{"title":"胰高血糖素样肽-1 受体激动剂和钠-葡萄糖共转运体 2 抑制剂对血管内膜厚度的影响:系统回顾和元分析","authors":"Abolfazl Akbari, Shiva Hadizadeh, Leida Heidary","doi":"10.1155/2024/3212795","DOIUrl":null,"url":null,"abstract":"<i>Background</i>. Beyond glycemic control, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) have been proposed to reduce the risk of cardiovascular events. The aim of the present systematic review and meta-analysis is to demonstrate the effects of GLP-1 RA and SGLT2is on intima-media thickness (IMT). <i>Methods</i>. PubMed, EMBASE, Web of Science, SCOPUS, and Google Scholar databases were searched from inception to September 9, 2023. All interventional and observational studies that provided data on the effects of GLP-1 RAs or SGLT2is on IMT were included. Critical appraisal was performed using the Joanna Briggs Institute checklists. IMT changes (preintervention and postintervention) were pooled and meta-analyzed using a random-effects model. Subgroup analyses were based on type of medication (GLP-1 RA: liraglutide and exenatide; SGLT2i: empagliflozin, ipragliflozin, tofogliflozin, and dapagliflozin), randomized clinical trials (RCTs), and diabetic patients. <i>Results</i>. The literature search yielded 708 related articles after duplicates were removed. Eighteen studies examined the effects of GLP-1 RA, and eleven examined the effects of SGLT2i. GLP-1 RA and SGLT2i significantly decreased IMT (<span><svg height=\"8.87491pt\" style=\"vertical-align:-0.3499308pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.52498 32.48 8.87491\" width=\"32.48pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,11.583,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,24.849,0)\"></path></g></svg><span></span><span><svg height=\"8.87491pt\" style=\"vertical-align:-0.3499308pt\" version=\"1.1\" viewbox=\"36.0621838 -8.52498 35.816 8.87491\" width=\"35.816pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,36.112,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,43.743,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,49.983,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,52.947,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,59.187,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,65.427,0)\"></path></g></svg>,</span></span> 95% CI (-0.170, -0.076), <span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 19.289 9.2729\" width=\"19.289pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,11.658,0)\"></path></g></svg><span></span><span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"22.8711838 -8.6359 34.445 9.2729\" width=\"34.445pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.921,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,29.161,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,32.125,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.365,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,50.845,0)\"><use xlink:href=\"#g113-50\"></use></g></svg>,</span></span> <span><svg height=\"12.0588pt\" style=\"vertical-align:-0.4673996pt\" version=\"1.1\" viewbox=\"-0.0498162 -11.5914 21.776 12.0588\" width=\"21.776pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.0091,0,0,-0.0091,5.567,-5.741)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,14.145,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><svg height=\"12.0588pt\" style=\"vertical-align:-0.4673996pt\" version=\"1.1\" viewbox=\"25.358183800000003 -11.5914 22.538 12.0588\" width=\"22.538pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,25.408,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.65,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,37.89,0)\"></path></g></svg></span> and <span><svg height=\"8.87491pt\" style=\"vertical-align:-0.3499308pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.52498 32.48 8.87491\" width=\"32.48pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g190-78\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.583,0)\"><use xlink:href=\"#g190-69\"></use></g><g transform=\"matrix(.013,0,0,-0.013,24.849,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"8.87491pt\" style=\"vertical-align:-0.3499308pt\" version=\"1.1\" viewbox=\"36.0621838 -8.52498 35.816 8.87491\" width=\"35.816pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,36.112,0)\"><use xlink:href=\"#g117-33\"></use></g><g transform=\"matrix(.013,0,0,-0.013,43.743,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,49.983,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,52.947,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,59.187,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,65.427,0)\"><use xlink:href=\"#g113-57\"></use></g></svg>,</span></span> 95% CI (-0.092, -0.004), <span><svg height=\"8.8423pt\" style=\"vertical-align:-0.2064009pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 19.289 8.8423\" width=\"19.289pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-81\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.658,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"8.8423pt\" style=\"vertical-align:-0.2064009pt\" version=\"1.1\" viewbox=\"22.8711838 -8.6359 28.182 8.8423\" width=\"28.182pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.921,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,29.161,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,32.125,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.365,0)\"><use xlink:href=\"#g113-52\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.605,0)\"><use xlink:href=\"#g113-50\"></use></g></svg>,</span></span> <span><svg height=\"12.0588pt\" style=\"vertical-align:-0.4673996pt\" version=\"1.1\" viewbox=\"-0.0498162 -11.5914 21.776 12.0588\" width=\"21.776pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-74\"></use></g><g transform=\"matrix(.0091,0,0,-0.0091,5.567,-5.741)\"><use xlink:href=\"#g50-51\"></use></g><g transform=\"matrix(.013,0,0,-0.013,14.145,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"12.0588pt\" style=\"vertical-align:-0.4673996pt\" version=\"1.1\" viewbox=\"25.358183800000003 -11.5914 22.538 12.0588\" width=\"22.538pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,25.408,0)\"><use xlink:href=\"#g113-58\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.65,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,37.89,0)\"><use xlink:href=\"#g121-35\"></use></g></svg>,</span></span> respectively). Metaregression showed that IMT change correlated with baseline IMT, whereas it did not correlate with gender, duration of diabetes, and duration of treatment. <i>Conclusions</i>. Treatment with GLP-1 RA and SGLT2i can lower IMT in diabetic patients, and GLP-1 RA may be more effective than SGLT2i.","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"19 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of Glucagon-Like Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors on Intima-Media Thickness: Systematic Review and Meta-Analysis\",\"authors\":\"Abolfazl Akbari, Shiva Hadizadeh, Leida Heidary\",\"doi\":\"10.1155/2024/3212795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<i>Background</i>. Beyond glycemic control, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) have been proposed to reduce the risk of cardiovascular events. The aim of the present systematic review and meta-analysis is to demonstrate the effects of GLP-1 RA and SGLT2is on intima-media thickness (IMT). <i>Methods</i>. PubMed, EMBASE, Web of Science, SCOPUS, and Google Scholar databases were searched from inception to September 9, 2023. All interventional and observational studies that provided data on the effects of GLP-1 RAs or SGLT2is on IMT were included. Critical appraisal was performed using the Joanna Briggs Institute checklists. IMT changes (preintervention and postintervention) were pooled and meta-analyzed using a random-effects model. Subgroup analyses were based on type of medication (GLP-1 RA: liraglutide and exenatide; SGLT2i: empagliflozin, ipragliflozin, tofogliflozin, and dapagliflozin), randomized clinical trials (RCTs), and diabetic patients. <i>Results</i>. The literature search yielded 708 related articles after duplicates were removed. Eighteen studies examined the effects of GLP-1 RA, and eleven examined the effects of SGLT2i. GLP-1 RA and SGLT2i significantly decreased IMT (<span><svg height=\\\"8.87491pt\\\" style=\\\"vertical-align:-0.3499308pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.52498 32.48 8.87491\\\" width=\\\"32.48pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,11.583,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,24.849,0)\\\"></path></g></svg><span></span><span><svg height=\\\"8.87491pt\\\" style=\\\"vertical-align:-0.3499308pt\\\" version=\\\"1.1\\\" viewbox=\\\"36.0621838 -8.52498 35.816 8.87491\\\" width=\\\"35.816pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,36.112,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,43.743,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,49.983,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,52.947,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,59.187,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,65.427,0)\\\"></path></g></svg>,</span></span> 95% CI (-0.170, -0.076), <span><svg height=\\\"9.2729pt\\\" style=\\\"vertical-align:-0.6370001pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.6359 19.289 9.2729\\\" width=\\\"19.289pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,11.658,0)\\\"></path></g></svg><span></span><span><svg height=\\\"9.2729pt\\\" style=\\\"vertical-align:-0.6370001pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.8711838 -8.6359 34.445 9.2729\\\" width=\\\"34.445pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.921,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,29.161,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,32.125,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.365,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,44.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,50.845,0)\\\"><use xlink:href=\\\"#g113-50\\\"></use></g></svg>,</span></span> <span><svg height=\\\"12.0588pt\\\" style=\\\"vertical-align:-0.4673996pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -11.5914 21.776 12.0588\\\" width=\\\"21.776pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.0091,0,0,-0.0091,5.567,-5.741)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,14.145,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><svg height=\\\"12.0588pt\\\" style=\\\"vertical-align:-0.4673996pt\\\" version=\\\"1.1\\\" viewbox=\\\"25.358183800000003 -11.5914 22.538 12.0588\\\" width=\\\"22.538pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,25.408,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,31.65,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,37.89,0)\\\"></path></g></svg></span> and <span><svg height=\\\"8.87491pt\\\" style=\\\"vertical-align:-0.3499308pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.52498 32.48 8.87491\\\" width=\\\"32.48pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g190-78\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.583,0)\\\"><use xlink:href=\\\"#g190-69\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,24.849,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"8.87491pt\\\" style=\\\"vertical-align:-0.3499308pt\\\" version=\\\"1.1\\\" viewbox=\\\"36.0621838 -8.52498 35.816 8.87491\\\" width=\\\"35.816pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,36.112,0)\\\"><use xlink:href=\\\"#g117-33\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,43.743,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,49.983,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,52.947,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,59.187,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,65.427,0)\\\"><use xlink:href=\\\"#g113-57\\\"></use></g></svg>,</span></span> 95% CI (-0.092, -0.004), <span><svg height=\\\"8.8423pt\\\" style=\\\"vertical-align:-0.2064009pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.6359 19.289 8.8423\\\" width=\\\"19.289pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-81\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.658,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"8.8423pt\\\" style=\\\"vertical-align:-0.2064009pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.8711838 -8.6359 28.182 8.8423\\\" width=\\\"28.182pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.921,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,29.161,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,32.125,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.365,0)\\\"><use xlink:href=\\\"#g113-52\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,44.605,0)\\\"><use xlink:href=\\\"#g113-50\\\"></use></g></svg>,</span></span> <span><svg height=\\\"12.0588pt\\\" style=\\\"vertical-align:-0.4673996pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -11.5914 21.776 12.0588\\\" width=\\\"21.776pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-74\\\"></use></g><g transform=\\\"matrix(.0091,0,0,-0.0091,5.567,-5.741)\\\"><use xlink:href=\\\"#g50-51\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,14.145,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"12.0588pt\\\" style=\\\"vertical-align:-0.4673996pt\\\" version=\\\"1.1\\\" viewbox=\\\"25.358183800000003 -11.5914 22.538 12.0588\\\" width=\\\"22.538pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,25.408,0)\\\"><use xlink:href=\\\"#g113-58\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.65,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,37.89,0)\\\"><use xlink:href=\\\"#g121-35\\\"></use></g></svg>,</span></span> respectively). Metaregression showed that IMT change correlated with baseline IMT, whereas it did not correlate with gender, duration of diabetes, and duration of treatment. <i>Conclusions</i>. Treatment with GLP-1 RA and SGLT2i can lower IMT in diabetic patients, and GLP-1 RA may be more effective than SGLT2i.\",\"PeriodicalId\":15576,\"journal\":{\"name\":\"Journal of Diabetes Research\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1155/2024/3212795\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/2024/3212795","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
背景。除了控制血糖外,胰高血糖素样肽-1 受体激动剂(GLP-1 RA)和钠-葡萄糖共转运体 2 抑制剂(SGLT2is)也被认为可以降低心血管事件的风险。本系统综述和荟萃分析旨在证明 GLP-1 RA 和 SGLT2is 对内膜中层厚度(IMT)的影响。研究方法检索了从开始到 2023 年 9 月 9 日的 PubMed、EMBASE、Web of Science、SCOPUS 和 Google Scholar 数据库。纳入了所有提供 GLP-1 RAs 或 SGLT2is 对血管内皮厚度影响数据的干预性和观察性研究。采用乔安娜-布里格斯研究所(Joanna Briggs Institute)的核对表进行严格评估。采用随机效应模型对 IMT 变化(干预前和干预后)进行汇总和元分析。分组分析基于药物类型(GLP-1 RA:利拉鲁肽和艾塞那肽;SGLT2i:empagliflozin、ipragliflozin、tofogliflozin 和 dapagliflozin)、随机临床试验(RCT)和糖尿病患者。结果。文献检索在剔除重复内容后共获得 708 篇相关文章。18 项研究探讨了 GLP-1 RA 的效果,11 项研究探讨了 SGLT2i 的效果。GLP-1 RA和SGLT2i可显著降低IMT(分别为95% CI (-0.170, -0.076), , 和95% CI (-0.092, -0.004), , , )。元回归显示,IMT变化与基线IMT相关,而与性别、糖尿病病程和治疗时间无关。结论GLP-1 RA和SGLT2i治疗可降低糖尿病患者的IMT,GLP-1 RA可能比SGLT2i更有效。
Effects of Glucagon-Like Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors on Intima-Media Thickness: Systematic Review and Meta-Analysis
Background. Beyond glycemic control, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) have been proposed to reduce the risk of cardiovascular events. The aim of the present systematic review and meta-analysis is to demonstrate the effects of GLP-1 RA and SGLT2is on intima-media thickness (IMT). Methods. PubMed, EMBASE, Web of Science, SCOPUS, and Google Scholar databases were searched from inception to September 9, 2023. All interventional and observational studies that provided data on the effects of GLP-1 RAs or SGLT2is on IMT were included. Critical appraisal was performed using the Joanna Briggs Institute checklists. IMT changes (preintervention and postintervention) were pooled and meta-analyzed using a random-effects model. Subgroup analyses were based on type of medication (GLP-1 RA: liraglutide and exenatide; SGLT2i: empagliflozin, ipragliflozin, tofogliflozin, and dapagliflozin), randomized clinical trials (RCTs), and diabetic patients. Results. The literature search yielded 708 related articles after duplicates were removed. Eighteen studies examined the effects of GLP-1 RA, and eleven examined the effects of SGLT2i. GLP-1 RA and SGLT2i significantly decreased IMT (, 95% CI (-0.170, -0.076), , and , 95% CI (-0.092, -0.004), ,, respectively). Metaregression showed that IMT change correlated with baseline IMT, whereas it did not correlate with gender, duration of diabetes, and duration of treatment. Conclusions. Treatment with GLP-1 RA and SGLT2i can lower IMT in diabetic patients, and GLP-1 RA may be more effective than SGLT2i.
期刊介绍:
Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.