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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1273265</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A strategic study of acupuncture for diabetic kidney disease based on meta-analysis and data mining</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yu</surname>
<given-names>Yunfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1823978"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Hu</surname>
<given-names>Gang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yang</surname>
<given-names>Xinyu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2123672"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Yuman</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tong</surname>
<given-names>Keke</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Rong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Endocrinology, The First Hospital of Hunan University of Chinese Medicine</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Chinese Medicine, Hunan University of Chinese Medicine</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Gastroenterology, The Hospital of Hunan University of Traditional Chinese Medicine</institution>, <addr-line>Changde, Hunan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jeff M. P. Holly, University of Bristol, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sen Li, Beijing University of Chinese Medicine, China</p>
<p>Karem Salem, Fayoum University, Egypt</p>
<p>Yubin Lu, American Academy of Acupuncture and Oriental Medicine, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rong Yu, <email xlink:href="mailto:yurong196905@163.com">yurong196905@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1273265</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>08</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Yu, Hu, Yang, Yin, Tong and Yu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Yu, Hu, Yang, Yin, Tong and Yu</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>The specific benefit and selection of acupoints in acupuncture for diabetic kidney disease (DKD) remains controversial. This study aims to explore the specific benefits and acupoints selection of acupuncture for DKD through meta-analysis and data mining.</p>
</sec>
<sec>
<title>Methods</title>
<p>Clinical trials of acupuncture for DKD were searched in eight common databases. Meta-analysis was used to evaluate its efficacy and safety, and data mining was used to explore its acupoints selection.</p>
</sec>
<sec>
<title>Results</title>
<p>Meta-analysis displayed that compared with the conventional drug group, the combined acupuncture group significantly increased the clinical effective rate (risk ratio [RR] 1.35, 95% confidence interval [CI] 1.20 to 1.51, P &lt; 0.00001) and high-density lipoprotein cholesterol (mean difference [MD] 0.36, 95% CI 0.27 to 0.46, P &lt; 0.00001), significantly reduced the urinary albumin (MD &#x2013;0.39, 95% CI &#x2013;0.42 to &#x2013;0.36, P &lt; 0.00001), urinary microalbumin (MD &#x2013;32.63, 95% CI &#x2013;42.47 to &#x2013;22.79, P &lt; 0.00001), urine &#x3b2;2-microglobulin (MD &#x2013;0.45, 95% CI &#x2013;0.66 to &#x2013;0.24, P &lt; 0.0001), serum creatinine (MD &#x2013;15.36, 95% CI &#x2013;21.69 to &#x2013;9.03, P &lt; 0.00001), glycated hemoglobin A1c (MD &#x2013;0.69, 95% CI &#x2013;1.18 to &#x2013;0.19, P = 0.006), fasting blood glucose (MD &#x2013;0.86, 95% CI &#x2013;0.90 to &#x2013;0.82, P &lt; 0.00001), 2h postprandial plasma glucose (MD &#x2013;0.87, 95% CI &#x2013;0.92 to &#x2013;0.82, P &lt; 0.00001), total cholesterol (MD &#x2013;1.23, 95% CI &#x2013;2.05 to &#x2013;0.40, P = 0.003), triglyceride (MD &#x2013;0.69, 95% CI &#x2013;1.23 to &#x2013;0.15, P = 0.01), while adverse events were comparable. Data mining revealed that CV12, SP8, SP10, ST36, SP6, BL20, BL23, and SP9 were the core acupoints for DKD treated by acupuncture.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Acupuncture improved clinical symptoms, renal function indices such as uALB, umALB, u&#x3b2;2-MG, and SCR, as well as blood glucose and blood lipid in patients with DKD, and has a favorable safety profile. CV12, SP8, SP10, ST36, SP6, BL20, BL23, and SP9 are the core acupoints for acupuncture in DKD, and this program is expected to become a supplementary treatment for DKD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>diabetic kidney disease</kwd>
<kwd>meta-analysis</kwd>
<kwd>data mining</kwd>
<kwd>acupuncture</kwd>
<kwd>acupoint</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="15"/>
<word-count count="6168"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Renal Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Diabetic kidney disease (DKD) is a metabolic disease characterized by systemic metabolic disturbance (<xref ref-type="bibr" rid="B1">1</xref>) and is the most common and severe complication of diabetes (<xref ref-type="bibr" rid="B2">2</xref>). DKD manifests as hyperfiltration and proteinuria in the early stage and end-stage renal disease in the late stage (<xref ref-type="bibr" rid="B3">3</xref>). Epidemiological studies have shown that the number of patients with DKD is increasing year by year, and it is estimated that there will be 592 million patients with DKD by 2035, accounting for about 8%&#x2013;10% of the global population (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Renal failure in patients with advanced DKD often requires renal replacement therapy or renal transplantation, which seriously jeopardizes the physical and mental health of patients and imposes a substantial economic burden on families and society (<xref ref-type="bibr" rid="B6">6</xref>). Currently, the main therapeutic options for DKD include hypoglycemia, antihypertensive, regulation of lipid metabolism disorders, reduction of urinary protein, and renal replacement therapy for end-stage renal disease (<xref ref-type="bibr" rid="B7">7</xref>). Although these treatment regimens reduce complications, delay the progression of DKD, and improve long-term survival, it remains unsatisfactory (<xref ref-type="bibr" rid="B8">8</xref>). Therefore, it is essential to explore a safe and effective treatment that can improve the prognosis of DKD.</p>
<p>Acupuncture is a traditional Chinese medicine practice that works by stimulating specific sites (acupoints) on the surface of the body (<xref ref-type="bibr" rid="B9">9</xref>) and is a widely accepted complementary and alternative therapy (<xref ref-type="bibr" rid="B10">10</xref>). Previous studies have indicated that acupuncture can attenuate insulin resistance in patients with type 2 diabetes, implying that it may have the potential to improve the prognosis of type 2 diabetes and its complications (<xref ref-type="bibr" rid="B11">11</xref>). In recent years, more and more studies have demonstrated the unique advantages of acupuncture combined with conventional medications in treating DKD (<xref ref-type="bibr" rid="B12">12</xref>). Acupuncture has been reported to reduce proteinuria, glycemia, and lipids and improve patients&#x2019; quality of life with DKD (<xref ref-type="bibr" rid="B13">13</xref>). However, the specific benefits and acupoints selection of acupuncture for DKD is still controversial. Therefore, this study used meta-analysis to assess the efficacy and safety of acupuncture in DKD to explore its specific benefits and risks and used data mining to explore the core acupuncture points for acupuncture in DKD.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Meta-analysis methods</title>
<p>This study strictly followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Literature search</title>
<p>China National Knowledge Infrastructure Database (CNKI), China Biomedical Literature, China Science and Technology Journal Database, Wanfang Database, Embase, PubMed, the Cochrane Library, and Web of Science were searched for clinical studies on acupuncture for DKD up to June 2023, with subject terms covering acupuncture and DKD. Based on the subject words, the free words were expanded with the help of CNKI and Mesh databases, and then the subject words and free words were combined for retrieval. The English search formula was: ([&#x201c;acupuncture&#x201d; OR &#x201c;acupressure&#x201d; OR &#x201c;needling&#x201d; OR &#x201c;needle therapy&#x201d; OR &#x201c;meridian therapy&#x201d;] AND [&#x201c;diabetic kidney disease&#x201d; OR &#x201c;diabetic kidney diseases&#x201d; OR &#x201c;diabetic nephropathies&#x201d; OR &#x201c;diabetic nephropathy&#x201d; OR &#x201c;diabetic glomerulosclerosis&#x201d; OR &#x201c;diabetic renal disease&#x201d; OR &#x201c;diabetic kidney injury&#x201d; OR &#x201c;diabetic renal injury&#x201d;]). The Chinese search formula is: ([&#x201c;&#x9488;&#x523a;&#x201d; OR &#x201c;&#x9488;&#x7078;&#x201d; OR &#x201c;&#x9488;&#x6cd5;&#x201d;] AND [&#x201c;&#x7cd6;&#x5c3f;&#x75c5;&#x80be;&#x75c5;&#x201d; OR &#x201c;&#x7cd6;&#x5c3f;&#x75c5;&#x6027;&#x80be;&#x75c5;&#x201d; OR &#x201c;&#x7cd6;&#x5c3f;&#x75c5;&#x80be;&#x5c0f;&#x7403;&#x786c;&#x5316;&#x75c7;&#x201d; OR &#x201c;&#x7cd6;&#x5c3f;&#x75c5;&#x6027;&#x80be;&#x5c0f;&#x7403;&#x786c;&#x5316;&#x75c7;&#x201d;]).</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Inclusion criteria: (1) Randomized controlled trials; (2) The subjects included were patients with DKD (<xref ref-type="bibr" rid="B15">15</xref>); (3) Patients in the control group received conventional treatment, and patients in the experimental group received acupuncture and conventional treatment; (4) Efficacy endpoints included clinical effective rate, renal function (urinary albumin [uALB], urinary microalbumin [umALB], urine &#x3b2;2 microglobulin [u&#x3b2;2-MG], serum creatinine [SCR]), blood glucose (glycated hemoglobin A1c [HbA1c], fasting blood glucose [FBG], 2h postprandial plasma glucose [2h PPG]), blood lipid (total cholesterol [TC], triglyceride [TG], high-density lipoprotein cholesterol [HDL-C]). The clinical effective rate was defined as the percentage of symptoms and signs relieved out of the total number. Safety endpoints were adverse events.</p>
<p>Exclusion criteria: (1) The literature had been published repeatedly; (2) The data was incomplete; (3) The data was not available.</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>Literature screening, data statistics and risk of bias</title>
<p>First, the basic literature was imported into Reference Aid for Medicine, and the included literature was obtained by screening layer by layer according to the inclusion and exclusion criteria. Second, the included literature was sorted out, and the baseline data of each study was entered into the basic characteristics table. Furthermore, the risk of bias was assessed using the Cochrane risk of bias assessment tool. These works were completed independently by Yunfeng Yu and Xinyu Yang, and any objection was decided by Keke Tong.</p>
</sec>
<sec id="s2_1_4">
<label>2.1.4</label>
<title>Statistical analysis</title>
<p>Meta-analysis was performed using Revman 5.3, with risk ratio (RR) as effect sizes for dichotomous variables and mean difference (MD) for continuous variables. Heterogeneity analysis was conducted by I<sup>2</sup> test. Fixed-effects models were used when I<sup>2</sup> &lt; 50%, and the methodological quality and clinical design of the included studies were similar. A random-effects model was used when I<sup>2</sup> &#x2265; 50% or there was significant methodologic heterogeneity or clinical heterogeneity. Leave-one-out sensitivity analysis was used to assess the robustness of the combined results and to check for the presence of individual studies that significantly affected the results. Subgroup sensitivity analysis was used to assess the effects of gender, age, and number of acupuncture points on the combined results. Stata15.0 was used to perform Harbord regression to evaluate publication bias, and if P &gt; 0.1, it indicated no publication bias.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data mining methods</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Literature search</title>
<p>The literature search strategy was the same as the meta-analysis part.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Inclusion criteria:</p>
<p>(1) Randomized controlled trials or case-control studies; (2) The included subjects were patients with DKD; (3) The experimental group was treated with acupuncture, and the acupoint records were complete; (4) The efficacy of acupuncture was definite.</p>
<p>Exclusion criteria:</p>
<p>(1) Duplicate publication; (2) Data were not available; (3) External treatments other than acupuncture were used.</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Standardization of acupoint names</title>
<p>The names of acupoints included in the studies were standardized based on the &#x201c;Nomenclature and location of meridian points&#x201d; (<xref ref-type="bibr" rid="B16">16</xref>). For example, &#x201c;Yishu&#x201d; was standardized as &#x201c;EX-B3&#x201d;, and &#x201c;Zhongjixue&#x201d; was standardized as &#x201c;CV3&#x201d;.</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Data analysis</title>
<p>First, the Traditional Chinese Medicine Case Cloud V2.3 was utilized to conduct frequency analysis, with a frequency threshold set at &gt;20% to identify common acupoints for treating DKD through acupuncture. Second, the identified common acupoints were inputted into SPSS Modeler 18.0 for association rule analysis. The analysis employed the Apriori model with parameters set at support &#x2265; 30%, confidence &#x2265; 100%, and lift &#x2265; 1.0. Support measured the frequency of an itemset appearing in the dataset. Confidence represented the likelihood of another subsequent itemset occurring given a set of prerequisite items. Lift was used to determine whether a rule has practical application value. Based on this parameter, the association rule analysis could obtain core acupoint combinations with practical significance consisting of acupoints with a high frequency of occurrence and close connection with each other. The acupoints that make up the core acupoint combinations were defined as core acupoints. Third, the core acupoints were imported into SPSS Statistics 25.0 for factor analysis. The factor analysis, employing principal component analysis and the rotation maximum variance method, aimed to clarify the grouping of these core acupuncture points. Factor analysis was a commonly utilized technique for reducing data dimensions, aiding in the discovery of the latent structures behind observed variables. Furthermore, factor analysis based on principal component analysis could transform multiple correlated observed variables into a few independent principal components, thereby simplifying the data structure and uncovering the inherent connections between variables. It contributed to understanding how core acupoints are grouped and subsequently analyzing the efficacy of different acupoint groups in treating DKD.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Meta-analysis results</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Literature screening</title>
<p>A total of 789 relevant studies were obtained, and 325 were excluded due to duplication or other reasons. After reading the title and abstract, 443 studies were eliminated. After reading the complete text, 12 studies were removed. Nine clinical studies were finally included, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Literature screening process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g001.tif"/>
</fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Basic characteristics of included studies</title>
<p>A total of nine clinical studies (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>) (all study centers were in China) were included with a total sample size of 659 cases, of which 270 cases received conventional treatment and 389 cases received acupuncture combined with conventional treatment. Baseline information such as gender, age, and disease duration were comparable between the experimental and control groups in each included study. The basic characteristics of the included studies are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Basic characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Author Name</th>
<th valign="middle" align="center">Research Center</th>
<th valign="middle" align="center">Sample<break/>Size (E/C)</th>
<th valign="middle" align="center">Age (Years)</th>
<th valign="middle" align="center">Male (%)</th>
<th valign="middle" align="center">Disease Duration (years)</th>
<th valign="middle" align="center">Mogensen Stages</th>
<th valign="middle" align="center">Conventional Treatment</th>
<th valign="middle" align="center">Acupuncture Treatment</th>
<th valign="middle" align="center">Acupoints</th>
<th valign="middle" align="center">Treatment Duration (weeks)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Chen GC 2006 (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">30/30</td>
<td valign="middle" align="center">55.5</td>
<td valign="middle" align="center">56.7</td>
<td valign="middle" align="center">10.5</td>
<td valign="middle" align="center">III 61.7% IV 38.3%</td>
<td valign="middle" align="center">Insulin 14&#x2013;60u/d &#x3b1;-glucosidase inhibitors 50mg tid Fosinopril 10mg bid Atorvastatin 10mg qd Dipyridamole 50mg tid</td>
<td valign="middle" align="center">Moderate amount of time, once a day</td>
<td valign="middle" align="center">BL23, KI3, SP6</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="center">Chu Q 2003 (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">24/30</td>
<td valign="middle" align="center">62.6</td>
<td valign="middle" align="center">44.4</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">III 53.7% IV 46.3%</td>
<td valign="middle" align="center">Gliquidone 30&#x2013;120mg Qd Captopril 12.5&#x2013;50mg Qd</td>
<td valign="middle" align="center">20 minutes each time, once a day</td>
<td valign="middle" align="center">BL23, BL20, BL18,EX-B3, CV4, KI3, ST36, SP9, SP6</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="center">Fan C<break/>2011 (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">25/28</td>
<td valign="middle" align="center">62.0</td>
<td valign="middle" align="center">45.3</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">III 47.2% IV 52.8%</td>
<td valign="middle" align="center">Acarbose 50&#x2013;100mg Tid</td>
<td valign="middle" align="center">35 minutes each time, once every two days</td>
<td valign="middle" align="center">BL23, BL27, BL22, BL29, BL49, BL21, KI2, LR2, KI3, ST36, TE4, TE1, LI11, CV24, CV4</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">Ji XQ<break/>2004 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">60/60</td>
<td valign="middle" align="center">53.0</td>
<td valign="middle" align="center">54.2</td>
<td valign="middle" align="center">7.3</td>
<td valign="middle" align="center">III 60.8% IV 39.2%</td>
<td valign="middle" align="center">Acarbose 50mg Tid Gliquidone 30&#x2013;60mg Tid</td>
<td valign="middle" align="center">30 minutes each time, twice a day</td>
<td valign="middle" align="center">CV12, LI11, LI4, ST36, SP9, SP6, ST40, SP10, SP8, LR3, BL30, BL23, BL43</td>
<td valign="middle" align="center">5</td>
</tr>
<tr>
<td valign="middle" align="center">Tang M<break/>2022 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">34/34</td>
<td valign="middle" align="center">49.0</td>
<td valign="middle" align="center">66.2</td>
<td valign="middle" align="center">2.6</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Insulin Valsartan 80&#x2013;160mg Qd</td>
<td valign="middle" align="center">Moderate amount of time, once a day</td>
<td valign="middle" align="center">BL23, BL20, GV4, ST36, SP6, SGX, CV6, CV4</td>
<td valign="middle" align="center">12</td>
</tr>
<tr>
<td valign="middle" align="center">Wang KX<break/>2022 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">39/39</td>
<td valign="middle" align="center">57.1</td>
<td valign="middle" align="center">52.6</td>
<td valign="middle" align="center">6.9</td>
<td valign="middle" align="center">III 100%</td>
<td valign="middle" align="center">Gliquidone 15&#x2013;60mg Tid Candesartan 4&#x2013;8mg Qd Simvastatin 5&#x2013;10mg Qd</td>
<td valign="middle" align="center">30 minutes each time, once a day</td>
<td valign="middle" align="center">CV4, ST36, CV12, ST40, SP10, LR3</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="center">Wu YT<break/>2008 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">20/22</td>
<td valign="middle" align="center">51.6</td>
<td valign="middle" align="center">45.2</td>
<td valign="middle" align="center">1.8</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Oral hypoglycemic drugs Benapride 10mg Qd</td>
<td valign="middle" align="center">20 minutes each time, once a day</td>
<td valign="middle" align="center">EX-B3, BL13, BL20, BL23, CV4, KI3, ST36, SP9, SP6</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="center">Yang XY<break/>2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">27/27</td>
<td valign="middle" align="center">55.0</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Insulin Oral hypoglycemic drugs</td>
<td valign="middle" align="center">30 minutes each time, once every two days</td>
<td valign="middle" align="center">SP8, KI5, GV26, ST23, ST36, ST21, ST28, TE6, KI3, KI7, KI9, BL18, BL23, BL28, BL20, CV4, LI6, SP9, LR8, GB20</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="center">Zhu YP<break/>2023 (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">65/65</td>
<td valign="middle" align="center">64.6</td>
<td valign="middle" align="center">54.6</td>
<td valign="middle" align="center">1.6</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Insulin Oral hypoglycemic drugs Mecobalamin 0.5mg Tid</td>
<td valign="middle" align="center">20 minutes each time, once every two days</td>
<td valign="middle" align="center">ST44, ST43, SP2, SP3, LI2, LI3, SI2, SI3, PC8, PC7, ST36, ST37, ST39, ST40, SP8, SP6, SP9, LI4, ST25, CV12</td>
<td valign="middle" align="center">4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Baseline information such as gender, age, and disease duration were comparable between the experimental and control groups in each included study. SGX, acupoint named Shenguanxue."/" indicates that the study did not provide relevant data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Risk of bias assessment</title>
<p>The risk of bias was unclear for the randomization method in two studies, the risk of bias for allocation concealment and blinding of interventions to patients and participants was unclear in nine studies, and the risk of bias was low in the remaining areas, as shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias graph.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g002.tif"/>
</fig>
</sec>
<sec id="s3_1_4">
<label>3.1.4</label>
<title>Clinical effective rate</title>
<p>Compared with the conventional treatment group, the combined acupuncture group significantly increased the clinical effective rate by 35% (RR 1.35, 95% confidence interval [CI] 1.20 to 1.51, P &lt; 0.00001), as shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Meta analysis of clinical effective rate in acupuncture combined group vs conventional drug group in the treatment of DKD. DKD, diabetic kidney disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g003.tif"/>
</fig>
</sec>
<sec id="s3_1_5">
<label>3.1.5</label>
<title>Renal function</title>
<p>Compared with the conventional treatment group, the combined acupuncture group significantly decreased uALB by 0.39g (MD &#x2013;0.39, 95% CI &#x2013;0.42 to &#x2013;0.36, P &lt; 0.00001), umALB by 32.63mg (MD &#x2013;32.63, 95% CI &#x2013;42.47 to &#x2013;22.79, P &lt; 0.00001), u&#x3b2;2-MG by 0.45&#x3bc;g/ml (MD &#x2013;0.45, 95% CI &#x2013;0.66 to &#x2013;0.24, P &lt; 0.0001), and SCR by 15.36&#x3bc;mol/L, as shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Meta analysis of renal function in acupuncture combined group vs conventional drug group in the treatment of DKD. <bold>(A)</bold> uALB, <bold>(B)</bold> umALB, <bold>(C)</bold> u&#x3b2;2-MG; <bold>(D)</bold> SCR. DKD, diabetic kidney disease; uALB, urinary albumin; umALB, urinary microalbumin; u&#x3b2;2-MG, urine &#x3b2;2 microglobulin; SCR, serum creatinine.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g004.tif"/>
</fig>
</sec>
<sec id="s3_1_6">
<label>3.1.6</label>
<title>Blood glucose</title>
<p>Compared with the conventional treatment group, the combined acupuncture group significantly reduced HbA1c by 0.69% (MD &#x2013;0.69, 95% CI &#x2013;1.18 to &#x2013;0.19, P = 0.006), FBG by 0.86mmol/L (MD &#x2013;0.86, 95% CI &#x2013;0.90 to &#x2013;0.82, P &lt; 0.00001) and 2h PPG by 0.87mmol/L (MD &#x2013;0.87, 95% CI &#x2013;0.92 to &#x2013;0.82, P &lt; 0.00001), as shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Meta analysis of blood glucose in acupuncture combined group vs conventional drug group in the treatment of DKD. <bold>(A)</bold> HbA1c, <bold>(B)</bold> FBG, <bold>(C)</bold> 2h PPG. DKD, diabetic kidney disease; HbA1c, glycated hemoglobin A1c; FBG, fasting blood glucose; 2h PPG, 2h postprandial plasma glucose.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g005.tif"/>
</fig>
</sec>
<sec id="s3_1_7">
<label>3.1.7</label>
<title>Blood lipid</title>
<p>Compared with the conventional treatment group, the combined acupuncture group significantly reduced TC by 1.23mmol/L (MD &#x2013;1.23, 95% CI &#x2013;2.05 to &#x2013;0.40, P = 0.003) and TG by 0.69mmol/L (MD &#x2013;0.69, 95% CI &#x2013;1.23 to &#x2013;0.15, P = 0.01), and increased HDL-C by 0.36mmol/L (MD 0.36, 95% CI 0.27 to 0.46, P &lt; 0.00001), as shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Meta analysis of blood lipid in acupuncture combined group vs conventional drug group in the treatment of DKD. <bold>(A)</bold> TC, <bold>(B)</bold> TG, <bold>(C)</bold> HDL-C. DKD, diabetic kidney disease; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g006.tif"/>
</fig>
</sec>
<sec id="s3_1_8">
<label>3.1.8</label>
<title>Safety endpoint</title>
<p>Adverse events occurred in two patients in the combined acupuncture group, both of which were local hematomas caused by insufficient pressing time after needle withdrawal. There were six adverse events in the conventional treatment group, including three cases of vomiting and three cases of dyspepsia. There was no significant difference in adverse events between the combined acupuncture group and the conventional treatment group (RR 0.60, 95% CI 0.01 to 36.95, P = 0.81), as shown in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Meta analysis of adverse events in acupuncture combined group vs conventional drug group in the treatment of DKD. DKD, diabetic kidney disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g007.tif"/>
</fig>
</sec>
<sec id="s3_1_9">
<label>3.1.9</label>
<title>Leave-one-out sensitivity analysis</title>
<p>The leave-one-out sensitivity analysis showed that the results of clinical effective rate, uALB, umALB, SCR, HbA1c, FBG, TC, and TG had low sensitivity and high confidence. Due to u&#x3b2;2-MG, 2h PPG, HDL-C, and adverse events were only assessed in two of the included studies, their leave-one-out sensitivity analysis cannot be performed.</p>
</sec>
<sec id="s3_1_10">
<label>3.1.10</label>
<title>Subgroup sensitivity analysis</title>
<p>The subgroup sensitivity analysis, with creatinine as the outcome, explored the effects of factors such as gender, age, and number of acupoints on the combined outcome. In terms of gender, acupuncture significantly reduced creatinine in the group of DKD with a male ratio of 41&#x2013;50% (MD &#x2013;14.27, 95% CI &#x2013;23.23 to &#x2013;5.30, P = 0.002), 51&#x2013;60% (MD &#x2013;14.18, 95% CI &#x2013;22.47 to &#x2013;5.89, P = 0.0008) and 61&#x2013;70% (MD &#x2013;22.20, 95% CI &#x2013;29.52 to &#x2013;14.88, P &lt; 0.00001). In terms of age, acupuncture significantly reduced creatinine in the group of DKD with an average age of 41&#x2013;50 years (MD &#x2013;22.20, 95% CI &#x2013;29.52 to &#x2013;14.88, P &lt; 0.00001), 51&#x2013;60 years (MD &#x2013;15.98, 95% CI &#x2013;31.85 to &#x2013;0.11, P = 0.048) and 61&#x2013;70 years (MD &#x2013;9.82, 95% CI &#x2013;10.51 to &#x2013;9.12, P &lt; 0.00001). In terms of the number of acupoints, acupuncture significantly reduced creatinine in the group of DKD with 1&#x2013;10 acupoints (MD &#x2013;15.65, 95% CI &#x2013;28.59 to &#x2013;2.72, P = 0.02) and 10&#x2013;20 acupoints (MD &#x2013;15.28, 95% CI &#x2013;23.31 to &#x2013;7.26, P = 0.0002), as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup sensitivity analysis of acupuncture treatment for diabetic kidney disease.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Subject</th>
<th valign="middle" align="center">Subgroup</th>
<th valign="middle" align="center">I<sup>2</sup>
</th>
<th valign="middle" align="center">MD (95% CI)</th>
<th valign="middle" align="center">
<italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="center">Male ratio</td>
<td valign="middle" align="center">41&#x2013;50 %</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;14.27 (&#x2013;23.23, &#x2013;5.30)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="center">51&#x2013;60 %</td>
<td valign="middle" align="center">93</td>
<td valign="middle" align="center">&#x2013;14.18 (&#x2013;22.47, &#x2013;5.89)</td>
<td valign="middle" align="center">0.0008</td>
</tr>
<tr>
<td valign="middle" align="center">61&#x2013;70 %</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;22.20 (&#x2013;29.52, &#x2013;14.88)</td>
<td valign="middle" align="center">&lt;0.00001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Average age</td>
<td valign="middle" align="center">41&#x2013;50 years</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;22.20 (&#x2013;29.52, &#x2013;14.88)</td>
<td valign="middle" align="center">&lt;0.00001</td>
</tr>
<tr>
<td valign="middle" align="center">51&#x2013;60 years</td>
<td valign="middle" align="center">95</td>
<td valign="middle" align="center">&#x2013;15.98 (&#x2013;31.85, &#x2013;0.11)</td>
<td valign="middle" align="center">0.048</td>
</tr>
<tr>
<td valign="middle" align="center">61&#x2013;70 years</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;9.82 (&#x2013;10.51, &#x2013;9.12)</td>
<td valign="middle" align="center">&lt;0.00001</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Number of acupoints</td>
<td valign="middle" align="center">1&#x2013;10 acupoints</td>
<td valign="middle" align="center">83</td>
<td valign="middle" align="center">&#x2013;15.65 (&#x2013;28.59, &#x2013;2.72)</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<td valign="middle" align="center">11&#x2013;20 acupoints</td>
<td valign="middle" align="center">91</td>
<td valign="middle" align="center">&#x2013;15.28 (&#x2013;23.31, &#x2013;7.26)</td>
<td valign="middle" align="center">0.0002</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_1_11">
<label>3.1.11</label>
<title>Publication bias</title>
<p>The Harbord regression of the clinical effective rate showed P = 0.953, suggesting no significant publication bias (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Harbord regression analysis for publication bias.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Data mining results</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Literature screening</title>
<p>A total of 789 relevant studies were obtained, and 51 clinical trials were included after stratified screening, containing 77 acupoints with a total frequency of 483.</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Frequency analysis</title>
<p>Frequency analysis was performed to obtain 20 common acupoints with a frequency greater than 20%, including Zusanli (ST36), Shenshu (BL23), Sanyinjiao (SP6), Taixi (KI3), Diji (SP8), Zhongwan (CV12), Yinlingquan(SP9), Pishu (BL20), Xuehai (SP10), Guanyuan (CV4), Tianshu (ST25), Taichong (LR3), Fenglong (ST40), Hegu (LI4), Weiwanxiashu (EX-B3), Baihuanshu (BL30), Quchi (LI11), Ganshu (BL18), Gaohuangshu (BL43), and Zhongji (CV3), as shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Common acupoints with a frequency greater than 20%.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Rank</th>
<th valign="middle" align="center">Acupoint</th>
<th valign="middle" align="center">Frequency (n/%)</th>
<th valign="middle" align="center">Location</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">ST36</td>
<td valign="middle" align="center">41 (80.39%)</td>
<td valign="middle" align="center">On the lateral calf, 3 cun below ST35, on the line between ST35 and ST41.</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">BL23</td>
<td valign="middle" align="center">40 (78.43%)</td>
<td valign="middle" align="center">In the spinal region, 1.5 cun lateral to the lower border of the spinous process of the second lumbar vertebra.</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">SP6</td>
<td valign="middle" align="center">33 (64.71%)</td>
<td valign="middle" align="center">In the medial calf, 3 cun above themedial malleolus, on the posterior border of the medial aspect of tibia.</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">KI3</td>
<td valign="middle" align="center">25 (49.02%)</td>
<td valign="middle" align="center">In the ankle region, posterior to the medial malleolus, in the depression between the tip of the medial malleolus and tendo calcaneus.</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">SP8</td>
<td valign="middle" align="center">22 (43.14%)</td>
<td valign="middle" align="center">In the medial calf, 3 cun below SP9, on the posterior border of the medial aspect of tibia.</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">CV12</td>
<td valign="middle" align="center">22 (43.14%)</td>
<td valign="middle" align="center">In the epigastric region, 4 cun above the umbilicus, on the anterior midline.</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">SP9</td>
<td valign="middle" align="center">19 (37.25%)</td>
<td valign="middle" align="center">In the medial calf, in the depression of the lower border of the medial condyle of the tibia.</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">BL20</td>
<td valign="middle" align="center">19 (37.25%)</td>
<td valign="middle" align="center">In the spinal region, 1.5 cun lateral to the lower border of the spinous process of the eleventh thoracic vertebra.</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">SP10</td>
<td valign="middle" align="center">18 (35.29%)</td>
<td valign="middle" align="center">In the anterior femoral region, 2 cun above the medial end of patellar floor, on the bulge of the vastus medialis.</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">CV4</td>
<td valign="middle" align="center">16 (31.37%)</td>
<td valign="middle" align="center">In the lower abdomen, 3 cun below the umbilicus, on the anterior midline.</td>
</tr>
<tr>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">ST25</td>
<td valign="middle" align="center">14 (27.45%)</td>
<td valign="middle" align="center">On the abdomen, at the level of the umbilicus, 2 cun lateral to umbilicus.</td>
</tr>
<tr>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">LR3</td>
<td valign="middle" align="center">14 (27.45%)</td>
<td valign="middle" align="center">On the dorsum of the foot, between the first and second metatarsals, the anterior depression at the junction of the bases of the metatarsals.</td>
</tr>
<tr>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">ST40</td>
<td valign="middle" align="center">13 (25.49%)</td>
<td valign="middle" align="center">In the lateral calf, 8 cun sperior to the external malleolus, on the outer edge of the tibialis anterior muscle.</td>
</tr>
<tr>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">LI4</td>
<td valign="middle" align="center">12 (23.53%)</td>
<td valign="middle" align="center">On the dorsum of the hand, in the middle of he 2nd metacarpal bone on the radial side.</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">EX-B3</td>
<td valign="middle" align="center">12 (23.53%)</td>
<td valign="middle" align="center">In the spinal region, 1.5 cun lateral to the lower border of the spinous process of the eighth thoracic vertebra.</td>
</tr>
<tr>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">BL30</td>
<td valign="middle" align="center">11 (21.57%)</td>
<td valign="middle" align="center">In the sacral region, at the level of the fourth posterior sacral foramen, 1.5 cun lateral to the middle sacral crest.</td>
</tr>
<tr>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">LI11</td>
<td valign="middle" align="center">11 (21.57%)</td>
<td valign="middle" align="center">At the elbow, the midpoint of position of the line connecting LU5 and the lateral epicondyle of the humerus.</td>
</tr>
<tr>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">BL18</td>
<td valign="middle" align="center">11 (21.57%)</td>
<td valign="middle" align="center">In the spinal region, 1.5 cun lateral to the lower border of the spinous process of the ninth thoracic vertebra.</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">BL43</td>
<td valign="middle" align="center">11 (21.57%)</td>
<td valign="middle" align="center">In the spinal region, 3 cun lateral to the lower border of the spinous process of the fourth thoracic vertebra.</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">CV3</td>
<td valign="middle" align="center">11 (21.57%)</td>
<td valign="middle" align="center">In the lower abdomen, 4 cun below the umbilicus, on the anterior midline.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*ST35 is located in the anterior knee area, in the lateral depression of the patellar ligament. ST41 is located in the ankle area, in the central depression in front of the ankle joint. LU5 is located in the elbow area, on the transverse crease of the elbow, in the depression of the radial edge of the biceps tendon.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Association rules analysis</title>
<p>Association rule analysis was used to explore core acupoint combinations consisting of common acupoints. Under the conditions of setting support &#x2265; 30%, confidence &#x2265; 100%, and lift &#x2265; 1.0, a total of 11 core acupoint combinations were obtained, as shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> They were formed by combining CV12, SP8, SP10, ST36, SP6, BL20, BL23, and SP9 with each other, indicating that these acupoints were the core acupoints for acupuncture in DKD. The network relationship diagram is shown in <xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Association rules analysis of common acupoints.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Acupoint combination</th>
<th valign="middle" align="center">Frequency/n</th>
<th valign="middle" align="center">Support/%</th>
<th valign="middle" align="center">Confidence/%</th>
<th valign="middle" align="center">Lift</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">ST36, SP10</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">35.294</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP9</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">37.255</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, BL20, SP6</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">31.373</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP10, CV12</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">31.373</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP9, SP6</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">35.294</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP9, BL23</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">35.294</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, CV12, BL23</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">33.333</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP8, SP6</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">31.373</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP8, BL23</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">33.333</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, SP9, SP6, BL23</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">33.333</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
<tr>
<td valign="middle" align="center">ST36, CV12, SP8, BL23</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">31.373</td>
<td valign="middle" align="center">100.00</td>
<td valign="middle" align="center">1.244</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Network relationship for common acupoints.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g009.tif"/>
</fig>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Factor analysis</title>
<p>Factor analysis was employed to explore the combinatorial relationship between the core acupoints, as shown in <xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>. A total of two common factors were obtained, and the cumulative variance contribution was 65.30%. Common factor 1 consisted of CV12, SP8, and SP10, which accounted for 35.66% of the total variance. Common factor 2 consisted of ST36, SP6, BL20, BL23, and SP9, accounting for 29.64% of the total variance.</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Factor analysis for core acupoints.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-g010.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Research background and significance</title>
<p>DKD is a major cause of end-stage renal disease (<xref ref-type="bibr" rid="B26">26</xref>). Patients with DKD have a higher mortality rate compared to diabetic patients without renal disease (<xref ref-type="bibr" rid="B27">27</xref>), and their prevalence has shown a gradual increase (<xref ref-type="bibr" rid="B28">28</xref>). Currently, there are no specific drugs for DKD, and strict control of blood glucose and blood pressure remains the primary strategy in treating DKD (<xref ref-type="bibr" rid="B29">29</xref>). Although these therapeutic strategies have delayed the progression of DKD to some extent, some patients still eventually develop end-stage renal disease (<xref ref-type="bibr" rid="B30">30</xref>). Acupuncture has been reported to have unique efficacy and a favorable safety profile in treating diabetes and its complications (<xref ref-type="bibr" rid="B31">31</xref>). In 1983, Li RC et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>) confirmed for the first time through animal experiments that acupuncture promotes insulin secretion and improves glucose tolerance, which has since opened the study of acupuncture for diabetes and its complications. Subsequent researchers have found that acupuncture not only reduces glycemia (<xref ref-type="bibr" rid="B33">33</xref>) but also has a combined effect of regulating lipids and hemodynamics (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In 2001, Zhang YL et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) first reported the efficacy of acupuncture in the treatment of DKD, and they found that acupuncture could reduce 24-hour urine protein quantification and SCR in patients with DKD. Since then, there has been increasing evidence of the role of acupuncture in improving the prognosis of DKD (<xref ref-type="bibr" rid="B37">37</xref>). Nevertheless, the specific benefits and acupoint selection schemes of acupuncture for DKD are still controversial. Therefore, this study aimed to review and collect clinical trials of acupuncture for DKD, elaborate on the specific benefits of acupuncture for DKD through meta-analysis, and then explore the acupoint selection of acupuncture for DKD through data mining.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Evaluation of efficacy</title>
<p>The study results showed that the clinical effective rate of the combined acupuncture group was significantly higher than that of the conventional treatment group, suggesting that acupuncture could effectively reduce the symptoms and signs of DKD patients. In terms of renal function, compared with the conventional treatment group, the combined acupuncture group significantly reduced 15.36&#x3bc;mol/L SCR, 0.39g uALB, 32.63mg umALB and 0.45&#x3bc;g/ml u&#x3b2;2-MG. SCR is an essential indicator that reflect the function of the kidney to remove metabolic waste (<xref ref-type="bibr" rid="B38">38</xref>). u&#x3b2;2-MG is often used to evaluate renal tubular function (<xref ref-type="bibr" rid="B39">39</xref>). ALB reflects glomerular injury and glomerular permeability to macromolecules (<xref ref-type="bibr" rid="B40">40</xref>). mALB is an indicator of renal and systemic endothelial dysfunction (<xref ref-type="bibr" rid="B41">41</xref>). This evidence suggests that acupuncture effectively improves renal function in patients with DKD, thereby bettering the prognosis of DKD.</p>
<p>On the glycemic-related endpoints, the combined acupuncture group significantly reduced 0.69% HbA1c, 0.86 mmol/L FBG, and 0.87 mmol/L 2h PPG compared with the conventional treatment group, implying that acupuncture has a glycemic lowering effect. Actually, hyperglycemia, hypertension, obesity, and dyslipidemia are major risk factors for the development and progression of DKD (<xref ref-type="bibr" rid="B42">42</xref>). It has been reported that chronic persistent hyperglycemia can cause abnormal glucose and lipid metabolism, hemodynamic changes, and oxidative stress in the body, which can lead to renal dysfunction and DKD (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Studies have shown that the incidence of diabetic complications is directly related to blood glucose levels (<xref ref-type="bibr" rid="B45">45</xref>), and the risk of microvascular complications increases by 40% for every 1% increase in HbA1c levels (<xref ref-type="bibr" rid="B46">46</xref>). The rate of renal impairment in patients with DKD is also controlled by blood glucose (<xref ref-type="bibr" rid="B47">47</xref>). Nosadini R et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>) noted that when HbA1c is consistently greater than 7.5% and postprandial glucose is more significant than 200 mg/dl, the risk of a rapid decline in glomerular function is significantly increased. On lipid-related endpoints, compared with the conventional treatment group, the combined acupuncture group significantly reduced 1.23 mmol/L TC and 0.69 mmol/L TG and significantly increased 0.36 mmol/L HDL-C, suggesting that acupuncture has an additional benefit in lipid modulation. In addition, considering that cardiovascular events are one of the main causes of death in DKD patients, regulating blood lipids can help improve the cardiovascular prognosis of DKD patients (<xref ref-type="bibr" rid="B27">27</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Evaluation of safety</title>
<p>On the safety endpoints, adverse events in the combined acupuncture group were not significantly different from those in the conventional treatment group, suggesting that acupuncture has a good safety profile and does not additionally increase the risk of adverse events.</p>
<p>Although meta-analysis showed that acupuncture was a safe treatment for DKD, it is still essential to be aware of potential adverse events such as hematoma, pain, infection, and needle-sickness that may be associated with acupuncture (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). (1) Hematoma: Hematoma is one of the most prevalent untoward incidents following needle insertion. In this study, both adverse events observed in the acupuncture group were hematoma, typically arising from inadequate post-needle removal compression time. Applying gentle pressure with a cotton swab for approximately 30 seconds upon needle extraction effectively prevents hematoma formation. Hematomas formed by minimal bleeding generally resolve independently without requiring specific interventions. In cases where excessive subcutaneous bleeding induces intense pain, initial hemostasis through cold compression is recommended, followed by warm compression 24 hours later to facilitate hematoma absorption. (2) Pain: As an invasive therapeutic modality, acupuncture may induce localized pain at the needling site. Clinical practitioners should rigorously control needle insertion angles, depths, and stimulation levels in adherence to guidelines to alleviate the patient&#x2019;s pain burden. Additionally, severe pain is commonly attributable to hematoma formation; hence, averting hematoma development effectively reduces the incidence of pain. (3) Infection: Infections typically arise from inadequate disinfection during operation. Given the slower wound healing in diabetic patients compared to the general population, infections are more prone to occur in patient with DKD. Strict adherence to standardized disinfection protocols significantly mitigates the risk of infection. (4) Needle-sickness: Needle-sickness refers to symptoms such as dizziness, palpitations, nausea, and sweating during the needling process. The precise mechanism of it remains not entirely elucidated, but it is generally associated with factors such as psychological tension, hunger, improper positioning, and excessive stimulation. Pre-needling education and effective doctor-patient communication contribute to reducing occurrences of needle-sickness. In the event of needle-sickness, immediate cessation of the procedure is necessary, allowing the patient to recover gradually.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Mechanisms of acupuncture for DKD</title>
<p>Currently, studies on the mechanisms of acupuncture in the treatment of DKD have focused on podocytes. Podocytes are terminally differentiated and highly specialized cells whose foot processes can attach to the glomerular basement membrane and connect to each other through the slit diaphragm (SD) (<xref ref-type="bibr" rid="B51">51</xref>). Podocyte injury is one of the earliest pathological changes in DKD (<xref ref-type="bibr" rid="B52">52</xref>), which mainly manifests as loss of foot processes and destruction of SD (<xref ref-type="bibr" rid="B53">53</xref>). Studies have shown that acupuncture can protect podocytes from damage by restoring SD density, up-regulating the expression of SD proteins (nephrin and CD2 associated protein) and the apical membrane protein podocalyxin, and downregulating the cytoskeletal intermediate filament protein desmin (<xref ref-type="bibr" rid="B51">51</xref>). Acupuncture can also up-regulate the expression of podocyte mucin, thereby exerting a protective effect on the top surface of podocytes (<xref ref-type="bibr" rid="B51">51</xref>). Liu L et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>) found that acupuncture can improve the podocyte damage of rats with DKD and alleviate pathological changes such as glomerular basement membrane thickening by up-regulating the expression of podocalyxin, CD2 associated protein, and nephrin and down-regulating the expression of desmin, thereby delaying the progression of DKD.</p>
<p>Oxidative stress and inflammation are also closely related to podocyte damage (<xref ref-type="bibr" rid="B55">55</xref>). Wang M et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>) proposed that acupuncture can regulate the oxidative stress state of patients with DKD by down-regulating the contents of malondialdehyde, protein carbonyl, and 8-hydroxyguanine in plasma and up-regulating the activity of superoxide dismutase in patients with DKD. Wang KX et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>) found that acupuncture can reduce oxidative stress by up-regulating the expression of forkhead box protein O1 and peroxisome proliIerators-activated receptor &#x3b3; coactivator lalpha, thereby protecting the kidneys. Zhang J et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>) reported that acupuncture can reduce renal inflammatory injury by inhibiting Nod-like receptor thermal protein domain associated protein 3/nuclear factor-kappa B pathway. In addition, acupuncture can also alleviate kidney injury in rats with DKD by promoting renal cell autophagy (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Data mining of acupuncture scheme</title>
<p>The frequency analysis yielded 20 common acupoints for acupuncture in DKD. However, limited by the support and confidence level, common acupoints such as KI3, CV4, ST25, LR3, ST40, LI4, EX-B3, BL30, LI11, BL18, BL43, and CV3 were excluded from the association rule analysis. Although it contained commonly used acupoints for the treatment of diabetes and its complications, such as LI4 and LI11, the association rule analysis showed that these acupoints were underutilized or lacked close association with other acupoints in the database constructed by the included studies. The association rule analysis yielded core acupoint combinations were composed of CV12, SP8, SP10, ST36, SP6, BL20, BL23, and SP9, suggesting that these acupoints were the core acupoints for acupuncture in DKD. The needling methods and location plan for core acupoints are shown in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Acupuncture strategy for diabetic kidney disease based on data mining.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Acupoint</th>
<th valign="middle" align="center">Needling Methods</th>
<th valign="middle" align="center">Location Plan</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">ST36</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;2 cun (about 2&#x2013;4 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i001.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">BL23</td>
<td valign="middle" align="center">Perpendicular or 45-degree angle towards the spine insertion 0.5&#x2013;1 cun (about 1&#x2013;2 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i002.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">SP6</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;1.5 cun (about 2&#x2013;3 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i003.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">SP8</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;1.5 cun (about 2&#x2013;3 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i004.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">CV12</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;1.5 cun (about 2&#x2013;3 cm), with caution in pregnant women and after urination.</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i005.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">SP9</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;2 cun (about 2&#x2013;4 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i006.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">BL20</td>
<td valign="middle" align="center">45-degree angle towards the spine insertion 0.5&#x2013;0.8 cun (about 1&#x2013;2 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i007.tif"/>
<break/>
</td>
</tr>
<tr>
<td valign="middle" align="center">SP10</td>
<td valign="middle" align="center">Perpendicular insertion 1&#x2013;1.5 cun (about 2&#x2013;3 cm)</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1273265-i008.tif"/>
<break/>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Traditional Chinese medical theory posits that the pathogenesis of DKD is intricate, encompassing both spleen-kidney deficiency as well as phlegm and blood stasis obstruction (<xref ref-type="bibr" rid="B59">59</xref>). Given the selection of specific acupoints was based on the Chinese medical pathogenesis, the intricate pathogenesis of DKD dictate the requirement for multiple acupoint combinations in its treatment. In this study, factor analysis categorized the core acupoints into two groups. The first group comprised CV12, SP8, and SP10, primarily functioning to tonify the kidneys and dissipate blood stasis. The second group consisted of ST36, SP6, BL20, BL23, and SP9, primarily acting to tonify the spleen and kidney, and dissipate phlegm. These two sets of acupoints complement each other, collectively exerting the therapeutic effects of tonifying the spleen and kidneys as well as dissipating phlegm and blood stasis, aligning with the Chinese medical pathogenesis of DKD. Hence, acupuncturists must comprehend the significance of these core acupoints and their groupings in the treatment of DKD and fully apply them in clinical practice.</p>
</sec>
<sec id="s4_6">
<label>4.6</label>
<title>Limitation and outlook</title>
<p>Although the study followed the PRISMA guidelines, there are still some limitations. First, only 659 samples were included in the meta-analysis part of the study, and only 51 programs were included in the data mining part, which may lead to a decrease in the accuracy of the results. Second, Wang KX et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>) limited the age to 30&#x2013;70 years and only included patients with Mogensen stage III, while Chu Q et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>) subjectively excluded patients with blood glucose &gt;14 mmol/L. The limitations of these inclusion criteria may reduce the generalizability of the meta-analysis results. Third, the research centers of the nine clinical trials were all in China, and the study subjects were mainly of Chinese descent. This means that the results of this study were mainly used to evaluate the effects of acupuncture in Chinese patients with DKD, and it is not yet clear how the therapy works in Europeans, Americans, and Africans. Fourth, the course of treatment included in the study was between four and 12 weeks, so the meta-analysis results mainly reflected the short-term efficacy of acupuncture in treating DKD, and there was a lack of long-term follow-up data.</p>
<p>Given the limitations of existing research, we expect the future studies will continue to improve: (1) The acupuncture strategy obtained in this study can be used in clinical trials to verify its efficacy and safety in treating DKD. (2) By facilitating the development of multicenter stratified studies, further explore the efficacy of acupuncture in treating patients with DKD of varying age, stage, baseline glucose level, and baseline weight. (3) Research centers can be established in European, American, and African countries to further evaluate the specific benefits of acupuncture in different ethnic populations. (4) Researchers can further evaluate the long-term efficacy of acupuncture in treating DKD by extending the follow-up period to half a year to one year.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Acupuncture improved clinical symptoms, renal function indices such as uALB, umALB, u&#x3b2;2-MG, and SCR, as well as blood glucose and blood lipid in patients with DKD, and has a favorable safety profile. CV12, SP8, SP10, ST36, SP6, BL20, BL23, and SP9 are the core acupoints for acupuncture in DKD, and this program is expected to become a supplementary treatment for DKD.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YFY: Conceptualization, Supervision, Writing &#x2013; original draft. GH: Methodology, Supervision, Writing &#x2013; original draft. XY: Formal analysis, Methodology, Writing &#x2013; original draft. YMY: Data curation, Formal analysis, Writing &#x2013; original draft. KT: Data curation, Formal analysis, Writing &#x2013; original draft. RY: Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the key support project of the Regional Innovation and Development Joint Fund of the National Natural Science Foundation of China [U21A20411].</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="disclaimer">
<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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ALB, Albumin; CI, Confidence interval; DKD, Diabetic kidney disease; FBG, Fasting blood glucose Glycated; HbA1c, hemoglobin A1c ; HDL-C, High-density lipoprotein cholesterol; MD, Mean difference ; PRISMA, Preferred Reporting Items for Systematic reviews and Meta-Analyses; SCR, Serum creatinine; SD, Slit diaphragm; TC, Total cholesterol; TG, Triglyceride; uALB, Urinary albumin; umALB, Urinary microalbumin; u&#x3b2;2-MG, Urine &#x3b2;2 microglobulin; 2h PPG, 2h postprandial plasma glucose.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
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