低热量甜味剂消费与体重和肥胖关系的综述。

Kelly A Higgins, Rita Rawal, Matthew Kramer, David J Baer, Aaron Yerke, David M Klurfeld
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引用次数: 0

摘要

背景:近年来发表了许多关于低热量甜味剂(LCS)的系统综述(SR)和荟萃分析(MA),其结论是 LCS 对各种健康结果具有有益、中性或有害的影响,具体取决于综述的内容:本综述旨在确定研究低碳水化合物摄入量与体重(BW)之间关系的 SR 的研究方法如何影响其研究结果,以及 MA 结果是否能提供一致的估计效应:2022 年 11 月,对 PubMed、Scopus 和 Cochrane 图书馆进行了系统检索,以确定调查食用低碳水化合物与体重之间关系的随机对照试验 (RCT) 或非随机研究 (NRS) 的 SR。从每个符合条件的SR中提取了方法、MA结果和结论:结果:在 985 项搜索结果中,有 20 项 SR 评估了低碳水化合物与体重之间的关系,其中包括 75 项 RCT、42 项前瞻性队列研究和 10 项横断面研究。每个 SR 中纳入的研究在很大程度上缺乏重叠,部分原因是根据设计纳入研究;因此,每个 SR 综合了截然不同的研究结果。证据综合方法不尽相同,而且往往不透明,因此很难确定为什么某些研究的结果被排除在外,或者为什么SR之间会出现不同的结果:调查 LCS 对生物量影响的 SR 采用不同的方法来回答据称相同的问题,从不同的异质研究中汲取资料,忽视了 MA 所需的基本假设,导致结果和结论的差异。以往的千年生态系统评估表明,研究设计的影响很大,这导致 RCT 和 NRS 的千年生态系统评估对 LCS 对体重影响的估计不一致。鉴于长期 RCT 的存在,这些研究应成为确定 LCS 与体重之间因果关系(或缺乏因果关系)的基础。该试验在 PROSPERO 注册为 CRD42022351200。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Reviews on the Association of Low Calorie Sweetener Consumption With Body Weight and Adiposity.

Background: Numerous systematic reviews (SR) and meta-analyses (MA) on low calorie sweeteners (LCS) have been published in recent years, concluding that LCS have beneficial, neutral, or detrimental effects on various health outcomes, depending on the review.

Objectives: The objective of this overview of reviews was to determine how the methodologies of SR investigating the association between LCS consumption and body weight (BW) influence their findings and whether MA results can provide a consistent estimated effect.

Methods: Systematic searches of PubMed, Scopus, and Cochrane Library were conducted in November 2022 to identify SR of randomized controlled trials (RCT) or non-randomized studies (NRS) investigating the association between LCS consumption and BW. The methods, MA results, and conclusions were extracted from each eligible SR.

Results: Of the 985 search results, 20 SR evaluated the association between LCS and BW, drawing from publications of 75 RCT, 42 prospective cohort studies, and 10 cross-sectional studies. There was a considerable lack of overlap of studies included within each SR attributed, in part, to the inclusion of studies based on design; thus, each SR synthesized results from distinctly different studies. Evidence synthesis methods were heterogeneous and often opaque, making it difficult to determine why results from certain studies were excluded or why disparate results were observed between SR.

Conclusions: SR investigating the effect of LCS on BW implement different methodologies to answer allegedly the same question, drawing from a different set of heterogeneous studies, ignoring the basic assumptions required for MA, resulting in disparate results and conclusions. Previous MA show the large effects of study design, which results in inconsistent estimates of the effect of LCS on BW between MA of RCT and NRS. Given the availability of long-term RCT, these studies should be the basis of determining causal relationships (or lack thereof) between LCS and BW. This trial was registered at PROSPERO as CRD42022351200.

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