看看下面这个 review，也许并不像说的那么好（俺试翻一下第一和最后一段）。

A critical review of low-carbohydrate diets in people with Type 2 diabetes.

Review article

van Wyk HJ, et al. Diabet Med. 2016.

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Abstract

AIMS: The efficacy of low-carbohydrate diets (LCD) in people with Type 2 diabetes has divided the nutrition community. This review seeks to re-examine the available data to clarify understanding.

METHODS: A comprehensive search of databases was used to identify meta-analyses of LCD in Type 2 diabetes. To improve the quality of the studies analysed, the following inclusion criteria were applied: randomized control trials ≥ 4 weeks in people aged > 18 years with Type 2 diabetes; a carbohydrate intake ≤ 45% of total energy intake per day; and a dietary intake assessment at the end of the study. The resulting studies were subjected to a thematic analysis.

RESULTS: Nine meta-analyses were identified containing 153 studies. Twelve studies met our amended inclusion criteria. There were no significant differences in metabolic markers, including glycaemic control, between the two diets, although weight loss with a LCD was greater in one study. Carbohydrate intake at 1 year in very LCD (< 50 g of carbohydrates) ranged from 132 to 162 g. In some studies, the difference between diets was as little as 8 g/day of carbohydrates.

CONCLUSION: Total energy intake remains the dietary predictor of body weight. A LCD appears no different from a high-carbohydrate diet in terms of metabolic markers and glycaemic control. Very LCDs may not be sustainable over a medium to longer term as carbohydrate intake in diets within studies often converged toward a more moderate level. The variable quality of studies included in earlier meta-analyses likely explains the previous inconsistent findings between meta-analyses.

© 2015 The Authors. Diabetic Medicine © 2015 Diabetes UK.

 

目的：低碳水化合物饮食（LCD）在2型糖尿病患者中的疗效在营养界存在截然不同的两种观点。这篇综述旨在重新运用现有数据，以正视听。

 

结论：总热量摄入仍然是体重的决定性指标。在代谢指标和血糖控制方面，低碳水化合物饮食与高碳水化合物饮食没有区别。由于在研究中极低碳水化合物饮食者的碳水化合物摄入量通常趋向于中等水平，所以极低碳水化合物饮食并不能持续多久。包含在早期综合分析中的临床研究质量参差不齐可以用来解释为什么之前的综合分析得出了不尽一致的结论