{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T13:47:12Z","timestamp":1789480032930,"version":"build-2803163510"},"reference-count":45,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T00:00:00Z","timestamp":1740528000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Nutr Health"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p>\n                    <jats:bold>Background:<\/jats:bold>\n                    Evidence increasingly supports the association of gout with metabolic syndrome (MetS). Studies have indicated that the prevalence of MetS among patients with gout ranges from 17 to over 70 percent.\n                    <jats:bold>Aim:<\/jats:bold>\n                    The purpose of this study was to establish the global prevalence of MetS in patients diagnosed with gout.\n                    <jats:bold>Methods:<\/jats:bold>\n                    To obtain studies related to the title, we systematically searched PubMed, Scopus, Web of Science, Embase, Science-Direct, and Google Scholar search engine to find all relevant articles that were published until the end of November 2023. Obtain and carry out the necessary evaluations. The\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    index was used to examine the heterogeneity of studies and the Random Effects model was used to analyze the data.\n                    <jats:bold>Results:<\/jats:bold>\n                    Following evaluation, we discovered 19 studies (23 findings), revealing an overall prevalence of MetS in gout patients as 46.8% (95% CI: 38.6\u201355.2%). On a regional level, subgroup analysis indicated the highest prevalence of MetS was in the American continent, with a rate of 60.6% (95% CI: 44.8\u201374.5%). In terms of the tool used for MetS measurement, the subgroup analysis showed the maximum prevalence rate of 54.6% was associated with the International Diabetes Federation criteria tool.\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    The results of this research showed that MetS is common among gout patients; therefore, policymakers should reduce the consequences and costs of this condition by focusing on these patients and performing appropriate and timely treatment and training.\n                  <\/jats:p>","DOI":"10.1177\/02601060251323013","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T03:07:21Z","timestamp":1740539241000},"page":"879-889","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Global prevalence of metabolic syndrome in patients with gout: A systematic review and meta-analysis"],"prefix":"10.1177","volume":"31","author":[{"given":"Pegah","family":"Heidarian","sequence":"first","affiliation":[{"name":"Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0307-879X","authenticated-orcid":false,"given":"Amir","family":"Jalali","sequence":"additional","affiliation":[{"name":"Substance Abuse Prevention Research Center, Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Shirzadi","sequence":"additional","affiliation":[{"name":"Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Romina","family":"Jalali","sequence":"additional","affiliation":[{"name":"Sleep Disorder Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ebrahim","family":"Ezzati","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, School of paramedical, Kermanshah University of Medical Sciences, Kermanshah, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"key":"e_1_3_4_2_1","first-page":"536","article-title":"Regularized machine learning models for prediction of metabolic syndrome using GCKR, APOA5, and BUD13 gene variants: Tehran cardiometabolic genetic study","volume":"25","author":"Alipour N","year":"2023","unstructured":"Alipour N, Kazemnejad A, Akbarzadeh M, et al. 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