{"title":"免疫相关性糖尿病患者的血糖管理:一项范围综述","authors":"Yuan Jiang, Xiaoyan Wang, Lei Lei, Lihua Liu, Danfeng Wu, Siqi Zhang, Dairong Tang, Lingli Fan, Zhou Wen, Xiaojing Xue, Gang Feng","doi":"10.1177/20503121251358313","DOIUrl":null,"url":null,"abstract":"<p><p>Immune checkpoint inhibitors therapy in cancer patients may induce immune-related diabetes mellitus through islet β-cell destruction, necessitating systematic glycemic management. This scoping review aims to identify and synthesize evidence on glycemic management strategies for immune-related diabetes mellitus. Guided by Arksey and O'Malley's five-stage scoping review framework, we strictly adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. A systematic search was conducted across guideline repositories, academic databases, and professional oncology/endocrinology association websites. The search period spanned from database inception to June 30, 2024. Of 5085 initially identified records, 9 studies met inclusion criteria. Evidence was synthesized into five key domains: (1) risk assessment and early detection, (2) therapeutic interventions and monitoring, (3) patient education, (4) glycemic target optimization, and (5) multidisciplinary care coordination. This review consolidates evidence-based best practices for immune-related diabetes mellitus management derived from rigorous methodology. Clinicians should tailor these strategies to individual patient profiles to optimize outcomes while mitigating treatment disruptions.</p>","PeriodicalId":21398,"journal":{"name":"SAGE Open Medicine","volume":"13 ","pages":"20503121251358313"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12314252/pdf/","citationCount":"0","resultStr":"{\"title\":\"Glycemic management in patients with immune-related diabetes mellitus: A scoping review.\",\"authors\":\"Yuan Jiang, Xiaoyan Wang, Lei Lei, Lihua Liu, Danfeng Wu, Siqi Zhang, Dairong Tang, Lingli Fan, Zhou Wen, Xiaojing Xue, Gang Feng\",\"doi\":\"10.1177/20503121251358313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Immune checkpoint inhibitors therapy in cancer patients may induce immune-related diabetes mellitus through islet β-cell destruction, necessitating systematic glycemic management. This scoping review aims to identify and synthesize evidence on glycemic management strategies for immune-related diabetes mellitus. Guided by Arksey and O'Malley's five-stage scoping review framework, we strictly adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. A systematic search was conducted across guideline repositories, academic databases, and professional oncology/endocrinology association websites. The search period spanned from database inception to June 30, 2024. Of 5085 initially identified records, 9 studies met inclusion criteria. Evidence was synthesized into five key domains: (1) risk assessment and early detection, (2) therapeutic interventions and monitoring, (3) patient education, (4) glycemic target optimization, and (5) multidisciplinary care coordination. This review consolidates evidence-based best practices for immune-related diabetes mellitus management derived from rigorous methodology. Clinicians should tailor these strategies to individual patient profiles to optimize outcomes while mitigating treatment disruptions.</p>\",\"PeriodicalId\":21398,\"journal\":{\"name\":\"SAGE Open Medicine\",\"volume\":\"13 \",\"pages\":\"20503121251358313\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12314252/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAGE Open Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/20503121251358313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAGE Open Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20503121251358313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Glycemic management in patients with immune-related diabetes mellitus: A scoping review.
Immune checkpoint inhibitors therapy in cancer patients may induce immune-related diabetes mellitus through islet β-cell destruction, necessitating systematic glycemic management. This scoping review aims to identify and synthesize evidence on glycemic management strategies for immune-related diabetes mellitus. Guided by Arksey and O'Malley's five-stage scoping review framework, we strictly adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. A systematic search was conducted across guideline repositories, academic databases, and professional oncology/endocrinology association websites. The search period spanned from database inception to June 30, 2024. Of 5085 initially identified records, 9 studies met inclusion criteria. Evidence was synthesized into five key domains: (1) risk assessment and early detection, (2) therapeutic interventions and monitoring, (3) patient education, (4) glycemic target optimization, and (5) multidisciplinary care coordination. This review consolidates evidence-based best practices for immune-related diabetes mellitus management derived from rigorous methodology. Clinicians should tailor these strategies to individual patient profiles to optimize outcomes while mitigating treatment disruptions.