{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T04:20:32Z","timestamp":1791951632535,"version":"4.3.4"},"reference-count":102,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Pharmacol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To systematically evaluate the clinical efficacy of traditional herbal medicine (THM) as an adjunctive therapy for obesity-related polycystic ovary syndrome (PCOS) and to identify core botanical drug combinations using evidence synthesis and data mining approaches.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We searched six databases from inception to March 2025 for randomized controlled trials Meta-analyses were performed using Stata 15.1. Association rule mining was performed with the\n                      <jats:italic>Apriori<\/jats:italic>\n                      algorithm. The Cochrane Risk of Bias Assessment Tool (ROB 2.0) and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework were used to evaluate risk of bias and evidence certainty, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seventy-two RCTs involving 5,308 patients were included. Meta-analysis indicated that THM combined with conventional therapy significantly improved the clinical efficacy rate (OR = 3.73, 95% CI: 3.12 to 4.46, p &amp;lt; 0.001; low certainty) and clinical pregnancy rate (OR = 3.03, 95% CI: 2.05 to 4.48, p &amp;lt; 0.001; moderate certainty). Significant improvements were also observed in Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (SMD = \u22120.81, 95% CI: \u22121.02 to \u22120.60, p &amp;lt; 0.001; very low certainty), body mass index (BMI) (SMD = \u22120.95, 95% CI: \u22121.09 to \u22120.81, p &amp;lt; 0.001; low certainty), total testosterone (TT) (SMD = \u22120.90, 95% CI: \u22121.10 to \u22120.69, p &amp;lt; 0.001; very low certainty), and the luteinizing hormone\/follicle-stimulating hormone (LH\/FSH) ratio (SMD = \u22120.88, 95% CI: \u22121.05 to \u22120.70, p &amp;lt; 0.001; low certainty). Sensitivity analyses confirmed robustness, but substantial heterogeneity (I\n                      <jats:sup>2<\/jats:sup>\n                      up to 89.3%) and publication bias (Egger\u2019s test p &amp;lt; 0.05 for several outcomes) were noted. Association rule mining identified Poria cocos, Citrus reticulata, Atractylodes lancea, and Cyperus rotundus as the most strongly associated core botanical drug combination.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>THM demonstrated superiority over conventional treatment alone in improving key clinical, metabolic, and reproductive outcomes in obesity-related PCOS. Association rule analysis revealed a core botanical drug combination as promising candidates for future research. However, more rigorously designed, large-scale RCTs are required.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Systematic Review Registration<\/jats:title>\n                    <jats:p>\n                      <jats:ext-link>https:\/\/www.crd.york.ac.uk\/PROSPERO\/view\/CRD420251111078<\/jats:ext-link>\n                      , identifier CRD420251111078.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fphar.2025.1738172","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T06:34:28Z","timestamp":1768890868000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Traditional herbal medicine for obesity-related polycystic ovary syndrome: a meta-analysis and data mining study"],"prefix":"10.3389","volume":"16","author":[{"given":"Lei","family":"Tang","sequence":"first","affiliation":[{"name":"Beijing University of Chinese Medicine","place":["Beijing, China"]},{"name":"Beijing University of Chinese Medicine Third Affiliated Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haijuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Peking University Third Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Pang","sequence":"additional","affiliation":[{"name":"Beijing Nuclear Industry Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guohua","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Chinese Medicine","place":["Beijing, China"]},{"name":"Beijing University of Chinese Medicine Third Affiliated Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Chinese Medicine","place":["Beijing, China"]},{"name":"Beijing University of Chinese Medicine Third Affiliated Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyao","family":"Lv","sequence":"additional","affiliation":[{"name":"Sanlitun Community Health Service Center","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,1,20]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170035.170072","article-title":"Mining association rules between sets of items in large databases","volume":"22","author":"Agrawal","year":"1993","journal-title":"ACM SIGMOD Rec."},{"key":"B2","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.metabol.2017.09.016","article-title":"Polycystic ovarian syndrome (PCOS): long-term metabolic consequences","volume":"86","author":"Anagnostis","year":"2018","journal-title":"Metabolism"},{"key":"B3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3969\/j.issn.1003-0719.2018.03.003","article-title":"Clinical observation on treatment for obesity-induced polycystic ovary syndrome with qihuang zengmin formula","volume":"41","author":"Bai","year":"2018","journal-title":"Guangxi J. 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