Department of Science and Technology, Shanghai University of Medicine and Health Sciences, Shanghai.
The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou.
Medicine (Baltimore). 2021 Mar 19;100(11):e24812. doi: 10.1097/MD.0000000000024812.
Obesity is a worldwide problem and is associated with multiple negative health effects. Obesity also has a direct relationship with risk of diabetes. Several pharmacotherapy weight-reducing interventions have been employed to prevent type 2 diabetes (T2D) in overweight or obese adults and older adults. However, data with respect to comparative effectiveness are limited. To address this gap, in this study, evidence on benefits of anti-obesity agents for preventing diabetes will be systematically reviewed using a network meta-analysis.
We will perform an online systematic search for randomized controlled trials (RCTs) investigating 5 FDA-approved anti-obesity agents for preventing T2D in obese or overweight adults and older adults through electronic databases of PubMed, Embase, and the Cochrane Library from inception until December 31, 2020. Two independent reviewers will screen titles, abstracts, and full-texts of all potentially eligible trials. Two authors working independently will abstract data on trial-, participant- and intervention-related characteristics. The primary outcome will be incidence of T2D. Secondary outcomes will be achievement of normoglycaemia in patients with prediabetes, percentage of individuals achieving at least 5% or 10% weight loss of their baseline weight. We will conduct pairwise meta-analyses for all outcomes included in this study. To determine comparative efficacy of multiple interventions, network meta-analysis with a frequentist random-effects model will be performed. Moreover, subgroup analyses and sensitivity analyses will be performed to assess the robustness of our findings. To evaluate publication bias, the comparison-adjusted funnel plot will be utilized. Stata version 14.0 and RevMan version 5.3.3 will be used to perform all statistical analyses.
This study will evaluate the effectiveness of weight-loss medications on T2D prevention in overweight or obese people.
This study will generate meaningful findings for overweight or obese adults and older adults, clinicians, and policy-makers concerning the optimal anti-obesity pharmacotherapy to decrease risk of T2D.
INPLASY202110104.
肥胖是一个全球性的问题,与多种负面健康影响有关。肥胖也与糖尿病风险直接相关。已经采用了几种药物疗法来减轻体重的干预措施,以预防超重或肥胖成年人和老年人的 2 型糖尿病 (T2D)。然而,关于比较效果的数据有限。为了解决这一差距,在这项研究中,我们将使用网络荟萃分析系统地审查抗肥胖药物预防糖尿病的益处证据。
我们将通过电子数据库 PubMed、Embase 和 Cochrane Library 对从成立到 2020 年 12 月 31 日为止的肥胖或超重成年人和老年人中 5 种 FDA 批准的抗肥胖药物预防 T2D 的随机对照试验 (RCT) 进行在线系统搜索。两名独立的审查员将筛选所有潜在合格试验的标题、摘要和全文。两名作者独立提取试验、参与者和干预相关特征的数据。主要结局将是 T2D 的发病率。次要结局将是糖尿病前期患者达到正常血糖水平的比例,以及达到基线体重至少减轻 5%或 10%的个体比例。我们将对本研究中包含的所有结局进行两两荟萃分析。为了确定多种干预措施的比较疗效,将采用具有频繁效应模型的网络荟萃分析。此外,还将进行亚组分析和敏感性分析,以评估我们发现的稳健性。为了评估发表偏倚,将使用比较调整的漏斗图。Stata 版本 14.0 和 RevMan 版本 5.3.3 将用于执行所有统计分析。
本研究将评估减肥药物对超重或肥胖人群 T2D 预防的有效性。
本研究将为超重或肥胖成年人和老年人、临床医生和决策者提供有关降低 T2D 风险的最佳抗肥胖药物治疗的有意义的发现。
INPLASY202110104。