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2型糖尿病成年患者体重减轻的药物治疗

Pharmacotherapy for weight loss in adults with type 2 diabetes mellitus.

作者信息

Norris S L, Zhang X, Avenell A, Gregg E, Schmid C H, Lau J

机构信息

Division of Diabetes Translation, National Center for Chronic Disease Prevention & Health Promotion, Centers for Control and Prevention, 4774 Buford Highway NE, Mail Stop K-10, Atlanta, GA 30341, USA.

出版信息

Cochrane Database Syst Rev. 2005 Jan 25;2005(1):CD004096. doi: 10.1002/14651858.CD004096.pub2.


DOI:10.1002/14651858.CD004096.pub2
PMID:15674929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6718205/
Abstract

BACKGROUND: Obesity is closely related to type 2 diabetes and long-term weight reduction is an important part of the care delivered to obese persons with diabetes. OBJECTIVES: To assess the efficacy of pharmacotherapy for weight loss in adults with type 2 diabetes. SEARCH STRATEGY: Computerized searches were performed of MEDLINE (January 1966 to May 2004), EMBASE (January 1974 to May 2004, Web of Science (January 1981 to May 2004, and other electronic bibliographic databases, supplemented with hand searches of reference lists and selected journals. SELECTION CRITERIA: Randomized, controlled trials were included where pharmacotherapy was used as the primary strategy for weight loss among adults with type 2 diabetes. Published and unpublished literature in any language and with any study design was included. DATA COLLECTION AND ANALYSIS: Two reviewers abstracted data and the quality of included studies was evaluated by assessing potential attrition, as well as selection and measurement bias, and a Jadad score was obtained. Effects were combined using a random effects model. MAIN RESULTS: A sufficient number of studies were available for a quantitative synthesis for fluoxetine, orlistat, and sibutramine. Twenty two randomized controlled trials were included in the review, with a total of 296 participants for fluoxitine, 2036 for orlistat, and 1047 for sibutramine. Pharmacotherapy produced modest reductions in weight for fluoxetine (5.1 kg (95% confidence interval [CI], 3.3 - 6.9) at 24 to 26 weeks follow up; orlistat 2.0 kg (CI, 1.3 - 2.8) at 12 to 57 weeks follow-up, and sibutramine 5.1 kg (CI, 3.2 - 7.0) at 12 to 52 weeks follow-up. Glycated hemoglobin also modestly and significantly reduced for fluoxetine and orlistat. Gastrointestinal side effects were common with orlistat; tremor, somnolence and sweating with fluoxetine; and palpitations with sibutramine. Some studies, using a variety of study designs, were available on other drugs and a significant decrease in weight was noted in three studies of mazindol, one of phenmetrazine, two of phentermine. No studies were identified that fit inclusion criteria for pseudophedrine, ephedra, sertraline, yohimbine, amphetamine or its derivatives, bupropion, topiramate, benzocaine, threachlorocitric acid, sertraline, and bromocriptine. AUTHORS' CONCLUSIONS: Fluoxetine, orlistat, and sibutramine can achieve statistically significant weight loss over 12 to 57 weeks. The magnitude of weight loss is modest, however, and the long-term health benefits remain unclear. The safety of sibutramine is uncertain. There is a paucity of data on other drugs for weight loss or control in persons with type 2 diabetes.

摘要

背景:肥胖与2型糖尿病密切相关,长期减重是糖尿病肥胖患者护理的重要组成部分。 目的:评估药物治疗对2型糖尿病成年患者体重减轻的疗效。 检索策略:对MEDLINE(1966年1月至2004年5月)、EMBASE(1974年1月至2004年5月)、科学引文索引(1981年1月至2004年5月)及其他电子书目数据库进行计算机检索,并辅以对参考文献列表和选定期刊的手工检索。 入选标准:纳入以药物治疗作为2型糖尿病成年患者主要减重策略的随机对照试验。纳入任何语言、任何研究设计的已发表和未发表文献。 数据收集与分析:两名评价者提取数据,并通过评估潜在损耗以及选择和测量偏倚来评估纳入研究的质量,得出Jadad评分。采用随机效应模型合并效应量。 主要结果:有足够数量的研究可对氟西汀、奥利司他和西布曲明进行定量综合分析。该综述纳入了22项随机对照试验,氟西汀共有296名参与者,奥利司他有2036名,西布曲明有1047名。药物治疗使氟西汀在24至26周随访时体重适度减轻(5.1千克(95%置信区间[CI],3.3 - 6.9));奥利司他在12至57周随访时体重减轻2.0千克(CI,1.3 - 2.8);西布曲明在12至52周随访时体重减轻5.1千克(CI,3.2 - 7.0)。氟西汀和奥利司他还使糖化血红蛋白适度且显著降低。奥利司他常见胃肠道副作用;氟西汀有震颤、嗜睡和出汗;西布曲明有心悸。关于其他药物有一些采用各种研究设计的研究,在三项马吲哚研究、一项苯甲曲秦研究、两项苯丁胺研究中观察到体重显著下降。未发现符合伪麻黄碱、麻黄、舍曲林、育亨宾、苯丙胺或其衍生物、安非他酮、托吡酯、苯佐卡因、三氯柠檬酸、舍曲林和溴隐亭纳入标准的研究。 作者结论:氟西汀、奥利司他和西布曲明在12至57周内可实现具有统计学意义的体重减轻。然而,体重减轻幅度不大,长期健康益处尚不清楚。西布曲明的安全性不确定。关于2型糖尿病患者使用其他药物进行体重减轻或控制的数据很少。

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