医学
利西塞纳泰德
利拉鲁肽
赛马鲁肽
2型糖尿病
内科学
荟萃分析
减肥
艾塞那肽
安慰剂
超重
杜拉鲁肽
随机对照试验
体质指数
置信区间
儿科
肥胖
糖尿病
内分泌学
替代医学
病理
作者
Muhammad Aaqib Shamim,Amol Patil,Ulfat Amin,Tuli Roy,Krishna Raj Tiwari,Noor Husain,Jogender Kumar,Santenna Chenchula,Priyanka Rao,Venkata Ganesh,Shoban Babu Varthya,Surjit Singh,Ravindra Shukla,Ashu Rastogi,Aravind P. Gandhi,Prakasini Satapathy,Ranjit Sah,Bijaya Kumar Padhi,Pradeep Dwivedi,Kamlesh Khunti
摘要
Abstract Aim To synthesize the evidence on the effects of glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) in adolescents with overweight or obesity. Materials and Methods For this systematic review and network meta‐analysis, we searched five databases and registries until 2 March 2024 for eligible randomized controlled trials (RCTs). The primary outcome was weight change. We did a pairwise meta‐analysis to compare GLP‐1RAs and placebo, followed by a drug‐wise network meta‐analysis (NMA) to compare GLP‐1RAs against each other. Results We screened 770 records to include 12 RCTs with 883 participants. The evidence suggests that GLP‐1RAs reduced weight (mean difference −4.21 kg, 95% confidence interval [CI] −7.08 to −1.35) and body mass index (BMI; mean difference −2.11 kg/m 2 , 95% CI −3.60 to −0.62). The evidence on waist circumference, body fat percentage and adverse events (AEs) was very uncertain. The results remained consistent with subgroup analyses for coexisting type 2 diabetes. Longer therapy duration led to a greater reduction in weight and BMI. In the NMA, semaglutide led to the greatest weight reduction, followed by exenatide, liraglutide and lixisenatide. Conclusions The evidence suggests that GLP‐1RAs reduce most weight‐related outcomes in adolescents, with semaglutide being the most efficacious. There is uncertain evidence on body fat and serious AEs, probably due to fewer studies and low incidence, respectively. Larger RCTs with head‐to‐head comparisons, pragmatic design, adiposity‐related outcomes, and economic evaluation can further guide the use and choice of GLP‐1RAs.
科研通智能强力驱动
Strongly Powered by AbleSci AI