Lohner Szimonetta, Kuellenberg de Gaudry Daniela, Toews Ingrid, Ferenci Tamas, Meerpohl Joerg J
Cochrane Hungary, Clinical Center of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary.
Institute for Evidence in Medicine (for Cochrane Germany Foundation), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Cochrane Database Syst Rev. 2020 May 25;5(5):CD012885. doi: 10.1002/14651858.CD012885.pub2.
Products sweetened with non-nutritive sweeteners (NNS) are widely available. Many people with type 1 or type 2 diabetes use NNS as a replacement for nutritive sweeteners to control their carbohydrate and energy intake. Health outcomes associated with NNS use in diabetes are unknown.
To assess the effects of non-nutritive sweeteners in people with diabetes mellitus.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE Ovid, Scopus, the WHO ICTRP, and ClinicalTrials.gov. The date of the last search of all databases (except for Scopus) was May 2019. We last searched Scopus in January 2019. We did not apply any language restrictions.
We included randomised controlled trials (RCTs) with a duration of four weeks or more comparing any type of NNS with usual diet, no intervention, placebo, water, a different NNS, or a nutritive sweetener in individuals with type 1 or type 2 diabetes. Trials with concomitant behaviour-changing interventions, such as diet, exercise, or both, were eligible for inclusion, given that the concomitant interventions were the same in the intervention and comparator groups.
Two review authors independently screened abstracts, full texts, and records retrieved from trials registries, assessed the certainty of the evidence, and extracted data. We used a random-effects model to perform meta-analysis, and calculated effect estimates as risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, using 95% confidence intervals (CIs). We assessed risk of bias using the Cochrane 'Risk of bias' tool and the certainty of evidence using the GRADE approach.
We included nine RCTs that randomised a total of 979 people with type 1 or type 2 diabetes. The intervention duration ranged from 4 to 10 months. We judged none of these trials as at low risk of bias for all 'Risk of bias' domains; most of the included trials did not report the method of randomisation. Three trials compared the effects of a dietary supplement containing NNS with sugar: glycosylated haemoglobin A1c (HbA1c) was 0.4% higher in the NNS group (95% CI -0.5 to 1.2; P = 0.44; 3 trials; 72 participants; very low-certainty evidence). The MD in weight change was -0.1 kg (95% CI -2.7 to 2.6; P = 0.96; 3 trials; 72 participants; very low-certainty evidence). None of the trials with sugar as comparator reported on adverse events. Five trials compared NNS with placebo. The MD for HbA1c was 0%, 95% CI -0.1 to 0.1; P = 0.99; 4 trials; 360 participants; very low-certainty evidence. The 95% prediction interval ranged between -0.3% and 0.3%. The comparison of NNS versus placebo showed a MD in body weight of -0.2 kg, 95% CI -1 to 0.6; P = 0.64; 2 trials; 184 participants; very low-certainty evidence. Three trials reported the numbers of participants experiencing at least one non-serious adverse event: 36/113 participants (31.9%) in the NNS group versus 42/118 participants (35.6%) in the placebo group (RR 0.78, 95% CI 0.39 to 1.56; P = 0.48; 3 trials; 231 participants; very low-certainty evidence). One trial compared NNS with a nutritive low-calorie sweetener (tagatose). HbA1c was 0.3% higher in the NNS group (95% CI 0.1 to 0.4; P = 0.01; 1 trial; 354 participants; very low-certainty evidence). This trial did not report body weight data and adverse events. The included trials did not report data on health-related quality of life, diabetes complications, all-cause mortality, or socioeconomic effects.
AUTHORS' CONCLUSIONS: There is inconclusive evidence of very low certainty regarding the effects of NNS consumption compared with either sugar, placebo, or nutritive low-calorie sweetener consumption on clinically relevant benefit or harm for HbA1c, body weight, and adverse events in people with type 1 or type 2 diabetes. Data on health-related quality of life, diabetes complications, all-cause mortality, and socioeconomic effects are lacking.
使用非营养性甜味剂(NNS)增甜的产品随处可见。许多1型或2型糖尿病患者使用NNS替代营养性甜味剂来控制碳水化合物和能量摄入。NNS用于糖尿病患者的健康结局尚不清楚。
评估非营养性甜味剂对糖尿病患者的影响。
我们检索了Cochrane对照试验中央注册库(CENTRAL)、MEDLINE Ovid、Scopus、世界卫生组织国际临床试验注册平台(WHO ICTRP)和ClinicalTrials.gov。除Scopus外,所有数据库的最后检索日期为2019年5月。我们于2019年1月最后一次检索Scopus。我们未设置任何语言限制。
我们纳入了为期四周或更长时间的随机对照试验(RCT),这些试验比较了任何类型的NNS与常规饮食、无干预、安慰剂、水、另一种NNS或营养性甜味剂对1型或2型糖尿病患者的影响。伴有行为改变干预措施(如饮食、运动或两者兼有)的试验符合纳入条件,前提是干预组和对照组的伴随干预措施相同。
两位综述作者独立筛选摘要、全文以及从试验注册库中检索到的记录,评估证据的确定性,并提取数据。我们使用随机效应模型进行荟萃分析,并计算二分类结局的效应估计值作为风险比(RRs),连续结局的效应估计值作为平均差(MDs),并使用95%置信区间(CIs)。我们使用Cochrane“偏倚风险”工具评估偏倚风险,并使用GRADE方法评估证据的确定性。
我们纳入了9项RCT,共随机分配了979名1型或2型糖尿病患者。干预持续时间为4至10个月。我们认为这些试验在所有“偏倚风险”领域均未处于低偏倚风险;大多数纳入试验未报告随机化方法。三项试验比较了含NNS的膳食补充剂与糖的效果:NNS组糖化血红蛋白A1c(HbA1c)高0.4%(95%CI -0.5至1.2;P = 0.44;3项试验;72名参与者;极低确定性证据)。体重变化的MD为-0.1 kg(95%CI -2.7至2.6;P = 0.96;3项试验;72名参与者;极低确定性证据)。以糖为对照的试验均未报告不良事件。五项试验比较了NNS与安慰剂:HbA1c的MD为0%,95%CI -0.1至0.1;P = 0.99;4项试验;360名参与者;极低确定性证据。95%预测区间在-0.3%至0.3%之间。NNS与安慰剂的比较显示体重MD为-0.2 kg,95%CI -1至0.6;P = 0.64;2项试验;184名参与者;极低确定性证据。三项试验报告了经历至少一次非严重不良事件的参与者数量:NNS组113名参与者中有36名(31.9%),安慰剂组118名参与者中有42名(35.6%)(RR 0.78,95%CI 0.39至1.56;P = 0.48;3项试验;231名参与者;极低确定性证据)。一项试验比较了NNS与营养性低热量甜味剂(塔格糖):NNS组HbA1c高0.3%(95%CI 0.1至0.4;P = 0.01;1项试验;354名参与者;极低确定性证据)。该试验未报告体重数据和不良事件。纳入试验未报告与健康相关的生活质量、糖尿病并发症、全因死亡率或社会经济影响的数据。
与食用糖、安慰剂或营养性低热量甜味剂相比,关于NNS摄入对1型或2型糖尿病患者HbA1c、体重和不良事件的临床相关益处或危害的影响,证据极不确定且尚无定论。缺乏与健康相关的生活质量、糖尿病并发症、全因死亡率和社会经济影响的数据。