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2型糖尿病患者的磺脲类单药治疗

Sulphonylurea monotherapy for patients with type 2 diabetes mellitus.

作者信息

Hemmingsen Bianca, Schroll Jeppe B, Lund Søren S, Wetterslev Jørn, Gluud Christian, Vaag Allan, Sonne David Peick, Lundstrøm Lars H, Almdal Thomas

机构信息

CopenhagenTrialUnit,Centre forClinical InterventionResearch,Department 7812,Rigshospitalet,CopenhagenUniversityHospital,Copenhagen,Denmark.

出版信息

Cochrane Database Syst Rev. 2013 Apr 30(4):CD009008. doi: 10.1002/14651858.CD009008.pub2.

DOI:10.1002/14651858.CD009008.pub2
PMID:23633364
Abstract

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a growing health problem worldwide. Whether sulphonylureas show better, equal or worse therapeutic effects in comparison with other antidiabetic interventions for patients with T2DM remains controversial.

OBJECTIVES

To assess the effects of sulphonylurea monotherapy versus placebo, no intervention or other antidiabetic interventions for patients with T2DM.

SEARCH METHODS

We searched publications in The Cochrane Library, MEDLINE, EMBASE, Science Citation Index Expanded, LILACS and CINAHL (all until August 2011) to obtain trials fulfilling the inclusion criteria for our review.

SELECTION CRITERIA

We included clinical trials that randomised patients 18 years old or more with T2DM to sulphonylurea monotherapy with a duration of 24 weeks or more.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed the risk of bias. The primary outcomes were all-cause and cardiovascular mortality. Secondary outcomes were other patient-important outcomes and metabolic variables. Where possible, we used risk ratios (RR) with 95% confidence intervals (95% CI) to analyse the treatment effect of dichotomous outcomes. We used mean differences with 95% CI to analyse the treatment effect of continuous outcomes. We evaluated the risk of bias. We conducted trial sequential analyses to assess whether firm evidence could be established for a 10% relative risk reduction (RRR) between intervention groups.

MAIN RESULTS

We included 72 randomised controlled trials (RCTs) with 22,589 participants; 9707 participants randomised to sulphonylureas versus 12,805 participants randomised to control interventions. The duration of the interventions varied from 24 weeks to 10.7 years. We judged none of the included trials as low risk of bias for all bias domains. Patient-important outcomes were seldom reported.First-generation sulphonylureas (FGS) versus placebo or insulin did not show statistical significance for all-cause mortality (versus placebo: RR 1.46, 95% CI 0.87 to 2.45; P = 0.15; 2 trials; 553 participants; high risk of bias (HRB); versus insulin: RR 1.18, 95% CI 0.88 to 1.59; P = 0.26; 2 trials; 1944 participants; HRB). FGS versus placebo showed statistical significance for cardiovascular mortality in favour of placebo (RR 2.63, 95% CI 1.32 to 5.22; P = 0.006; 2 trials; 553 participants; HRB). FGS versus insulin did not show statistical significance for cardiovascular mortality (RR 1.36, 95% CI 0.68 to 2.71; P = 0.39; 2 trials; 1944 participants; HRB). FGS versus alpha-glucosidase inhibitors showed statistical significance in favour of FGS for adverse events (RR 0.63, 95% CI 0.52 to 0.76; P = 0.01; 2 trials; 246 participants; HRB) and for drop-outs due to adverse events (RR 0.28, 95% CI 0.12 to 0.67; P = 0.004; 2 trials; 246 participants; HRB).Second-generation sulphonylureas (SGS) versus metformin (RR 0.98, 95% CI 0.61 to 1.58; P = 0.68; 6 trials; 3528 participants; HRB), thiazolidinediones (RR 0.92, 95% CI 0.60 to 1.41; P = 0.70; 7 trials; 4955 participants; HRB), insulin (RR 0.96, 95% CI 0.79 to 1.18; P = 0.72; 4 trials; 1642 participants; HRB), meglitinides (RR 1.44, 95% CI 0.47 to 4.42; P = 0.52; 7 trials; 2038 participants; HRB), or incretin-based interventions (RR 1.39, 95% CI 0.52 to 3.68; P = 0.51; 2 trials; 1503 participants; HRB) showed no statistically significant effects regarding all-cause mortality in a random-effects model. SGS versus metformin (RR 1.47; 95% CI 0.54 to 4.01; P = 0.45; 6 trials; 3528 participants; HRB), thiazolidinediones (RR 1.30, 95% CI 0.55 to 3.07; P = 0.55; 7 trials; 4955 participants; HRB), insulin (RR 0.96, 95% CI 0.73 to 1.28; P = 0.80; 4 trials; 1642 participants; HRB) or meglitinide (RR 0.97, 95% CI 0.27 to 3.53; P = 0.97; 7 trials, 2038 participants, HRB) showed no statistically significant effects regarding cardiovascular mortality. Mortality data for the SGS versus placebo were sparse. SGS versus thiazolidinediones and meglitinides did not show statistically significant differences for a composite of non-fatal macrovascular outcomes. SGS versus metformin showed statistical significance in favour of SGS for a composite of non-fatal macrovascular outcomes (RR 0.67, 95% CI 0.48 to 0.93; P = 0.02; 3018 participants; 3 trials; HRB). The definition of non-fatal macrovascular outcomes varied among the trials. SGS versus metformin, thiazolidinediones and meglitinides showed no statistical significance for non-fatal myocardial infarction. No meta-analyses could be performed for microvascular outcomes. SGS versus placebo, metformin, thiazolidinediones, alpha-glucosidase inhibitors or meglitinides showed no statistical significance for adverse events. SGS versus alpha-glucosidase inhibitors showed statistical significance in favour of SGS for drop-outs due to adverse events (RR 0.48, 95% CI 0.24 to 0.96; P = 0.04; 9 trials; 870 participants; HRB). SGS versus meglitinides showed no statistical significance for the risk of severe hypoglycaemia. SGS versus metformin and thiazolidinediones showed statistical significance in favour of metformin (RR 5.64, 95% CI 1.22 to 26.00; P = 0.03; 4 trials; 3637 participants; HRB) and thiazolidinediones (RR 6.11, 95% CI 1.57 to 23.79; P = 0.009; 6 trials; 5660 participants; HRB) for severe hypoglycaemia.Third-generation sulphonylureas (TGS) could not be included in any meta-analysis of all-cause mortality, cardiovascular mortality or non-fatal macro- or microvascular outcomes. TGS versus thiazolidinediones showed statistical significance regarding adverse events in favour of TGS (RR 0.88, 95% CI 0.78 to 0.99; P = 0.03; 3 trials; 510 participants; HRB). TGS versus thiazolidinediones did not show any statistical significance for drop-outs due to adverse events. TGS versus other comparators could not be performed due to lack of data.For the comparison of SGS versus FGS no meta-analyses of all-cause mortality, cardiovascular mortality, non-fatal macro- or microvascular outcomes, or adverse events could be performed.Health-related quality of life and costs of intervention could not be meta-analysed due to lack of data.In trial sequential analysis, none of the analyses of mortality outcomes, vascular outcomes or severe hypoglycaemia met the criteria for firm evidence of a RRR of 10% between interventions.

AUTHORS' CONCLUSIONS: There is insufficient evidence from RCTs to support the decision as to whether to initiate sulphonylurea monotherapy. Data on patient-important outcomes are lacking. Therefore, large-scale and long-term randomised clinical trials with low risk of bias, focusing on patient-important outcomes are required.

摘要

背景

2型糖尿病(T2DM)是一个在全球范围内日益严重的健康问题。与其他抗糖尿病干预措施相比,磺脲类药物对T2DM患者的治疗效果更好、相同还是更差仍存在争议。

目的

评估磺脲类单药治疗与安慰剂、不干预或其他抗糖尿病干预措施对T2DM患者的影响。

检索方法

我们检索了Cochrane图书馆、MEDLINE、EMBASE、科学引文索引扩展版、LILACS和CINAHL(截至2011年8月)中的出版物,以获取符合我们综述纳入标准的试验。

选择标准

我们纳入了将18岁及以上的T2DM患者随机分配至磺脲类单药治疗且疗程为24周或更长时间的临床试验。

数据收集与分析

两位作者独立评估偏倚风险。主要结局是全因死亡率和心血管死亡率。次要结局是其他对患者重要的结局和代谢变量。在可能的情况下,我们使用风险比(RR)及95%置信区间(95%CI)来分析二分结局的治疗效果。我们使用均值差及95%CI来分析连续结局的治疗效果。我们评估了偏倚风险。我们进行了试验序贯分析,以评估是否能确定干预组之间相对风险降低10%(RRR)的确凿证据。

主要结果

我们纳入了72项随机对照试验(RCT),共22589名参与者;9707名参与者被随机分配至磺脲类药物组,12805名参与者被随机分配至对照干预组。干预持续时间从24周至10.7年不等。我们认为纳入的试验在所有偏倚领域均无低偏倚风险。很少报告对患者重要的结局。第一代磺脲类药物(FGS)与安慰剂或胰岛素相比,在全因死亡率方面无统计学意义(与安慰剂相比:RR 1.46,95%CI 0.87至2.45;P = 0.15;2项试验;553名参与者;高偏倚风险(HRB);与胰岛素相比:RR 1.18,95%CI 0.88至1.59;P = 0.26;2项试验;1944名参与者;HRB)。FGS与安慰剂相比,在心血管死亡率方面有统计学意义,支持安慰剂(RR 2.63,95%CI 1.32至5.22;P = 0.006;2项试验;553名参与者;HRB)。FGS与胰岛素相比,在心血管死亡率方面无统计学意义(RR 1.36,95%CI 0.68至2.71;P = 0.39;2项试验;1944名参与者;HRB)。FGS与α-葡萄糖苷酶抑制剂相比,在不良事件方面有统计学意义,支持FGS(RR 0.63,95%CI 0.52至0.76;P = 0.01;2项试验;246名参与者;HRB),在因不良事件导致的退出方面也有统计学意义(RR 0.28,95%CI 0.12至0.67;P = 0.004;2项试验;246名参与者;HRB)。第二代磺脲类药物(SGS)与二甲双胍(RR 0.98,95%CI 0.61至1.58;P = 0.68;6项试验;3528名参与者;HRB)、噻唑烷二酮类药物(RR 0.92,95%CI 0.60至1.41;P = 0.70;7项试验;4955名参与者;HRB)、胰岛素(RR 0.96,95%CI 0.79至1.18;P = 0.72;4项试验;1642名参与者;HRB)、格列奈类药物(RR 1.44,95%CI 0.47至4.42;P = 0.52;7项试验;2038名参与者;HRB)或基于肠促胰岛素的干预措施(RR 1.39,95%CI 0.52至3.68;P = 0.51;2项试验;1503名参与者;HRB)相比,在随机效应模型中,全因死亡率方面无统计学意义。SGS与二甲双胍(RR 1.47;95%CI 0.54至4.01;P = 0.45;6项试验;3528名参与者;HRB)、噻唑烷二酮类药物(RR 1.30,95%CI 0.55至3.07;P = 0.55;7项试验;4955名参与者;HRB)、胰岛素(RR 0.96, 95%CI 0.73至1.28;P = 0.80;4项试验;1642名参与者;HRB)或格列奈类药物(RR 0.97,95%CI 0.27至3.53;P = 0.97;7项试验,2038名参与者,HRB)相比,心血管死亡率方面无统计学意义。SGS与安慰剂的死亡率数据较少。SGS与噻唑烷二酮类药物和格列奈类药物相比,非致命性大血管结局的综合指标无统计学差异。SGS与二甲双胍相比,非致命性大血管结局的综合指标有统计学意义,支持SGS(RR 0.67,95%CI 0.48至0.93;P = 0.02;3018名参与者;3项试验;HRB)。各试验中对非致命性大血管结局的定义不同。SGS与二甲双胍、噻唑烷二酮类药物和格列奈类药物相比,非致命性心肌梗死无统计学意义。无法对微血管结局进行荟萃分析。SGS与安慰剂、二甲双胍、噻唑烷二酮类药物、α-葡萄糖苷酶抑制剂或格列奈类药物相比,不良事件无统计学意义。SGS与α-葡萄糖苷酶抑制剂相比,在因不良事件导致的退出方面有统计学意义,支持SGS(RR 0.48,95%CI 0.24至0.96;P = 0.04;9项试验;870名参与者;HRB)。SGS与格列奈类药物相比, 严重低血糖风险无统计学意义。SGS与二甲双胍和噻唑烷二酮类药物相比,严重低血糖有统计学意义,支持二甲双胍(RR 5.64,95%CI 1.22至26.00;P = 0.03;4项试验;3637名参与者;HRB)和噻唑烷二酮类药物(RR 6.11,95%CI 1.57至23.79;P = 0.009;6项试验;5660名参与者;HRB)。第三代磺脲类药物(TGS)无法纳入全因死亡率、心血管死亡率或非致命性大血管或微血管结局的任何荟萃分析。TGS与噻唑烷二酮类药物相比,不良事件有统计学意义,支持TGS(RR 0.88,95%CI 0.78至0.99;P = 0.03;3项试验;510名参与者;HRB)。TGS与噻唑烷二酮类药物相比,因不良事件导致的退出无统计学意义。由于缺乏数据,无法对TGS与其他对照进行比较。对于SGS与FGS的比较,无法进行全因死亡率、心血管死亡率、非致命性大血管或微血管结局或不良事件的荟萃分析。由于缺乏数据,无法对与健康相关的生活质量和干预成本进行荟萃分析。在试验序贯分析中,死亡率结局、血管结局或严重低血糖的分析均未达到干预组之间RRR为10%的确凿证据标准。

作者结论

随机对照试验的证据不足,无法支持关于是否启动磺脲类单药治疗的决策。缺乏对患者重要结局的数据。因此,需要开展大规模、长期、低偏倚风险且关注患者重要结局的随机临床试验。

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