Metformin monotherapy for type 2 diabetes mellitus

医学 二甲双胍 内科学 糖尿病 2型糖尿病 2型糖尿病 大血管病 冲程(发动机) 相对风险 糖尿病性视网膜病变 荟萃分析 置信区间 内分泌学 机械工程 工程类
作者
Antonio Sáenz,Inmaculada Fernandez-Esteban,A.L. Mataix,Mónica Ausejo Segura,Marta Roqué i Figuls,David Moher
出处
期刊:Cochrane Database of Systematic Reviews [Cochrane]
被引量:313
标识
DOI:10.1002/14651858.cd002966.pub3
摘要

Metformin is an anti-hyperglycaemic agent used for the treatment of type 2 diabetes mellitus. Type 2 diabetes may present long-term complications: micro- (retinopathy, nephropathy and neuropathy) and macrovascular (stroke, myocardial infarction and peripheral vascular disease). Two meta-analyses have been published before, although only secondary outcomes were assessed.To assess the effects of metformin monotherapy on mortality, morbidity, quality of life, glycaemic control, body weight, lipid levels, blood pressure, insulinaemia, and albuminuria in patients with type 2 diabetes mellitus.Studies were obtained from computerised searches of multiple electronic databases and hand searches of reference lists of relevant trials identified. Date of last search: September 2003.Trials fulfilling the following inclusion criteria: Diabetes mellitus type 2, metformin versus any other oral intervention, assessment of relevant clinical outcome measures, use of random allocation.Two reviewers extracted data, using a standard data extraction form. Data were summarised under a random effects model. Dichotomous data were expressed as relative risk. We calculated the risk difference (RD), and the Number Needed to Treat, when it was possible. We collected data of mean and standard deviation from changes to baseline. However many trials reported end point data. This limitation lead to the expression of the results as standardised mean differences (SMD) and an overall SMD was calculated. Heterogeneity was tested for using the Z score and the I-squared statistic. Subgroup, sensitivity analysis and meta-regression were used to explore heterogeneity.We included for analysis 29 trials with 37 arms (5259 participants), comparing metformin (37 arms and 2007 participants) with sulphonylureas (13 and 1167), placebo (12 and 702), diet (three and 493), thiazolidinediones (three and 132), insulin (two and 439), meglitinides (two and 208), and glucosidase inhibitors (two and 111). Nine studies reported data on primary outcomes. Obese patients allocated to intensive blood glucose control with metformin showed a greater benefit than chlorpropamide, glibenclamide, or insulin for any diabetes-related outcomes (P = 0.009), and for all-cause mortality (P = 0.03). Obese participants assigned to intensive blood glucose control with metformin showed a greater benefit than overweight patients on conventional treatment for any diabetes-related outcomes (P = 0.004), diabetes-related death (P = 0.03), all-cause mortality (P = 0.01), and myocardial infarction (P = 0.02). Patients assigned to metformin monotherapy showed a significant benefit for glycaemia control, weight, dyslipidaemia, and diastolic blood pressure. Metformin presents a strong benefit for HbA1c when compared with placebo and diet; and a moderated benefit for: glycaemia control, LDL cholesterol, and BMI or weight when compared with sulphonylureas.Metformin may be the first therapeutic option in the diabetes mellitus type 2 with overweight or obesity, as it may prevent some vascular complications, and mortality. Metformin produces beneficial changes in glycaemia control, and moderated in weight, lipids, insulinaemia and diastolic blood pressure. Sulphonylureas, alpha-glucosidase inhibitors, thiazolidinediones, meglitinides, insulin, and diet fail to show more benefit for glycaemia control, body weight, or lipids, than metformin.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
曾经的无极完成签到,获得积分10
刚刚
17871635733完成签到,获得积分10
刚刚
刚刚
1秒前
爆米花应助问问问采纳,获得10
1秒前
2秒前
2秒前
xue发布了新的文献求助10
3秒前
3秒前
香蕉觅云应助Snoval采纳,获得10
3秒前
3秒前
gggggd完成签到,获得积分10
4秒前
天天快乐应助passion采纳,获得10
4秒前
青萍子林完成签到,获得积分10
4秒前
4秒前
infe完成签到,获得积分10
4秒前
稀饭发布了新的文献求助10
4秒前
司空踏歌完成签到,获得积分10
5秒前
一颗柚子发布了新的文献求助10
5秒前
5秒前
yeye发布了新的文献求助10
5秒前
hehe发布了新的文献求助10
6秒前
食杂砸完成签到,获得积分10
6秒前
7秒前
8秒前
冷静的冰露完成签到,获得积分10
8秒前
马子妍发布了新的文献求助10
8秒前
许王立发布了新的文献求助30
9秒前
9秒前
pluto应助荣荣采纳,获得10
10秒前
hew发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
lalala完成签到,获得积分20
12秒前
房恩羽完成签到,获得积分10
12秒前
泯工完成签到,获得积分10
12秒前
充电宝应助安康采纳,获得10
12秒前
Ll_l完成签到,获得积分10
12秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5719256
求助须知:如何正确求助?哪些是违规求助? 5255673
关于积分的说明 15288302
捐赠科研通 4869143
什么是DOI,文献DOI怎么找? 2614653
邀请新用户注册赠送积分活动 1564667
关于科研通互助平台的介绍 1521894