examples include the method of generating randomized sequences, allocation concealment, blinding, withdrawal, and loss to follow-up. (2) Strict adherence to the Consolidated Standards of Reporting Trials (CONSORT) statement for standardized and normalized clinical trial reporting. (3) TRAb are characteristic antibodies against GD. This is important for diagnosis, assessment of disease activity, and evaluation of the timing of drug discontinuation. Additionally, it is the most important indicator for predicting GD recurrence. The inclusion of TRAb as an outcome measure is recommended in future clinical trials on GD hyperthyroidism. (4) Attention should be paid to the safety of Chinese herbal medicines in clinical trials. The reporting of adverse reactions must be detailed and complete, including evaluation indicators, specific measurement methods, and acquisition of relevant data. Rather than simply reporting the presence or absence of adverse effects. The reliability of the results of systematic reviews has been improved by conducting high-quality clinical trials.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s8">
<title>Conclusion</title>
<p>In conclusion, PVL preparations combined with ATDs for the treatment of hyperthyroidism improve thyroid function, reduce TRAb levels and goiter size, and inhibit inflammatory responses. In terms of safety, PVL preparations not only do not increase the incidence of adverse events but also mitigate the adverse reactions caused by the use of ATDs. However, owing to the small sample size of the included studies, poor methodological quality, and publication bias. Therefore, the above conclusions need to be further validated by larger, multicenter, high-quality RCTs with long-term follow-up.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s9">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s15">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s10">
<title>Author contributions</title>
<p>MW: Conceptualization, Data curation, Investigation, Methodology, Visualization, Writing&#x2013;original draft, Writing&#x2013;review and editing, Software. QZ: Data curation, Formal Analysis, Investigation, Validation, Writing&#x2013;original draft. MY: Data curation, Formal Analysis, Visualization, Writing&#x2013;original draft. YF: Conceptualization, Funding acquisition, Methodology, Supervision, Writing&#x2013;review and editing. ML: Conceptualization, Project administration, Supervision, Writing&#x2013;review and editing</p>
</sec>
<sec sec-type="funding-information" id="s11">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Outstanding Talents Project of Qilu sanitation and health (No. LHRL 2020-3), the Clinical Talents Project of Shandong Province Traditional Chinese Medicine (No. LHL 2022-233),Postdoctoral Fellowship Program of China Postdoctoral Science Foundation (No. GZC20230324), China Postdoctoral Science Foundation (No. 2024M750263), and The Youth Talents Project of Linyi People&#x2019;s Hospital (No. LYPH 2022-14).</p>
</sec>
<ack>
<p>We would like to express our appreciation to all authors of the primary studies included in the current systematic review.</p>
</ack>
<sec sec-type="COI-statement" id="s12">
<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="s13">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s14">
<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 id="s15">
<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.2025.1530152/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1530152/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>
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